McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
24/06/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. As part of our London or Wroclaw office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey's scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Master's or PhD degree 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Proven experience applying machine learning techniques to solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
21/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
About the Role We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships, to the decision leadership makes off the back of it. Risk and fraud is where you'll have the clearest impact, but the role reaches across Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. What You'll Do Risk, fraud and compliance. Build and iterate on fraud detection, chargeback prediction, and transaction-risk models. Develop features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users. Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn prediction). Business intelligence and reporting. Build trusted dashboards and self-serve data products for Product, Growth, Finance, and the executive team. Define and steward the metrics that the business runs on. Storytelling and strategy. Turn analyses into clear narratives and recommendations. Present findings to engineers, PMs, and the C-suite alike, and influence roadmaps with data. Data craftsmanship. Partner with Data Engineering to improve event tracking, data models, and the warehouse. Treat data quality as a first-class product. Requirements: 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing, power, and common pitfalls (peeking, multiple comparisons, novelty effects). Machine learning intuition. You can pick the right model for the problem, evaluate it honestly (precision/recall trade-offs, calibration, drift), and ship it responsibly. Visualization and BI. Comfortable building dashboards in Looker, Metabase, Tableau, Superset, or similar. Communication. You can explain a confusion matrix to a PM and a funnel drop-off to the CEO, in the same week, in the same tone. Ownership. You treat ambiguous problems as opportunities and don't wait to be told what to analyze next. Nice to Have Experience in crypto, payments, banking, fraud, or compliance. Familiarity with dbt, Airflow, or similar data-stack tooling. Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling). Experience deploying models to production (batch or real-time) alongside engineers. Knowledge of AML / KYC frameworks or experience working with regulators.
19/06/2026
Full time
About the Role We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships, to the decision leadership makes off the back of it. Risk and fraud is where you'll have the clearest impact, but the role reaches across Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. What You'll Do Risk, fraud and compliance. Build and iterate on fraud detection, chargeback prediction, and transaction-risk models. Develop features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users. Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn prediction). Business intelligence and reporting. Build trusted dashboards and self-serve data products for Product, Growth, Finance, and the executive team. Define and steward the metrics that the business runs on. Storytelling and strategy. Turn analyses into clear narratives and recommendations. Present findings to engineers, PMs, and the C-suite alike, and influence roadmaps with data. Data craftsmanship. Partner with Data Engineering to improve event tracking, data models, and the warehouse. Treat data quality as a first-class product. Requirements: 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing, power, and common pitfalls (peeking, multiple comparisons, novelty effects). Machine learning intuition. You can pick the right model for the problem, evaluate it honestly (precision/recall trade-offs, calibration, drift), and ship it responsibly. Visualization and BI. Comfortable building dashboards in Looker, Metabase, Tableau, Superset, or similar. Communication. You can explain a confusion matrix to a PM and a funnel drop-off to the CEO, in the same week, in the same tone. Ownership. You treat ambiguous problems as opportunities and don't wait to be told what to analyze next. Nice to Have Experience in crypto, payments, banking, fraud, or compliance. Familiarity with dbt, Airflow, or similar data-stack tooling. Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling). Experience deploying models to production (batch or real-time) alongside engineers. Knowledge of AML / KYC frameworks or experience working with regulators.
About the Role We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships, to the decision leadership makes off the back of it. Risk and fraud is where you'll have the clearest impact, but the role reaches across Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. What You'll Do Risk, fraud and compliance. Build and iterate on fraud detection, chargeback prediction, and transaction-risk models. Develop features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users. Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn prediction). Business intelligence and reporting. Build trusted dashboards and self-serve data products for Product, Growth, Finance, and the executive team. Define and steward the metrics that the business runs on. Storytelling and strategy. Turn analyses into clear narratives and recommendations. Present findings to engineers, PMs, and the C-suite alike, and influence roadmaps with data. Data craftsmanship. Partner with Data Engineering to improve event tracking, data models, and the warehouse. Treat data quality as a first-class product. Requirements: 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing, power, and common pitfalls (peeking, multiple comparisons, novelty effects). Machine learning intuition. You can pick the right model for the problem, evaluate it honestly (precision/recall trade-offs, calibration, drift), and ship it responsibly. Visualization and BI. Comfortable building dashboards in Looker, Metabase, Tableau, Superset, or similar. Communication. You can explain a confusion matrix to a PM and a funnel drop-off to the CEO, in the same week, in the same tone. Ownership. You treat ambiguous problems as opportunities and don't wait to be told what to analyze next. Nice to Have Experience in crypto, payments, banking, fraud, or compliance. Familiarity with dbt, Airflow, or similar data-stack tooling. Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling). Experience deploying models to production (batch or real-time) alongside engineers. Knowledge of AML / KYC frameworks or experience working with regulators.
18/06/2026
Full time
About the Role We're hiring a mid-level Data Scientist (2 to 5 years' experience) for our Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships, to the decision leadership makes off the back of it. Risk and fraud is where you'll have the clearest impact, but the role reaches across Product, Growth, and Engineering, and your work turns into product, policy, and revenue. If you're drawn to crypto, payments, and the kind of data they throw off, there's a lot here to get into. What You'll Do Risk, fraud and compliance. Build and iterate on fraud detection, chargeback prediction, and transaction-risk models. Develop features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users. Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside the product (e.g., dynamic payment method ranking, user lifetime value, churn prediction). Business intelligence and reporting. Build trusted dashboards and self-serve data products for Product, Growth, Finance, and the executive team. Define and steward the metrics that the business runs on. Storytelling and strategy. Turn analyses into clear narratives and recommendations. Present findings to engineers, PMs, and the C-suite alike, and influence roadmaps with data. Data craftsmanship. Partner with Data Engineering to improve event tracking, data models, and the warehouse. Treat data quality as a first-class product. Requirements: 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/B testing, sample sizing, power, and common pitfalls (peeking, multiple comparisons, novelty effects). Machine learning intuition. You can pick the right model for the problem, evaluate it honestly (precision/recall trade-offs, calibration, drift), and ship it responsibly. Visualization and BI. Comfortable building dashboards in Looker, Metabase, Tableau, Superset, or similar. Communication. You can explain a confusion matrix to a PM and a funnel drop-off to the CEO, in the same week, in the same tone. Ownership. You treat ambiguous problems as opportunities and don't wait to be told what to analyze next. Nice to Have Experience in crypto, payments, banking, fraud, or compliance. Familiarity with dbt, Airflow, or similar data-stack tooling. Exposure to causal inference (difference-in-differences, propensity scoring, uplift modeling). Experience deploying models to production (batch or real-time) alongside engineers. Knowledge of AML / KYC frameworks or experience working with regulators.
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we are a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Retail Innovation team, you will help shape the future of rail travel by evaluating new ticketing models, customer experiences and industry programmes. You will bring analytical rigour, curiosity and clear communication to complex questions, turning large and sometimes ambiguous datasets into actionable insight for internal teams, senior stakeholders, external partners, operators and the wider rail ecosystem. In this role as the Data Analyst, you will Analyse customer behaviour, revenue, usage patterns and business outcomes to evaluate new initiatives and industry programmes. Support the design, measurement and evaluation of trials and pilots, helping teams understand their impact on customers, operators and the wider rail ecosystem. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product, Commercial and external partner teams to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success for new ticketing approaches, retail innovation initiatives and wider industry changes. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical workstreams and balance competing priorities. Ideally, experience with dbt or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Travel & Disruption team, you will help us build a better travel proposition for our customers. You'll use data to understand how customers engage with our travel features throughout their journey, helping teams make better decisions that improve the travel experience. Whether customers are enjoying a seamless journey or navigating unexpected disruption, your insights will help shape products and services that make rail travel easier, more reliable and more rewarding for millions of customers. In this role as the Data Analyst, you will Analyse customer behaviour in relation to our travel products. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product and Design to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success in the Travel space. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical work streams and balance competing priorities. Ideally, experience with DBT or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. More information Enjoy fantastic perks like private healthcare and dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
15/06/2026
Full time
About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be. Today, we are a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Retail Innovation team, you will help shape the future of rail travel by evaluating new ticketing models, customer experiences and industry programmes. You will bring analytical rigour, curiosity and clear communication to complex questions, turning large and sometimes ambiguous datasets into actionable insight for internal teams, senior stakeholders, external partners, operators and the wider rail ecosystem. In this role as the Data Analyst, you will Analyse customer behaviour, revenue, usage patterns and business outcomes to evaluate new initiatives and industry programmes. Support the design, measurement and evaluation of trials and pilots, helping teams understand their impact on customers, operators and the wider rail ecosystem. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product, Commercial and external partner teams to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success for new ticketing approaches, retail innovation initiatives and wider industry changes. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical workstreams and balance competing priorities. Ideally, experience with dbt or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. Introducing the Trainline Data Analytics Team Data Analytics is central to how we build better products, support our customers and grow our business. Our Data Analysts are embedded across cross-functional teams spanning product, commercial and industry initiatives, working closely with Product Managers, Software Engineers, Commercial teams, Embedded Data Scientists and the wider Data organisation to enable confident, evidence-based decision making. As a Data Analyst in the Travel & Disruption team, you will help us build a better travel proposition for our customers. You'll use data to understand how customers engage with our travel features throughout their journey, helping teams make better decisions that improve the travel experience. Whether customers are enjoying a seamless journey or navigating unexpected disruption, your insights will help shape products and services that make rail travel easier, more reliable and more rewarding for millions of customers. In this role as the Data Analyst, you will Analyse customer behaviour in relation to our travel products. Translate complex analysis into clear, compelling insights and practical recommendations for technical and non-technical audiences. Produce high-quality analytical deliverables, dashboards, reports and presentations that help senior stakeholders and external partners make informed decisions. Work closely with Data Scientists to structure analytical approaches, interpret findings and draw meaningful conclusions from large and complex datasets. Collaborate across Data, Product and Design to ensure insight is embedded into decision making from early exploration through to delivery. Help define how we measure success in the Travel space. Contribute to a growing Data organisation that includes Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. We'd love to hear from you if you have Experience using analytics to support business decisions, answer complex commercial questions and identify opportunities for improvement. Strong SQL skills and confidence working with large datasets to produce accurate, reliable and well-structured analysis. The ability to structure analytical work clearly, navigate ambiguity and turn complex findings into actionable recommendations. Experience communicating insight to a range of audiences, including senior stakeholders and colleagues from technical and non-technical backgrounds. Strong data visualisation skills, ideally using tools such as Tableau, Power BI or similar. A thoughtful approach to storytelling, with the ability to create polished deliverables that make insight easy to understand and act on. Strong organisational skills, with the ability to manage multiple analytical work streams and balance competing priorities. Ideally, experience with DBT or modern data transformation workflows, and exposure to analysing experiments, pilots or trials. More information Enjoy fantastic perks like private healthcare and dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy. Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
13/06/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel - fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner referred customers that receive an offer. The team works across the full application stack - from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross functional, combining data science, engineering, design, and product. Active projects include: Pre qualification - testing how showing customers an offer before they apply affects conversion and long term value Credit card strategy - iwoca recently launched a credit card alongside its flexi loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data. Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end to end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath. Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies Interview welcome pack
13/06/2026
Full time
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel - fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner referred customers that receive an offer. The team works across the full application stack - from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross functional, combining data science, engineering, design, and product. Active projects include: Pre qualification - testing how showing customers an offer before they apply affects conversion and long term value Credit card strategy - iwoca recently launched a credit card alongside its flexi loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data. Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end to end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath. Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies Interview welcome pack
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. What is the opportunity? Intercom's AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are very product focused, working in a team of 50+ ML scientists, engineers, designers and researchers who partner across the company to move to production fast, often shipping to beta within weeks of a successful offline test. We run experiments, use frequentist and Bayesian approaches, and create dashboards to track AI feature success. What will I be doing? Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics ready data platform. Cross functional Collaboration: Partner with AI analysts, ML scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions. Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. Advanced Analytics & Insights: Conduct data analysis and build custom models to support strategic business decisions and performance measurement. Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency. Innovation in Data Infrastructure: Create scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs. Strategic Influence: Work with partner teams to align data collection with long term analytics and feature development goals. About You You write advanced SQL with a preference for well architected data models, optimized query performance, and clearly documented code. You're familiar with the modern data stack; dbt and Snowflake experience are a big plus. You have a growth mindset and eagerness to learn. You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice to have and to make good choices about trade offs. You practice excellent communication skills, tailoring explanations of technical concepts to a variety of audiences. Nice to haves Exposure to Apache Airflow or other DAG frameworks - all of our data workflows and transformations are orchestrated and scheduled with Airflow. Experience in Tableau, Looker, or similar visualization/business intelligence platforms. Experience with operational tools and business systems such as Google Analytics, Marketo, Salesforce, Segment, or Stripe. Familiarity with Python. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
11/06/2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. What is the opportunity? Intercom's AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are very product focused, working in a team of 50+ ML scientists, engineers, designers and researchers who partner across the company to move to production fast, often shipping to beta within weeks of a successful offline test. We run experiments, use frequentist and Bayesian approaches, and create dashboards to track AI feature success. What will I be doing? Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics ready data platform. Cross functional Collaboration: Partner with AI analysts, ML scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions. Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows. Advanced Analytics & Insights: Conduct data analysis and build custom models to support strategic business decisions and performance measurement. Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency. Innovation in Data Infrastructure: Create scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs. Strategic Influence: Work with partner teams to align data collection with long term analytics and feature development goals. About You You write advanced SQL with a preference for well architected data models, optimized query performance, and clearly documented code. You're familiar with the modern data stack; dbt and Snowflake experience are a big plus. You have a growth mindset and eagerness to learn. You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice to have and to make good choices about trade offs. You practice excellent communication skills, tailoring explanations of technical concepts to a variety of audiences. Nice to haves Exposure to Apache Airflow or other DAG frameworks - all of our data workflows and transformations are orchestrated and scheduled with Airflow. Experience in Tableau, Looker, or similar visualization/business intelligence platforms. Experience with operational tools and business systems such as Google Analytics, Marketo, Salesforce, Segment, or Stripe. Familiarity with Python. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Job Title Data Scientist, AI Agents Salary £60-100k + Equity Company Description Arctal - AI startup building high-fidelity financial datasets Location London, UK Job Description You will act as a super-IC managing a fleet of AI agents to transform 100,000+ unstructured financial PDFs into clean, queryable data for institutional buyers. This role sits at the intersection of data science and engineering, requiring you to design agentic workflows, prompt chains, and validation logic to ensure professional-grade accuracy at scale. Why this role is remarkable Work at the frontier of agentic workflows, using tools like Claude Code and Cursor to automate the extraction of complex data that was never meant to be machine-readable. Join an elite team of five with the output of fifty, founded by industry veterans from Secondmind and Sylvera with deep roots in Cambridge ML research. Enjoy high intensity growth and direct exposure to institutional customers like asset managers and banks, with meaningful equity in a fast shipping startup. What you will do Design and maintain agent led data pipelines using prompt chains and human in the loop checkpoints to ensure 100% data reliability. Build validation logic in Python and SQL that encodes your expert judgement to catch the edge cases and hallucinations AI agents might miss. Debug and optimize complex data ingestion and transformation systems, acting as the final line of defense before data reaches global financial clients. The ideal candidate Possesses 1-5 years of experience as a data scientist or analytics engineer with a track record of building production grade data pipelines, not just querying tables. Is an AI native practitioner who uses agentic coding tools like Cursor or Claude Code for real world engineering tasks rather than simple chat experiments. Demonstrates an obsessive attention to detail and technical depth in Python, SQL, and terminal environments, with a passion for defining "ground truth" in messy datasets.
11/06/2026
Full time
Job Title Data Scientist, AI Agents Salary £60-100k + Equity Company Description Arctal - AI startup building high-fidelity financial datasets Location London, UK Job Description You will act as a super-IC managing a fleet of AI agents to transform 100,000+ unstructured financial PDFs into clean, queryable data for institutional buyers. This role sits at the intersection of data science and engineering, requiring you to design agentic workflows, prompt chains, and validation logic to ensure professional-grade accuracy at scale. Why this role is remarkable Work at the frontier of agentic workflows, using tools like Claude Code and Cursor to automate the extraction of complex data that was never meant to be machine-readable. Join an elite team of five with the output of fifty, founded by industry veterans from Secondmind and Sylvera with deep roots in Cambridge ML research. Enjoy high intensity growth and direct exposure to institutional customers like asset managers and banks, with meaningful equity in a fast shipping startup. What you will do Design and maintain agent led data pipelines using prompt chains and human in the loop checkpoints to ensure 100% data reliability. Build validation logic in Python and SQL that encodes your expert judgement to catch the edge cases and hallucinations AI agents might miss. Debug and optimize complex data ingestion and transformation systems, acting as the final line of defense before data reaches global financial clients. The ideal candidate Possesses 1-5 years of experience as a data scientist or analytics engineer with a track record of building production grade data pipelines, not just querying tables. Is an AI native practitioner who uses agentic coding tools like Cursor or Claude Code for real world engineering tasks rather than simple chat experiments. Demonstrates an obsessive attention to detail and technical depth in Python, SQL, and terminal environments, with a passion for defining "ground truth" in messy datasets.
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
08/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making. As a Data Scientist on the team, you'll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions. What You'll Do Partner with Insights Leads and senior data scientists to design and build performance metric frameworks. Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions. Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact. Scope, prioritize, and execute projects including A/B tests and other experimentation approaches. Apply statistical and causal inference methods to evaluate product changes for internal and external users. Create compelling data stories through visualizations and reporting that influence decision making across the Alliance. Grow into a strategic analytical partner by taking on increasingly complex data challenges. Who You Are You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action. You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact. You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies. You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large scale data technologies. You care about building reliable metrics and helping teams make informed decisions using trustworthy data. You have experience collaborating with engineers, product managers, and cross functional partners. You are curious, adaptable, and excited to grow your craft over time. Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know- we're here to support you in any way we can.
08/06/2026
Full time
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making. As a Data Scientist on the team, you'll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions. What You'll Do Partner with Insights Leads and senior data scientists to design and build performance metric frameworks. Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions. Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact. Scope, prioritize, and execute projects including A/B tests and other experimentation approaches. Apply statistical and causal inference methods to evaluate product changes for internal and external users. Create compelling data stories through visualizations and reporting that influence decision making across the Alliance. Grow into a strategic analytical partner by taking on increasingly complex data challenges. Who You Are You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action. You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact. You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies. You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large scale data technologies. You care about building reliable metrics and helping teams make informed decisions using trustworthy data. You have experience collaborating with engineers, product managers, and cross functional partners. You are curious, adaptable, and excited to grow your craft over time. Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know- we're here to support you in any way we can.
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making. As a Data Scientist on the team, you'll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions. What You'll Do Partner with Insights Leads and senior data scientists to design and build performance metric frameworks. Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions. Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact. Scope, prioritize, and execute projects including A/B tests and other experimentation approaches. Apply statistical and causal inference methods to evaluate product changes for internal and external users. Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance. Grow into a strategic analytical partner by taking on increasingly complex data challenges. Who You Are You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action. You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact. You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies. You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies. You care about building reliable metrics and helping teams make informed decisions using trustworthy data. You have experience collaborating with engineers, product managers, and cross-functional partners. You are curious, adaptable, and excited to grow your craft over time. Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
08/06/2026
Full time
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. The SAFE Insights team supports the five studios that make up the SAFE Alliance: User Platform, User Fraud, IT, Security, and PACE (Procurement, Analytics, and Cost Engineering). We help these studios understand their impact by running experiments, defining and building performance metrics, and delivering analyses that guide decision-making. As a Data Scientist on the team, you'll collaborate across disciplines to surface insights, shape product thinking, and strengthen a culture of evidence-driven decisions. What You'll Do Partner with Insights Leads and senior data scientists to design and build performance metric frameworks. Work with data engineers to create pipelines for key metrics and maintain dashboards that support operational and strategic decisions. Explore complex datasets to identify patterns, trends, and opportunities that help SAFE studios understand their impact. Scope, prioritize, and execute projects including A/B tests and other experimentation approaches. Apply statistical and causal inference methods to evaluate product changes for internal and external users. Create compelling data stories through visualizations and reporting that influence decision-making across the Alliance. Grow into a strategic analytical partner by taking on increasingly complex data challenges. Who You Are You know how to frame questions, explore complex datasets, and develop insights that drive clarity and action. You are experienced with experimentation, causal inference, and the statistical techniques needed to measure product impact. You have a deep understanding of how to communicate insights through dashboards, visualizations, and clear narratives; you have experience with Tableau, Looker, or other data visualization technologies. You are skilled in data science programming languages such as Python or R, and comfortable working with SQL and large-scale data technologies. You care about building reliable metrics and helping teams make informed decisions using trustworthy data. You have experience collaborating with engineers, product managers, and cross-functional partners. You are curious, adaptable, and excited to grow your craft over time. Where You'll Be This role is based in London or Stockholm. We offer you the flexibility to work where you work best! There will be some in-person meetings, but still allows for flexibility to work from home. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
08/06/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
Location London - The River Building HQ Employment Type Full time Department Deliveroo Cost Center Hierarchy Technology Technology Data Science Senior Data Scientist Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo, powering decision making across product, commercial and operations through experimentation, causal inference and machine learning. What You'll Be Doing As a Senior Data Scientist at Deliveroo, your goal is to maximise business impact within one of our product areas. A core part of the role is designing, running and interpreting experiments, and using causal inference to guide product decisions in complex, real world settings. You will go beyond simply answering "did this feature work?" and instead focus on understanding what the true impact is, why it worked or did not work, and how results generalise across users, markets and time. Here's what your day to day might look like: Driving Strategy/insights through Experimentation: Leading the design of both simple and complex experiments and proactively translating findings into strategic direction. Master Causal Inference: Apply advanced techniques to estimate long term and heterogeneous treatment effects. Drawing reliable conclusions in settings with selection bias or imperfect randomisation. Drive Deep Product Insights: Uncover the fundamental drivers of experiment performance, determining why features succeed and how results generalise across different users, markets, and timeframes. Using insights from past experiments to improve future decision making. What You'll Need to Thrive Strong experience designing, running and interpreting A/B experiments in production environments Solid understanding of causal inference concepts Ability to apply statistical thinking to messy, real world product problems, not just ideal experimental setups Great communication skills in person, in writing and in code, with both technical and non technical audiences A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business problems Familiarity with SQL Excellent people skills as you will be meeting with stakeholders to translate business needs into data science problems Why Join Us? Solve meaningful problems at real scale Work on a complex, always on marketplace that impacts millions every day. See your impact, fast Ship, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders High standards, collaboration, flexible working and continuous learning. Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion, or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience.
07/06/2026
Full time
Location London - The River Building HQ Employment Type Full time Department Deliveroo Cost Center Hierarchy Technology Technology Data Science Senior Data Scientist Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo, powering decision making across product, commercial and operations through experimentation, causal inference and machine learning. What You'll Be Doing As a Senior Data Scientist at Deliveroo, your goal is to maximise business impact within one of our product areas. A core part of the role is designing, running and interpreting experiments, and using causal inference to guide product decisions in complex, real world settings. You will go beyond simply answering "did this feature work?" and instead focus on understanding what the true impact is, why it worked or did not work, and how results generalise across users, markets and time. Here's what your day to day might look like: Driving Strategy/insights through Experimentation: Leading the design of both simple and complex experiments and proactively translating findings into strategic direction. Master Causal Inference: Apply advanced techniques to estimate long term and heterogeneous treatment effects. Drawing reliable conclusions in settings with selection bias or imperfect randomisation. Drive Deep Product Insights: Uncover the fundamental drivers of experiment performance, determining why features succeed and how results generalise across different users, markets, and timeframes. Using insights from past experiments to improve future decision making. What You'll Need to Thrive Strong experience designing, running and interpreting A/B experiments in production environments Solid understanding of causal inference concepts Ability to apply statistical thinking to messy, real world product problems, not just ideal experimental setups Great communication skills in person, in writing and in code, with both technical and non technical audiences A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business problems Familiarity with SQL Excellent people skills as you will be meeting with stakeholders to translate business needs into data science problems Why Join Us? Solve meaningful problems at real scale Work on a complex, always on marketplace that impacts millions every day. See your impact, fast Ship, test and improve ideas quickly in a low hierarchy, high ownership environment. Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. A culture built for builders High standards, collaboration, flexible working and continuous learning. Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion, or belief. If you have a disability or long term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience.
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
06/06/2026
Full time
Relay is fundamentally reshaping how goods move in an online era. Key facts about Relay: Europe's largest-ever logistics Series A ($35M), led by deep tech investors Plural, and a team that's scaling faster than 99.98% of venture backed startups. Relay's Mission Free commerce from friction. High delivery costs act as a hidden tax on e commerce, limiting what can be sold online and who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Last Mile network runs on couriers-tens of thousands of them, doing real work in the physical world every day. Whether each parcel gets delivered successfully depends on the decisions and behaviours of the courier on route. We're hiring a Senior Data Analyst to own how Relay measures and improves courier excellence: how we shape what happens on the doorstep, and how we manage performance before and after that interaction. This role works with the whole of the Last Mile team and partners closely with data scientists, engineers and operators across the squad. There is a v1 of performance management already running; you'll own its evolution into something materially better. Last Mile Handover Optimisation Every handover is a trade off between speed, quality and risk. Moving any one of them can have knock on effects on the others, and finding the right balance is one of the most interesting analytical problems in the network. Your job is to make those trade offs visible, model them, and find the levers that move the network in the right direction. You'll run the experiments, design the measurement, and quantify what actually works. Performance Management Relay already has a framework for measuring courier performance, and it feeds into how work is distributed. The job now is to ensure it drives fleet quality-defining the right behaviours to measure, evaluating the interventions designed to help couriers shift those behaviours, and closing the loop so the framework continuously improves. You'll partner with product, ops and engineering across this work, with the analytics owned by you. Courier Facing Analytics Couriers are the end users of much of this work. You'll think about how performance and rewards are made transparent to them, and you'll run experiments to evaluate whether interventions are actually working for couriers and for Relay. Who Will Thrive in This Role You're a strong analyst who thinks in systems. You break complex problems into components and know where the real opportunity lies. You are successful working with high autonomy and are excited to operate in a Product/Programme Manager like capacity, defining the roadmap as well as executing against it. You care about solving the problem more than which techniques you use. You love working with smart, motivated people. You're fluent in SQL. You're comfortable across the analytical spectrum-designing and reading experiments, building risk scores and segmentation, and shipping descriptive analysis that drives a decision the same week. You communicate inclusively with non technical team members. You love seeing the impact of your work play out in a daily operation. Bonus: You have experience working on performance management, marketplace quality, operational analytics or another relevant domain. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays. Enhanced parental leave. Located in Shoreditch, our office set up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Hardware of your choice. Extensive perks (gym subsidies, cycle to work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers and our customers, because when they thrive, so do we. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
05/06/2026
Full time
The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Acquisition Strategy and Tech team is the integrated growth engine for iwoca in Germany. We bridge the gap between high-level commercial strategy and the technical systems that power our customer journey. By combining growth analytics, performance modeling, and full stack engineering, we own the end to end acquisition funnel - from the very first touchpoint to a completed loan application. Our Core Focus: Strategic Growth & Analytics: We serve as the central hub for our Direct Marketing and Sales channels. We translate complex data into actionable strategies, ensuring our outreach is both scalable and profitably managed. Technical Infrastructure: We build and maintain the proprietary systems and models that drive our German operations. This includes optimizing the User Experience (UX) to ensure a frictionless onboarding process for small businesses. Operational Excellence: We connect the dots between data driven decision making and real world commercial impact. Our mission is to ensure every potential customer receives a clear, relevant, and rapid understanding of how iwoca can fund their business. We are a fast moving, cross functional unit designed to turn strategic hypotheses into measurable results. Whether it's refining a marketing model or shipping a new feature in the application journey, we ensure that iwoca's expansion in the German market is backed by robust tech and a clear commercial North Star. The role This role sits at the intersection of commercial strategy, data, and technology. Reporting into the Head of Direct Acquisition, you will lead a high performing, interdisciplinary team of three and own acquisition and activation outcomes for the German market. Your primary objective is to co define the growth strategy and partner closely with engineering and data teams to build the systems, onboarding journeys, and experiments that bring that strategy to life. The scope of this role is broad and we're not looking for someone with deep expertise in every domain the team covers - spanning strategy, analytics, product development, and data science - but rather someone intellectually curious, and skilled at asking the right questions. You'll define hypotheses, lead cross functional initiatives, and own the roadmap for how iwoca engages with German businesses. You will be accountable for measurable impact on acquisition and conversion, bringing ideas to life through rigorous commercial insight, strong customer empathy, and practical delivery. As a Lead, you will also be responsible for coaching your team and establishing the operating rhythm for this new unit. Market and problem understanding Deeply understand the German SME lending landscape, customer needs, and competitive context to sharpen our go to market strategy. Translate market and customer insight into clearly defined product problems and prioritised commercial opportunities. Inform targeting and segmentation strategies to help Marketing and Sales reach the right customers. Product build and optimisation Own the roadmap for acquisition and onboarding, working with engineers and data scientists to develop tools such as lead scoring systems, eligibility checkers, and onboarding journeys. Work with marketing and sales to evolve website content, sign up flows, and decisioning logic to increase conversion. Influence future team capability by helping define priorities, roles, and processes as we scale. Experimentation and insight Design, run, and interpret A/B tests across messaging, targeting, onboarding tools, and product flows. Identify opportunities using first principle reasoning supported by data, customer research, and funnel analysis. Cross functional collaboration Manage, coach, and develop a team of at the beginning two commercial strategy analysts and a data scientist focused on acquisition strategy and operational excellence. Lead cross functional initiatives, aligning engineering, data, marketing, and commercial stakeholders around clear goals, hypotheses, and success metrics. Translate high level business goals into testable hypotheses and actionable briefs for our technical teams. Help establish the operating rhythm, rituals, and roadmap processes for this new team. The requirements Essential Strong commercial mindset with proven experience driving go to market strategy and measurable acquisition growth. Experience in growth strategy, revenue operations, or a highly analytical commercial role with a track record of driving tech enabled or product led growth. Proven people management or team leadership experience, with the ability to build culture and establish operating rhythms in a newly formed team. Fluency in German and strong written communication skills tailored to customer facing environments. Strong analytical capability and experience with experimentation frameworks and A/B testing tools. Experience working with (or a strong desire to learn about) technical models such as lead scoring, predictive targeting, or qualification logic. Ability to work from first principles and thrive in ambiguity with curiosity and autonomy. Bonus Experience in fintech, lending, B2B SaaS, or regulated products. Experience working closely with engineering, product, or data science teams to ship features or models. Knowledge of the German SME ecosystem or B2B financial products. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. Learning & development A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework). What you need to succeed: Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Nice to have: Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
04/06/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact. As a Staff Data Scientist, you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks. Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply! What you'll be doing: Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework). What you need to succeed: Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. Nice to have: Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). Master's degree or PhD in a quantitative field. Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self-development; A competitive financial package with equity, leave allowance and health insurance; Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub Access to free mental health support platforms; Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!). Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
03/06/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
03/06/2026
Full time
About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel - fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack - from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: Pre-qualification - testing how showing customers an offer before they apply affects conversion and long term value Credit card strategy - iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner-referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data.Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies Interview welcome pack
03/06/2026
Full time
Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel - fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack - from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: Pre-qualification - testing how showing customers an offer before they apply affects conversion and long term value Credit card strategy - iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner-referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data.Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies Interview welcome pack
