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Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Shift Day Job Description The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management, Analytics, and AI/ML Operations used firm-wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage data. As the Data Catalog Product Manager, you will play a pivotal role in building a unified, multi-channel data marketplace where thousands of firmwide datasets become easy to find, preview, and integrate across application and AI use cases. You will own the end-to-end vision, strategy, and execution - spanning a rich web UI, programmatic APIs, and future agentic integrations (Claude, Copilot, internal AI assistants) that meet consumers where they already work. We want someone who leads with problems, not solutions - who brings deep UX and service design expertise, has built catalog or marketplace products at scale, and can articulate how intelligent discovery evolves in an agentic AI world. What You'll Do Own the Catalog Vision & Strategy Define the multi-year product vision and roadmap for firmwide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north-star metrics tied to real impact: time-to-data, publishing velocity, discovery-to-integration conversion, repeat usage, and governance compliance . Own the full lifecycle from problem discovery delivery adoption iteration. Design a World-Class Discovery Experience Lead the UX and service design vision - intuitive, fast, and delightful across all touchpoints. Build rich dataset pages with metadata, schema previews, sample data, interactive code samples, lineage, quality scores, usage stats, ratings, and community annotations - inspired by the best consumer marketplace patterns (Kaggle, Spotify, App Store). Build for Multi-Channel: UI, API & Agents Architect an API-first platform powering a beautiful web UI today and programmatic access for code-first engineers. Meet consumers in their daily tools - notebooks, IDEs, orchestration platforms, chat interfaces, copilots - eliminating context-switching. Design composable, reusable solutions that integrate with the broader CDAO ecosystem. Champion Both Sides of the Marketplace Producers: Make it effortless to publish, document, version, and maintain datasets with rich metadata, automated quality profiling, and governance guardrails. Consumers: Reduce friction from discovery to access - self-service provisioning, entitlement workflows, one-click integration with SageMaker, Databricks, and EMR. Network effects: Analyze usage trends to improve data quality, discovery and relevancy across persona groups Collaborate with Engineering, Design & Data Science Work with UX designers and researchers on usability testing, rapid prototyping, and user validation. Write detailed PRDs and technical documentation that engineers and consumers can act on. Lead & Influence the team Influence cross-functional stakeholders - engineering, architecture, data science, governance, UX, and senior business leaders. Mentor and develop junior product managers. Required Skills 8+ years in technical product management delivering catalog, marketplace, or discovery platforms from ideation to production at scale. Deep UX & service design sensibility - passion to build clear, intuitive and scalable UI experiences. Multi-channel product delivery - shipped across web UI, API, and/or conversational/agent-based interfaces. Technical depth in data infrastructure - data catalogs, metadata management, governance frameworks, data quality tooling. Strong communication - translate technical complexity into clear narratives for engineers, designers, and executives. Prioritisation at scale - balance competing demands across a large stakeholder base by weighing business impact, user value, and technical feasibility. Preferred Experience in financial services or highly regulated industries . Built or scaled a data catalog, data marketplace, feature store, or developer portals (e.g., Kaggle Datasets, Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns - tool-use, RAG, function calling - and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems - ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists, ML engineers, and analysts across JPMC Shape the future of AI/ML and data infrastructure at one of the world's largest financial institutions About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Senior Research Data Scientist Join a world class team that applies statistical techniques and marketing science to business problems, including demand forecasting, clustering, and measurement. The role involves developing mathematical models, innovative product solutions, and exploring new opportunities for data science across global clients. What You'll Be Doing Create new science based solutions that can be captured as science modules and applied across clients. Apply machine learning approaches such as regularised regression, clustering, tree based ensembles, graph based methods, NLP and neural networks to client data. Conduct exploratory data analysis to characterize and visualize datasets. Expand programming skills in Python and Spark to develop efficient science code. Identify new opportunities within the Data Science space for future solutions. Implement guidance from colleagues to resolve challenges. Follow Quality Assurance processes, coding standards, and best practices. Ensure smooth project delivery, working with senior team members for direction. Build strong relationships within the team and with internal stakeholders to enable clear communication. Who You'll Get to Work With Applied and Research Data Scientist teams Data Science Engineering teams Product and Client teams as required What We Expect From You Master's degree or equivalent in Computer Science, AI, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or a related field. Experience with machine learning techniques such as regularised regression, clustering, or tree based ensembles, and the ability to implement them through libraries. Proficiency in Python programming and handling large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL). Experience with, or quick learning ability for, open source machine learning packages such as Pandas, scikit learn, and data visualization tools. Willingness to present work to both technical and non technical audiences and contribute to the wider data science community. A Plus If You Also Have PhD in a related field. Experience in the retail sector. What You Can Expect From Us Comprehensive rewards and benefits typical of a leading technology company, including flexible working hours and personal day off for your birthday. Additional perks include access to cutting edge technology and a supportive, inclusive workplace culture that embraces diversity and inclusion. Our Approach to Flexible Working We value work life balance and support flexible working arrangements as needed. If flexible options are important to you, please discuss them with your recruiter during the hiring process.

JOIN OUR JOURNEY Medialab is the UK's leading independent media agency, and one of the fastest growing in the industry. We're a media agency that's made differently: purpose led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign 'Best Place to work' for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs, Alzheimer's Society, RNLI and Clearscore. OUR VALUES Commit to Doing the Right Thing (Act with integrity and accountability) Help People Flourish (Invest in people) Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITTMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: Time to Unwind - 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme. Hybrid Working - Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment. Career Growth - A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support. Health & Wellbeing - Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling. Supporting Families - Enhanced parental leave, flexible working and life assurance. Giving Back - Paid charity days and sustainability initiatives. Perks & Rewards - Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE Are you interested in learning and working in the world of data science with its application into the media advertising landscape? Does the world of innovative digital marketing grab your attention? We are looking for a highly numerate undergraduate student currently studying a relevant degree in mathematics, statistics, economics or data science who would be interested in applying their statistical knowledge and helping some brilliant charities deliver donation growth. As University Placement Data Scientist Student at Medialab, you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise. Whilst helping a diverse client-set understand the true value of their media investment. You will also create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. We will help you apply your economics and statistical understanding into the media advertising landscape on practical real-world applications to showcase the value they can have in your career. HOW YOU WILL MAKE AN IMPACT Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making. Statistical methods to solve complex problems and study business performance. Studying market trend data to understand the resulting impact on individual businesses. Support the account management and planning teams across all facets of campaign measurement across media channels. Develop automated data processes using SQL. Ability to organise a variety of large data sets. Undertake regular analysis and reporting for retained clients. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions. Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation. WHAT YOU BRING TO THE TEAM MUST HAVE SKILLS Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science. Theoretical understanding of statistical techniques such as regression and developing confidence measures. Pre-requisite skills: Strong Excel and MS Office usage. Strong data manipulation skills and a keen eye for detail. Good communication skills. NICE TO HAVE SKILLS Inquisitive analytical mind with a strong desire to find things out. Pragmatic approach to problem solving. Highly organised with strong attention to detail. Confident and assertive in social environments. Be a genuine team player whilst also being able to deliver on a task you are responsible for. Good listener, articulate, persuasive, patient and resourceful. Quick learner, pro-active mind set, resourceful, and able to think for self. Logical thinker, with the entrepreneurial eye to identify opportunities. Experience of coding in Python, R or SQL would be useful but not essential. Applications to close Monday 6th April 2026

JOIN OUR JOURNEY Medialab is the UK's leading independent media agency, and one of the fastest growing in the industry. We're a media agency that's made differently: purpose led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is rewarded and there are no limits to what you can achieve, which our employees agree with, evidenced by being a Campaign 'Best Place to work' for the last 5 years in a row, Campaign's Independent Agency of the Year 2024 and The Sunday Times Best Places to Work 2025. We are IPA Effectiveness accredited, an IPA People-First agency and widely awarded including a double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, Sharps Bedrooms, SunLife, Standard Life, Laithwaites Wine, EMMA Mattresses, Save the Children, Mind, Guide Dogs Alzheimer's Society, RNLI and Clearscore. OUR VALUES Commit to Doing the Right Thing (Act with integrity and accountability) Help People Flourish (Invest in people) Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITTMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: Time to Unwind - 22 days holiday (+ Christmas holiday closure), birthday & mental health day off, holiday buying scheme, flexi-hours and work abroad scheme. Hybrid Working - Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment. Career Growth - A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support. Health & Wellbeing - Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and unlimited free professional counselling. Supporting Families - Enhanced parental leave, flexible working and life assurance. Giving Back - Paid charity days and sustainability initiatives. Perks & Rewards - Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE Are you interested in learning and working in the world of data science with its application into the media advertising landscape? Does the world of innovative digital marketing grab your attention? We are looking for a highly numerate undergraduate student currently studying a relevant degree in mathematics, statistics, economics or data science who would be interested in applying their statistical knowledge and helping some brilliant charities deliver donation growth. As University Placement Data Scientist Student at Medialab, you will join the rapidly developing data team, who are responsible for measurement solutions and modelling expertise. Whilst helping a diverse client-set understand the true value of their media investment. You will also create compelling data stories on how to drive growth, and automate the insights into the planning cycle through their advance and integrated tech stack. We will help you apply your economics and statistical understanding into the media advertising landscape on practical real-world applications to showcase the value they can have in your career. HOW YOU WILL MAKE AN IMPACT Work closely with businesses to identify issues that can be resolved using data solutions effectively for decision making. Statistical methods to solve complex problems and study business performance. Studying market trend data to understand the resulting impact on individual businesses. Support the account management and planning teams across all facets of campaign measurement across media channels. Develop automated data processes using SQL. Ability to organise a variety of large data sets. Undertake regular analysis and reporting for retained clients. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Working with the marketing effectiveness team and other senior business stakeholders to develop analytical propositions. Applying and developing your data handling and analytical techniques to client projects including: multi-channel response attribution, retention/churn, customer lifetime value, customer engagement and segmentation. WHAT YOU BRING TO THE TEAM MUST HAVE SKILLS Highly numerate undergraduate studying a relevant degree in mathematics, statistics, economics or data science. Theoretical understanding of statistical techniques such as regression and developing confidence measures. Pre-requisite skills: Strong Excel and MS Office usage. Strong data manipulation skills and a keen eye for detail. Good communication skills. NICE TO HAVE SKILLS Inquisitive analytical mind with a strong desire to find things out. Pragmatic approach to problem solving. Highly organised with strong attention to detail. Confident and assertive in social environments. Be a genuine team player whilst also being able to deliver on a task you are responsible for. Good listener, articulate, persuasive, patient and resourceful. Quick learner, pro-active mind set, resourceful, and able to think for self. Logical thinker, with the entrepreneurial eye to identify opportunities. Experience of coding in Python, R or SQL would be useful but not essential. Applications to close Monday 6th April 2026

Senior Data Scientist London, United Kingdom Role type: Full time Compensation: Competitive Visa sponsorship: Not provided Tech stack APIs Science SQL Amazon AWS Python Requirements Degree(s) or working experience in data science fields Data system development experience (e.g. interacting with APIs using Python or other languages; data manipulation with SQL) Experience with common cloud based data analytics architecture (e.g. Databricks, AWS ) Company Overview IPG Mediabrands, a global media holding company, manages over $37 billion in marketing investments for clients worldwide with a team of 8,500 specialists in 130 countries, offering diverse advertising services.

Location London Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud based AI platforms. Develop and deploy end to end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, and architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Azure AI Engineer Associate or Data Scientist Associate

First things first What will you become a part of? Valtech is the experience innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional - helping brands make the leap beyond the competition and become leaders in a digital world We deliver innovation with a purpose. With expertise across experience design, technology and marketing, our passion is in addressing transformational business challenges for our clients. Challenges where we re imagine the customer journey and build new connected experiences. Challenges where we make data work in this new era and help our clients transform the way they operate and optimise business critical digital platforms for multichannel commerce and marketing. From discovery to optimisation, clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality. We are a network of more than 6,500 makers, thinkers, marketers, creatives, and developers spanning 5 continents with 60+ offices in 20+ countries. Role You'll take overall responsibility on behalf of Valtech for the design and quality of data centric solutions delivered to our customers. Our architects are involved in the detail, and you can expect to work closely with the engineering team. You're also likely to become a 'go to' authority within the company when it comes to data solutions, keeping up to date with industry developments and using your experience to assess the risk profiles of new projects. What you will be doing: Architectural design for new systems, primarily focused on data flow pipelines, storage and analytics Analysis of business problems to understand system requirements, including quality attributes such as performance, availability and security Undertaking information assurance where required Engagement of technical and non technical customer stakeholders at various levels in the organisation, advising and managing expectations where required Technology evaluation/assessment; identifying & recommending platforms and services. Technical leadership of engineering teams, including mentoring where needed Representing the company in public forums Be instrumental in helping to build an Architecture function and work alongside a strong team of Data Scientists, Analysts and Data Engineers. Our preferred candidate: You'll have several years of experience, having gone through the full project lifecycle on numerous occasions; you've seen how design decisions play out in production. You may have worked in traditional data warehousing environments, but you are up to speed with more contemporary data architectures based on open source technologies. Strong written, diagrammatic and spoken communication; ability to present to senior stakeholders Experience with varied types of data: tabular, connected, time series, geospatial, image, etc. Different types of database - relational; document; graph; columnar; key value Large scale data processing platforms, typically based on Hadoop / Spark Business intelligence / analytics products or frameworks Data analysis and data modelling requirements Experience working with cloud platforms and working with relevant PaaS / SaaS offerings. Knowledge of data integration technologies Knowledge of distributed computing & information security Programming experience in languages such as Java or Python is a bonus. While you may not have an exclusively agile background, you strive to work to these principles. Here at Valtech we're big believers that our staff are our most important asset, and as such we want to make sure we look after you. As well as all the usual corporate benefits (hybrid & flexible working, pension, life insurance, 25 days holiday, phone, laptop, private healthcare & dental etc), we pride ourselves on our commitment to continuous learning and development, which means you'll have a clear growth and development path, alongside access to professional coaching and online learning courses. You'll be joining an inclusive and diverse workforce, working on truly exciting projects with collaborative teams at a local and global level, with a big focus on health and social well being (Cycle to Work Scheme, Employee Assistance Programme, eye tests, Flu Jab, regular Company Days etc). Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we're intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we're creating a more equitable Valtech for all.

What you'll be doing Owning Heidi's pricing architecture. Define how we set and adjust margins across resort tiers, seasons, group types and departure windows. Balance competitiveness with profitability across our full holiday portfolio. Building our yield management capability. Develop frameworks and rules that allow us to flex pricing based on demand signals, lead time, availability and competitive positioning. Analyzing performance trends across margin per booking, conversion rate, revenue and gross profit to identify where pricing is leaving money on the table or costing us bookings. Translate that analysis into clear recommendations and action. Designing and running pricing experiments. Work with Product and Tech to set up controlled tests to measure the impact of price changes on conversion, margin and revenue before rolling them out broadly. Competitive pricing intelligence. Monitor how our pricing compares to key competitors across resorts and travel periods, and use that insight to inform our positioning and anticipate and make proactive changes. Defining our promotional strategy. Own the promotional calendar, working with Marketing and Supply to plan, price and execute promotional events across off-peak, peak and key trading moments like Black Friday and January peaks. Working with the Supply team to understand supplier cost structures, override opportunities and contracted terms. Translate those into pricing decisions that maximise margin without undermining competitiveness. Providing clear, regular performance updates to the CMO and Finance Director, connecting short-term trading dynamics to longer-term margin and profitability goals. What we're looking for from you Experience in revenue management, pricing or commercial analytics; ideally within travel, OTA, hospitality or a similarly dynamic business. First hire in this area - passion for owning and building. Able to design pricing frameworks, set strategy and get early wins live while setting us up for the long term. Highly numerate with strong commercial and financial acumen. Understand P&L mechanics, unit economics and how pricing decisions flow through to gross profit and EBITDA. Self-sufficient with data. Comfortable extracting, modelling and presenting your own analysis. No dedicated analyst - you'll be hands on with the data every day. Strong attention to detail. Skilled at diagnosing what actually drives a number, not just reporting it. Experimentation first mindset. Default to testing hypotheses with data rather than making changes based on gut feel. Clear, opinionated communication. Present recommendations to senior stakeholders with evidence and handle challenge. Desirable: proficiency with SQL (BigQuery), Google Sheets and data visualisation tools such as Looker Studio. Experience with statistical methods for experiment design and price elasticity modelling is a strong plus. Familiarity with AI assisted analytical workflows is valued. Benefits 25 days annual leave + bank holidays + 4 wellbeing days. Hybrid working policy - balance office and home; own your time. £1,000 Heidi holiday credit + additional holiday discounts. Vitality health insurance. Enhanced parental leave for primary /secondary carers and adoptive parents. Company social calendar - summer party, end of season conference and budget for team celebrations. £300 work from home budget. You'll be reporting to Sam Knott, our CMO. Our Commitment to inclusive hiring We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to age, ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability status.

Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot's guiding principle is that when people love what they do, what they do will be loved by others. We're building a company we're proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we're just getting started. Group role reporting to the IT team The role will focus on AI/ML infrastructure for various group use cases from proprietary models training to efficient 3rd party tool running environments etc. This role will be working with all Group central teams (Marketing, Finance, HR, AI, IT). Role Overview You will build and maintain the high-performance infrastructure required to train and deploy AI models that impact millions of players in real-time, as well as improve productivity of everyone at Tripledot. You will serve as a bridge between the technical solutions that are created by our teams and our live game engines, as well as creating and maintaining infrastructure for internal IT needs. Within the group AI functions you'll be working with other AI / ML engineers, data engineers, analysts and product owners. Within the various studios and other central teams, you will interact with data, engineering, and product teams. Within group IT, you'll partner with Engineering, TechOps, and Security to deliver the infrastructure and tooling that powers our central business functions: gaming, finance, marketing, legal, people ops, and beyond. The first initiative you'll be taking part of is the expansion of a data/ML Platform to support ML engineers and data scientists to easily deploy their solutions, and enabling delivery of key projects like LTV and Ads Optimization. Key Responsibilities Improve and maintain a scalable, speedy and reliable data and ML platform to support AI/ML initiatives within group AI, ensuring models move seamlessly from research to production. Support group IT to provide reliable access to open source AI models and ensure safe reliable access to AI productivity tools. Create and maintain proper monitoring and alerting tools to ensure our systems can provide the correct SLA and SLOs defined by the stakeholders. Implement and advocate for engineering best practices, including CI/CD, infrastructure as code like Terraform, usage of version control, testing, observability, while keeping costs in mind. Ensure standardized cross-studio access & security to enable timely data access and ingestion (AWS and Google Cloud). Enable the teams with different environments for testing new setups, tools, without disrupting the day-to-day operations of the team and production workflows. Track usage for all our deployed applications, and identify areas of improvement, making the best use of resources. Keep up with the relevant technologies, best practices, especially related to AI productivity tools, continuously emerging in the industry. What we are looking for 5+ years in the industry as a DevOps, SRE Engineer or or Platform Engineer, ideally in gaming, mobile apps, or other high-scale digital products. Strong hands on experience with Kubernetes in production - not just running workloads on it, but operating it. Cost aware infrastructure decision making. Solid Terraform (or OpenTofu) experience, with a track record of keeping IaC sustainable as it grows. Proven experience in delivering data and AI/ML solutions in production for both AWS and a working knowledge of GCP or willingness to come to speed quickly. Bonus if this experience is within the gaming industry. Comfortable owning CI/CD pipelines with common tools (GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar). Hands on experience with cloud and Kubernetes security fundamentals, IAM/RBAC, secrets management (ex. Vault, AWS Secrets Manager, External Secrets), network policies, and integrating security checks into CI/CD pipelines. Strong instincts for observability, monitoring, and alerting, you've built dashboards and alerts that teams actually rely on, and you know the difference between a useful page and noise. Hands on with tools like Prometheus, Grafana, Datadog, CloudWatch, or similar. Solid incident response experience. The current data and AI/ML stack uses open source tools like Airflow, Trino, Spark, and Kubeflow. Familiarity with deploying these tools, as well as tweaking them for improved performance, is a bonus. Understanding of ML Ops best practices and common architectures is also a bonus. Hands on knowledge of Python and/or other scripting languages. Experience creating infrastructure for both traditional and modern agentic data intensive systems is a bonus. Focus on innovation, coupled with a mindset of continuous learning and curiosity to explore emerging AI technologies. The successful candidate will have an agile, hands on approach to prototyping and validation, and ability to Get Stuff Done in a fast paced environment. Excellent communication and collaboration skills necessary for working effectively with both technical and non technical teams. Understanding how to drive results with key business stakeholders. You will be part of a fun mobile gaming company aiming to embrace the future of AI driven creativity and exploring where the industry is moving. You will be instrumental in shaping the backbone of the AI/ML and IT systems that will power solutions that will spread throughout the whole group. You will operate in an environment that values an experimental mindset, focusing on learning opportunities and pioneering generative game creation. Working at Tripledot (in London) 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year. Hybrid Working: We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 20 days fully remote working: Work from anywhere in the world, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands. Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones. Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses. Dental Cover: Flash your best smile with our dental cover. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program subject to policy Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute. Pension Plan: Secure your future with our contributory pension plan.

Lendable Ltd is looking for a Senior Marketing Scientist in London to lead marketing and growth analytics for their multi-product app. The role requires expertise in data analytics and funnel optimisation, ensuring that insights drive acquisition efficiency and product innovation. In this position, you will work closely with Product and Credit Managers, execute analyses to optimise marketing spending, and design impactful experiments. Candidates should have 3+ years of relevant experience and strong SQL skills.

# Senior Marketing Scientist London Full Time (Permanent) Hybrid Growth (Analytical)Apply for this role About the roleWe are looking for an experienced Senior Marketing Scientist to run marketing and growth analytics in our rapidly evolving multi-product app. As Lendable scales its products across lending, engagement features and other financial services, the complexity and volume of data-driven decisions have grown exponentially. This role is central to unlocking insights that will shape our drive acquisition efficiency and fuel product innovation, overseeing the full breadth of digital and non-digital channels across multiple products.You will be the senior analytical voice across our Zable direct marketing initiatives - owning end-to-end marketing funnel data, capture requirements, insight generation, experimentation strategy, and advanced analytics projects. Beyond individual contribution, you will instill best practices and be a key thought partner to product, growth, and engineering leaders. What You'll Do Impact & Analytical Leadership Analyse marketing campaign performance across multiple channels and conduct analyses to identify trends and opportunities for optimisation Structure and execute high-impact analyses in acquisition funnels to inform marketing spend and product evolution Drive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studies Co-operate with product and credit teams to ensure mid to deep funnel performance is improved. Data Product Involvement Influence data architecture by contributing to schema design that enable more insights Build high quality, scalable pipelines and transformations that increase interpretability of data and increase the teams' agility Cross-Functional Partnership Serve as a thought partner to Product Managers and Credit Managers - ensuring analytical insight drives roadmap prioritisation and credit assessments. Collaborate with the creative and design team to deepen insights at the creative and campaign level to enhance prioritisation of their ideas. What We're Looking For Core Qualifications 3+ years of experience in data analytics, ideally within a product-led or high-growth tech environment Deep expertise in analytical methods including funnel optimisation, segmentation, cohort analysis, LTV modelling, and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python, R). Hands-on experience with DBT and familiarity with data modelling best practices Skilled in experimentation frameworks (A/B testing, hypothesis testing, causal inference). Demonstrated ability to turn ambiguous problems into structured, hypothesis-driven, data-supported insights. Excellent communication skills with experience influencing cross-functional stakeholders and product leaders. Nice to Have Experience in credit marketing (credit cards, loans, car finance etc.) Experience with paid media platforms (Google Ads, Meta, Tiktok etc.) and working with marketing teams Experience building or contributing to Marketing Mix Models or incrementality testing frameworks. Familiarity with data instrumentation and schema design in product development cyclesInterview process: Screening call Take home task and cognitive tests Case study Final InterviewApply for this role About LendableLendable is on a mission to build the world's best technology to help people get credit and save money . Founded in 2014 Profitable since 2017 Unicorn in 2021 £3.5bn valuation in 2022 Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo far, we've rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do. We're going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes. Life at Lendable The opportunity to scale up one of the world's most successful fintech companies Best-in-class compensation, including equity You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in LondonCheck out our Glassdoor Reviews Apply for this role

Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus on credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. Responsibilities Own multiple ML applications end to end, from experiment design and data curation to deployment and monitoring. Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers and Product Managers to align model development with the product roadmap. Work independently on impactful topics across borrowing products, deciding priorities and delivery. Use and improve data, methodologies and toolings to build better models faster. Influence product and credit strategy beyond model development. Qualifications Excellent SQL and Python skills with a strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience of end to end model development and maintenance of ML models in a consumer facing industry. Great attention to detail while keeping an eye on the big picture. Excellent communication skills to articulate complex problems. Capability to build mutual respect and trust with people of different backgrounds. Nice to have Experience in UK/EU retail lending for personal or business customers. Experience of ML model governance in a regulated industry. Experience with modern AI tools for productivity. Equal opportunity We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Senior Machine Learning Scientist, Borrowing Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers. We're not about selling products - we want to solve problems and change lives through Monzo. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus on credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. Responsibilities Own multiple ML applications end to end, from experiment design and data curation to deployment and monitoring. Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers and Product Managers to align model development with the product roadmap. Work independently on impactful topics across borrowing products, deciding priorities and delivery. Use and improve data, methodologies and toolings to build better models faster. Influence product and credit strategy beyond model development. Qualifications Excellent SQL and Python skills with a strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience of end to end model development and maintenance of ML models in a consumer facing industry. Great attention to detail while keeping an eye on the big picture. Excellent communication skills to articulate complex problems. Capability to build mutual respect and trust with people of different backgrounds. Nice to have Experience in UK/EU retail lending for personal or business customers. Experience of ML model governance in a regulated industry. Experience with modern AI tools for productivity. Equal opportunity We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Job Description As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product's evolution at Checkout. You'll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas. You'll have end-to-end ownership of multiple data products from design to implementation to the operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting Continuously discover, transform, test, deploy and document data sources and data models Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices and peer reviews Take initiative to improve and optimise analytics engineering workflows and platforms Key Requirements Proven delivery experience as a data, business intelligence or analytics engineer Hands-on proven data modelling and data warehousing skills demonstrated in large-scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/or product analytics data Good attention to detail to highlight and address data quality issues

Senior Data Engineer Location: London Business Area: Marketing and Public Relations Ref #: Description & Requirements The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Your responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Tech & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence, and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events- such as summer, winter & bi-weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for a Senior Data Engineer, based in London. This role will report into the VP, Data & Insights Lead. We are looking for someone who brings data engineering discipline as a first instinct: CI/CD, testing, and release management as core practice, applied to data product development. This is a mid-level, hands on role for a technically strong generalist who wants real ownership in a lean, fast moving team. Responsibilities Data product development: design, build, and maintain data pipelines on Snowflake - staging through to mart - and package outputs as versioned products with defined schemas and release notes CI/CD & testing: establish and champion automated test and deployment pipelines; write unit, integration, and data quality tests as a matter of course, not an afterthought Platform operations: administer and optimise our Snowflake environment - compute, query performance, cost management, and access controls Legacy migration: support the move of Alteryx based workflows into maintainable, automated pipelines within the lakehouse Infrastructure as code: contribute to reproducible, auditable environment management using Terraform or equivalent Collaboration: translate requirements from data scientists and analysts into engineering solutions; support analysts on their engineering development pathway Documentation: maintain clear technical documentation so knowledge is transferable and does not reside with any single individual The Candidate The ideal candidate will have a strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Required General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope Snowflake - hands on with data modelling, compute management, SQL optimisation, and access controls Python - fluent for pipeline development, ETL/ELT patterns, and automation; clean, testable code CI/CD - practical experience with GitHub Actions or equivalent; version control as professional discipline Testing - writes tests as a matter of course: pytest, Great Expectations, DBT tests or equivalent Engineering fundamentals - design patterns, modular architecture, release management, and documentation standards Desired DBT - models, tests, macros, and documentation Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data Governance - lineage tracking, quality frameworks, access policy Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.

Senior Data Scientist - Marketing and Growth Cardiff, London or Remote (UK) We're on a mission to make money work for everyone. We're waving goodbye to the complicated and confusing ways of traditional banking. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ We're looking for a Senior Marketing Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our marketing strategy in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Marketing, Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. This role is within our Marketing function within Growth. Join us and be part of shaping our future! What you'll be working on You will work together with other data scientists, analysts and analytics engineers as well as marketing managers on powering our marketing function within Growth. Our key goal is increasing volume and value. Applying your expertise in marketing analytics, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our marketing campaigns and how those insights can inform our marketing strategy Guide and enable the performance marketing and brand team to measure things that matter; initiate or help run geo-lift experiments to keep improving everything we do Build and apply our marketing measurement and forecasting solutions to optimise and drive growth. Drive together with the finance team a unified company-wide understanding of the lifetime value of our new users and how different marketing campaigns are impacting user profitability Liaise with engineers to keep making sure we collect the right marketing measurement data to produce relevant business insights You should apply if: What we're doing here at Monzo excites you! You're passionate about marketing science and understand the causal impact marketing campaigns can have You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well You're commercially minded and can put numbers into business perspective You're as comfortable getting hands on as taking a step back and thinking strategically You have a self starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You're a team player whom your colleagues can rely on You have solid grounding in SQL and preferably Python You have experience in conducting large scale geo-lift or A/B experiments The Interview Process: Our interview process involves three main stages: Initial Call Technical Interview Final Interview including a case study and collaboration interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. What's in it for you: £80,000 to £90,000 + Incentive Awards tied to your performance + Benefits ️ We can help you relocate to the UK We can sponsor visas This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here If you prefer to work part time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work life balance. Equal opportunities for everyone Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2024 Diversity and Inclusion Report and 2024 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage

A leading fintech company is seeking a Senior Data Scientist for Marketing and Growth. This role, based in London or remotely within the UK, involves applying marketing analytics to optimize campaigns and drive business growth. The ideal candidate will have a strong background in marketing science, SQL, and experience with A/B testing. The position offers a competitive salary of £80,000 to £90,000 plus benefits, along with a supportive and inclusive work environment.