We're looking to add an experienced and enthusiastic Senior Data Scientist to our Jet2 Data Science team. Reporting to our Lead Data Scientists, our new Senior Data Scientist will be key to the Jet2 Data Science Team. We offer an excellent remuneration package with fantastic opportunities for progression in a growing business. We're placing Data and Analytics at the heart of the business, and this Senior Data Scientist role is an exciting opportunity to work for an organization with the objective of being truly data insight driven. Benefits Hybrid working (we're in the office 2 days a week) Annual pay reviews Colleague discounts on flights and Jet2Holidays 3 salary life assurance At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll take responsibility for the delivery of key data science initiatives capable of realising significant value, combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. You'll join a large and established team of Data Science professionals based across our UK and India bases, who are using Data Science to understand, automate and optimise key business processes. You'll work across the broad range of our customer journey: from informing our marketing strategy, pricing our products, understanding our customers and their needs before, during and post their experience, and improving our airline and holiday operations. You'll be expected to work with internal teams across the business, to identify, collaborate with, and enthuse stakeholders across the wider group. You'll take responsibility for the delivery of an initiative and adopt our ways of working, being able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist. Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business can realise value from this work. Throughout the projects you'll ensure you have an awareness of and a commitment to adhering to the appropriate regulatory and internal policy requirements. What you'll have: You'll be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of SageMaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience in delivering data science initiatives from concept into production would be highly desirable. You'll be skilled in gathering data from multiple sources, in multiple formats, and cleansing and enriching that data. You'll have an appreciation of the importance of data governance, and of how to assess and enhance the quality of our data. Given the pace of change in new technologies and techniques, you'll show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You'll also be given the opportunity to pass on your expertise to and coach our Data Scientists and be supported to develop the people management skills required for that next step in your career progression. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
24/07/2026
Full time
We're looking to add an experienced and enthusiastic Senior Data Scientist to our Jet2 Data Science team. Reporting to our Lead Data Scientists, our new Senior Data Scientist will be key to the Jet2 Data Science Team. We offer an excellent remuneration package with fantastic opportunities for progression in a growing business. We're placing Data and Analytics at the heart of the business, and this Senior Data Scientist role is an exciting opportunity to work for an organization with the objective of being truly data insight driven. Benefits Hybrid working (we're in the office 2 days a week) Annual pay reviews Colleague discounts on flights and Jet2Holidays 3 salary life assurance At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: You'll take responsibility for the delivery of key data science initiatives capable of realising significant value, combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. You'll join a large and established team of Data Science professionals based across our UK and India bases, who are using Data Science to understand, automate and optimise key business processes. You'll work across the broad range of our customer journey: from informing our marketing strategy, pricing our products, understanding our customers and their needs before, during and post their experience, and improving our airline and holiday operations. You'll be expected to work with internal teams across the business, to identify, collaborate with, and enthuse stakeholders across the wider group. You'll take responsibility for the delivery of an initiative and adopt our ways of working, being able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Working within a pod of Data Scientists under management of a Lead Data Scientist. Execute the application of machine learning and statistical modelling tools suited to the identified initiative. You'll be skilled at storytelling, being able to explain the generated solution to our stakeholders and produce recommendations on how the business can realise value from this work. Throughout the projects you'll ensure you have an awareness of and a commitment to adhering to the appropriate regulatory and internal policy requirements. What you'll have: You'll be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of SageMaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience in delivering data science initiatives from concept into production would be highly desirable. You'll be skilled in gathering data from multiple sources, in multiple formats, and cleansing and enriching that data. You'll have an appreciation of the importance of data governance, and of how to assess and enhance the quality of our data. Given the pace of change in new technologies and techniques, you'll show commitment to keeping your own knowledge up to date through self-learning, and be supported with opportunities to complete relevant courses, attend industry events, and obtain technical certifications. You'll also be given the opportunity to pass on your expertise to and coach our Data Scientists and be supported to develop the people management skills required for that next step in your career progression. Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight!
As our new Lead Data Scientist, you'll play a key role in shaping and delivering Jet2's Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience. Based at Holiday House in Leeds City Centre, this is a hybrid role, giving you the flexibility to work from home and the office. As our Lead Data Scientist, you'll have access to a wide range of benefits including: Access to a generous discretionary Profit Share Scheme Hybrid working (we're in the office 2 days per week) 26 days holiday, plus Bank Holidays Colleague discounts on flights and Jet2holidays packages Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle Access to Mental Health First Aiders Annual pay reviews At and Jet2holidays, we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Reporting to the Data Science Manager, our Lead Data Scientist will be responsible for leading a team of Data Scientists and delivering innovative data science solutions that drive commercial value across the Jet2 business. You'll work closely with stakeholders from across the organisation to identify opportunities where data science can enhance decision making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non technical stakeholders Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle Collaborate with teams across and Jet2holidays to maximise the value delivered through data and analytics Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies What you'll have: The successful candidate will have significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high performing team Strong stakeholder management skills with the ability to influence and engage colleagues at all levels Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery An appreciation of data governance principles and data quality management The ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight.
22/07/2026
Full time
As our new Lead Data Scientist, you'll play a key role in shaping and delivering Jet2's Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience. Based at Holiday House in Leeds City Centre, this is a hybrid role, giving you the flexibility to work from home and the office. As our Lead Data Scientist, you'll have access to a wide range of benefits including: Access to a generous discretionary Profit Share Scheme Hybrid working (we're in the office 2 days per week) 26 days holiday, plus Bank Holidays Colleague discounts on flights and Jet2holidays packages Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle Access to Mental Health First Aiders Annual pay reviews At and Jet2holidays, we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Reporting to the Data Science Manager, our Lead Data Scientist will be responsible for leading a team of Data Scientists and delivering innovative data science solutions that drive commercial value across the Jet2 business. You'll work closely with stakeholders from across the organisation to identify opportunities where data science can enhance decision making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non technical stakeholders Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle Collaborate with teams across and Jet2holidays to maximise the value delivered through data and analytics Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies What you'll have: The successful candidate will have significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high performing team Strong stakeholder management skills with the ability to influence and engage colleagues at all levels Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery An appreciation of data governance principles and data quality management The ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits. Apply today and let your career take flight.
As our new Lead Data Scientist, you'll play a key role in shaping and delivering Jet2's Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience. Based at Holiday House in Leeds City Centre, this is a hybrid role, giving you the flexibility to work from home and the office. As our Lead Data Scientist, you'll have access to a wide range of benefits including: Access to a generous discretionary Profit Share Scheme Hybrid working (we're in the office 2 days per week) 26 days holiday, plus Bank Holidays Colleague discounts on flights and Jet2holidays packages Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle Access to Mental Health First Aiders Annual pay reviews At and Jet2holidays, we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Reporting to the Data Science Manager, our Lead Data Scientist will be responsible for leading a team of Data Scientists and delivering innovative data science solutions that drive commercial value across the Jet2 business. You'll work closely with stakeholders from across the organisation to identify opportunities where data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle Collaborate with teams across and Jet2holidays to maximise the value delivered through data and analytics Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies What you'll have: The successful candidate will have significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also have: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high-performing team Strong stakeholder management skills with the ability to influence and engage colleagues at all levels Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery An appreciation of data governance principles and data quality management The ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits.
22/07/2026
Full time
As our new Lead Data Scientist, you'll play a key role in shaping and delivering Jet2's Data Science strategy, helping us unlock the value of our data to drive business performance, innovation and customer experience. Based at Holiday House in Leeds City Centre, this is a hybrid role, giving you the flexibility to work from home and the office. As our Lead Data Scientist, you'll have access to a wide range of benefits including: Access to a generous discretionary Profit Share Scheme Hybrid working (we're in the office 2 days per week) 26 days holiday, plus Bank Holidays Colleague discounts on flights and Jet2holidays packages Many retail discounts on travel and leisure, health and wellbeing, eating out, shopping and lifestyle Access to Mental Health First Aiders Annual pay reviews At and Jet2holidays, we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. What you'll be doing: Reporting to the Data Science Manager, our Lead Data Scientist will be responsible for leading a team of Data Scientists and delivering innovative data science solutions that drive commercial value across the Jet2 business. You'll work closely with stakeholders from across the organisation to identify opportunities where data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data Scientists, supporting their technical and professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify opportunities to improve data quality, governance and the efficient use of data across its lifecycle Collaborate with teams across and Jet2holidays to maximise the value delivered through data and analytics Help shape the future direction of Data Science within Jet2 by keeping abreast of emerging technologies, tools and methodologies What you'll have: The successful candidate will have significant experience delivering data science projects within a commercial environment and a proven track record of creating value through machine learning and advanced analytics. You'll also have: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high-performing team Strong stakeholder management skills with the ability to influence and engage colleagues at all levels Experience working within Agile delivery frameworks and contributing to sprint planning and project delivery An appreciation of data governance principles and data quality management The ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake, would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies and practices Join us as we redefine travel experiences and create memories for millions of passengers. At and Jet2holidays, your potential has no limits.
Senior Android Software Engineer - London London About Proton Join Proton and build a better internet where privacy is the default Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we've built the world's largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar-tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives! We are profitable, independent (no VC control), and selectively hire from the top 1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here! The Role Based in our London office, you'll join one of several high-impact product teams across Proton Drive, Payments and Account, helping build privacy-first products used by millions around the world. Whether it's encrypted cloud storage, secure account infrastructure, or the future of private financial tools, you'll work on technically ambitious products with real-world impact. As a senior engineer, you'll collaborate closely with product, design, and engineers across Proton to build and ship high-quality Android experiences using Kotlin, Jetpack Compose, and an increasingly shared Rust core. You'll take end-to-end ownership of your work and help define what "great" looks like for privacy-focused consumer products at scale. What we are looking for You have extensive experience building and shipping high-quality Android applications using Kotlin You have strong experience with Jetpack Compose and modern Android development practices You care deeply about product quality, usability, and delivering exceptional user experiences You have experience taking end-to-end ownership of features, from scoping and technical design through to delivery and iteration You have strong experience building maintainable, scalable, and testable mobile architectures You are comfortable working across large codebases and collaborating across multiple teams You have experience mentoring engineers and raising the technical bar within a team You have a strong understanding of performance, concurrency, multithreading, and mobile memory management You understand mobile scalability considerations, including caching, network usage, responsiveness, and offline behaviour You are comfortable navigating ambiguity and contributing to product and technical discussions Experience with privacy, security, encryption, sync systems, or offline-first architectures is a strong plus Rust experience is a plus, but not required, as we continue moving towards a platform-independent Rust logical core that communicates with our Android applications through generic interfaces Even if you don't meet all the requirements listed above but feel you could still be a great fit, please do apply. What We Offer Work that Matters: millions of people trust Proton with their privacy. We answer only to our users - not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win. Technology: you'll get the right hardware and the right software you need to do your best work. Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one. Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day. In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building. Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch. Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you. Flexible Working: you own your schedule. Set hours that work for you and your team - because outcomes matter more than when the clock says you started. Our commitment to diversity and inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability or socio-economic background feel valued and empowered. We strive to create equal opportunities, promote open dialogue and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate privacy notice When you apply for a position, refer a candidate or are considered for a role at Proton Technologies AG (Proton, we, us or our), your information is stored in Greenhouse, in accordance with its Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information or if you wish to access, correct or delete your data, please contact our privacy team at . Proton does not accept unsolicited CVs from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.
22/07/2026
Full time
Senior Android Software Engineer - London London About Proton Join Proton and build a better internet where privacy is the default Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we've built the world's largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar-tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives! We are profitable, independent (no VC control), and selectively hire from the top 1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here! The Role Based in our London office, you'll join one of several high-impact product teams across Proton Drive, Payments and Account, helping build privacy-first products used by millions around the world. Whether it's encrypted cloud storage, secure account infrastructure, or the future of private financial tools, you'll work on technically ambitious products with real-world impact. As a senior engineer, you'll collaborate closely with product, design, and engineers across Proton to build and ship high-quality Android experiences using Kotlin, Jetpack Compose, and an increasingly shared Rust core. You'll take end-to-end ownership of your work and help define what "great" looks like for privacy-focused consumer products at scale. What we are looking for You have extensive experience building and shipping high-quality Android applications using Kotlin You have strong experience with Jetpack Compose and modern Android development practices You care deeply about product quality, usability, and delivering exceptional user experiences You have experience taking end-to-end ownership of features, from scoping and technical design through to delivery and iteration You have strong experience building maintainable, scalable, and testable mobile architectures You are comfortable working across large codebases and collaborating across multiple teams You have experience mentoring engineers and raising the technical bar within a team You have a strong understanding of performance, concurrency, multithreading, and mobile memory management You understand mobile scalability considerations, including caching, network usage, responsiveness, and offline behaviour You are comfortable navigating ambiguity and contributing to product and technical discussions Experience with privacy, security, encryption, sync systems, or offline-first architectures is a strong plus Rust experience is a plus, but not required, as we continue moving towards a platform-independent Rust logical core that communicates with our Android applications through generic interfaces Even if you don't meet all the requirements listed above but feel you could still be a great fit, please do apply. What We Offer Work that Matters: millions of people trust Proton with their privacy. We answer only to our users - not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win. Technology: you'll get the right hardware and the right software you need to do your best work. Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one. Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day. In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building. Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch. Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you. Flexible Working: you own your schedule. Set hours that work for you and your team - because outcomes matter more than when the clock says you started. Our commitment to diversity and inclusion At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability or socio-economic background feel valued and empowered. We strive to create equal opportunities, promote open dialogue and support continuous learning to ensure every voice is heard and respected. If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know. Candidate privacy notice When you apply for a position, refer a candidate or are considered for a role at Proton Technologies AG (Proton, we, us or our), your information is stored in Greenhouse, in accordance with its Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills. If we no longer have a legitimate business need to process your information, we will either delete or anonymise it. Should you have any inquiries about how we use or manage your information or if you wish to access, correct or delete your data, please contact our privacy team at . Proton does not accept unsolicited CVs from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with two prestigious recognitions this year: on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honours like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU We are hiring a Workplace Technology/SaaS Engineer to own our Atlassian environment and run the SaaS and identity platforms our employees depend on every day. Jira Service Management sits at the centre of this role. You will design, build, and maintain the service desks, workflows, and automation that route work across the company, and you will manage the identity layer in Entra ID that controls who gets access to what. This is a hands on engineering role. You will spend your time configuring platforms, writing automation, implementing AI, and improving how systems connect to each other. You report into the Workplace Technology team and work closely with IT, Infrastructure and Security, and the business teams who rely on these tools. If you like building systems that quietly work and freeing people from repetitive tasks and tickets, you will fit here. WHAT YOU'LL DO Administer the full Atlassian suite with a primary focus on Jira Service Management: build and maintain service desks, request types, queues, SLAs, automation rules, and approval workflows. Design JSM workflows that match how teams actually work, and reduce manual steps through automation rather than adding processes. Own Entra ID administration: manage users, groups, conditional access policies, app registrations, and role assignments. Administer the company SaaS stack, including Slack, Google Workspace, Microsoft 365, Jamf, Zoom, and Lumos. Build automations that connect systems using tools like N8N and AI such as Claude, so routine requests resolve without a human touching them. Manage joiner, mover and leaver processes end to end, making sure provisioning and deprovisioning happen on time and access stays clean. Partner with Security on access reviews, least privilege enforcement, and audit readiness. Write and maintain documentation for the systems you own so the team can support them. Track and resolve platform issues, and improve reliability over time. WHO YOU ARE AND WHAT YOU HAVE 5+ years administering the Atlassian suite, with deep hands on experience in Jira Service Management (service desk setup, complex workflows, SLAs, and automation). Strong Entra ID administration experience: conditional access, groups, app registrations, and identity governance. Strong knowledge of SCIM provisioning and how identity flows into SaaS applications. Experience administering several of the following: Slack, Google Workspace, Microsoft 365, Jamf, Zoom, Lumos. Comfort building automation. Experience with N8N, scripting, or AI tools such as Claude is a strong plus. Strong documentation skills Support for both macOS and Windows environments. Familiarity with ITIL practices and Agile project management. A bias toward automating repetitive work instead of doing it by hand. NICE TO HAVE Atlassian certifications (ACP) or Microsoft identity certifications (SC 300). Experience scaling SaaS operations at a growing company. History of replacing manual access processes with automated provisioning. ADDITIONAL INFORMATION Hybrid 3 days/week in NYC Office SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in moulding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, colour, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is 130k-150k. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
21/07/2026
Full time
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with two prestigious recognitions this year: on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honours like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU We are hiring a Workplace Technology/SaaS Engineer to own our Atlassian environment and run the SaaS and identity platforms our employees depend on every day. Jira Service Management sits at the centre of this role. You will design, build, and maintain the service desks, workflows, and automation that route work across the company, and you will manage the identity layer in Entra ID that controls who gets access to what. This is a hands on engineering role. You will spend your time configuring platforms, writing automation, implementing AI, and improving how systems connect to each other. You report into the Workplace Technology team and work closely with IT, Infrastructure and Security, and the business teams who rely on these tools. If you like building systems that quietly work and freeing people from repetitive tasks and tickets, you will fit here. WHAT YOU'LL DO Administer the full Atlassian suite with a primary focus on Jira Service Management: build and maintain service desks, request types, queues, SLAs, automation rules, and approval workflows. Design JSM workflows that match how teams actually work, and reduce manual steps through automation rather than adding processes. Own Entra ID administration: manage users, groups, conditional access policies, app registrations, and role assignments. Administer the company SaaS stack, including Slack, Google Workspace, Microsoft 365, Jamf, Zoom, and Lumos. Build automations that connect systems using tools like N8N and AI such as Claude, so routine requests resolve without a human touching them. Manage joiner, mover and leaver processes end to end, making sure provisioning and deprovisioning happen on time and access stays clean. Partner with Security on access reviews, least privilege enforcement, and audit readiness. Write and maintain documentation for the systems you own so the team can support them. Track and resolve platform issues, and improve reliability over time. WHO YOU ARE AND WHAT YOU HAVE 5+ years administering the Atlassian suite, with deep hands on experience in Jira Service Management (service desk setup, complex workflows, SLAs, and automation). Strong Entra ID administration experience: conditional access, groups, app registrations, and identity governance. Strong knowledge of SCIM provisioning and how identity flows into SaaS applications. Experience administering several of the following: Slack, Google Workspace, Microsoft 365, Jamf, Zoom, Lumos. Comfort building automation. Experience with N8N, scripting, or AI tools such as Claude is a strong plus. Strong documentation skills Support for both macOS and Windows environments. Familiarity with ITIL practices and Agile project management. A bias toward automating repetitive work instead of doing it by hand. NICE TO HAVE Atlassian certifications (ACP) or Microsoft identity certifications (SC 300). Experience scaling SaaS operations at a growing company. History of replacing manual access processes with automated provisioning. ADDITIONAL INFORMATION Hybrid 3 days/week in NYC Office SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in moulding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, colour, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is 130k-150k. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
We're Capital on Tap. Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. 1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We've done a pretty good job so far, but we're just getting started! This is a Hybrid role, working from our London (Moorgate) Offices 3 days per week. Growth Team at Capital on Tap You'll join the Growth Team, reporting to our Head of Growth. The team's mission is to increase customer acquisition, activation and retention across our book of customers. What You'll Be Doing Developing and maintaining predictive models that influence our strategy across the entire customer lifecycle; acquisition, activation and retention. Understanding the commercial levers within the growth team and how predictive models help to improve them. Evaluating complex datasets to find hidden opportunities and help us make smarter decisions. Turning complex analysis into simple, compelling stories that get everyone on the same page. Collaborating with a wide range of stakeholders to ensure seamless implementation of your solutions. Exploring and advising on the latest tools and techniques in data science to help us stay ahead of the curve. We're Looking For Strong analytical and quantitative skills with the ability to translate findings into clear recommendations. 2+ years experience building statistical models in Python and extracting/manipulating data in SQL. 2:1 or higher in a quantitative degree from a top university. Someone who takes ownership of their work, manages their time independently, and uses good judgement to decide what matters. Comfortable working autonomously in a fast-moving environment. Preferred 2-4 years experience in top-tier consulting or a high-growth startup. 1st-class degree in a quantitative field from a top university. Understanding of and interest in how to apply a commercial lens to Data Science problems. Nice to Have Familiarity with DBT, Snowflake, Looker, Hex, Azure DevOps. Background in Marketing, Credit, or Financial Services. Diversity & Inclusion We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. If you need any adjustments to the application or interview process, please just let us know. Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits: Private Healthcare including dental and opticians services through Vitality Worldwide travel insurance through Vitality Access to a reproductive and hormonal health platform via Hertility Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical) Salary Sacrifice Pension Scheme up to 7% match Octopus EV Salary Sacrifice Scheme 28 days holiday (plus bank holidays) Annual Learning and Wellbeing Budget Enhanced Parental Leave Cycle to Work Scheme Season Ticket Loan 6 free therapy sessions per year Dog Friendly Offices Free drinks and snacks in our offices Check out more of our benefits, values and mission here.
20/07/2026
Full time
We're Capital on Tap. Capital on Tap started because small businesses were underserved. Big banks were slow, their products weren't fit for purpose, and small business owners often couldn't access what they needed. We set out to fix that. Today we're a financial platform - not just a credit card company. We offer a best-in-class business credit card, SME-focused spend management platform, a savings product that hit £1 billion in funds within its first year, and a growing suite of tools and financial products that make running a small business easier. 1,000+ employees, £20bn in annual card spend, 200,000+ customers, 17,000+ Trustpilot reviews averaging 4.7 stars, and we're profitable. We've done a pretty good job so far, but we're just getting started! This is a Hybrid role, working from our London (Moorgate) Offices 3 days per week. Growth Team at Capital on Tap You'll join the Growth Team, reporting to our Head of Growth. The team's mission is to increase customer acquisition, activation and retention across our book of customers. What You'll Be Doing Developing and maintaining predictive models that influence our strategy across the entire customer lifecycle; acquisition, activation and retention. Understanding the commercial levers within the growth team and how predictive models help to improve them. Evaluating complex datasets to find hidden opportunities and help us make smarter decisions. Turning complex analysis into simple, compelling stories that get everyone on the same page. Collaborating with a wide range of stakeholders to ensure seamless implementation of your solutions. Exploring and advising on the latest tools and techniques in data science to help us stay ahead of the curve. We're Looking For Strong analytical and quantitative skills with the ability to translate findings into clear recommendations. 2+ years experience building statistical models in Python and extracting/manipulating data in SQL. 2:1 or higher in a quantitative degree from a top university. Someone who takes ownership of their work, manages their time independently, and uses good judgement to decide what matters. Comfortable working autonomously in a fast-moving environment. Preferred 2-4 years experience in top-tier consulting or a high-growth startup. 1st-class degree in a quantitative field from a top university. Understanding of and interest in how to apply a commercial lens to Data Science problems. Nice to Have Familiarity with DBT, Snowflake, Looker, Hex, Azure DevOps. Background in Marketing, Credit, or Financial Services. Diversity & Inclusion We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. If you need any adjustments to the application or interview process, please just let us know. Great Work Deserves Great Perks We try not to take ourselves too seriously (all the time) so we make sure our office is decked out with a pool table, arcade machine, beer tap, and a couple of office dogs thrown in for good measure. Check out our benefits: Private Healthcare including dental and opticians services through Vitality Worldwide travel insurance through Vitality Access to a reproductive and hormonal health platform via Hertility Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical) Salary Sacrifice Pension Scheme up to 7% match Octopus EV Salary Sacrifice Scheme 28 days holiday (plus bank holidays) Annual Learning and Wellbeing Budget Enhanced Parental Leave Cycle to Work Scheme Season Ticket Loan 6 free therapy sessions per year Dog Friendly Offices Free drinks and snacks in our offices Check out more of our benefits, values and mission here.
EMEIA Sales Finance - Analytics Engineer London, England, United Kingdom Corporate Functions Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn't have imagined - and now can't imagine living without. If you're motivated by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! You will become a member of the Sales Finance team at Apple. With approximately 150 employees based across 4 regional hubs within EMEIA (Europe, Middle East, India and Africa), we create value, collaborating with many teams to provide outstanding commercial and financial support. We set the bar high; go out of our way to help others; share knowledge; filter out noise to focus on the essential; encourage the very best from ourselves and the team; and drive the right course of action. To do all of this you will be an excellent communicator, collaborator and innovator, with a passion for debate and inclusion. Description This role resides within the Process, Analytics, Reporting and Technology (PART) Enablement Team. We empower Apple's EMEIA Sales Finance teams to operate more efficiently and make data driven decisions by building and deploying innovative, user friendly data applications. You will directly improve the day to day workflows of financial analysts, helping them unlock insights and drive business impact. This is a hands on role where you'll see your work used by key stakeholders across the organisation. We are looking for a strong Data Engineer with a passion for building intuitive web applications that solve real world business problems. This role is at the intersection of data engineering, software development, and financial process optimisation. You will be responsible for designing, building, and deploying lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision making. You will also build data pipelines to support business needs. Success in this role requires an individual who can quickly understand complex financial processes, translate those processes into technical specifications, and deliver high quality, user friendly data applications. You'll be a key collaborator with financial analysts, data scientists, and other engineers, building trust through clear communication and impactful solutions. Ideal candidates also have a strong understanding of UI/UX principles for designing intuitive, self service data applications that drive user adoption across business teams with varying levels of technical expertise. Responsibilities Collaborate with financial analysts to deeply understand their current workflows, pain points, and analytical needs. Design, develop, and deploy lightweight web applications (using Python frameworks like Streamlit) to automate tasks, visualise data, and improve the efficiency of financial processes. Write clean, well documented, and maintainable Python code. Connect applications to various data sources (databases, APIs, data lakes) within Apple's data ecosystem. Implement robust error handling, logging, and monitoring for applications. Manage the full application lifecycle, from development and testing to deployment and maintenance. Gather user feedback and iterate on applications to continuously improve their usability and functionality. Work with data scientists to integrate analytical models and algorithms into data applications. Contribute to the development of best practices for data application development and deployment within the team. Build data pipelines to support business needs and financial analyst reporting and insights. Automate current workstreams with efficiencies and maintenance built into the process. Document applications, data flows, and technical specifications. Minimum Qualifications 5+ years of experience in data engineering or software development with a focus on building data applications. Strong proficiency in Python programming and experience with web frameworks (required: Streamlit, preferred: Flask, Django). Experience working with relational databases (e.g., SQL Server, PostgreSQL) and data lakes. Familiarity with data visualisation techniques and tools (e.g., Matplotlib, Seaborn, Plotly). Experience with version control systems (e.g., Git). Experience in modern data warehouses (e.g., Snowflake and Dremio) and ETL processes using modern orchestration tools (e.g. Airflow, Metaflow). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Experience working with large scale, complex financial or commercial datasets. Experience implementing data quality frameworks, monitoring solutions, and governance controls. Exposure to Dataiku or similar data science platforms. Experience working closely with analytics, BI, or data science teams to support downstream use cases. Strong problem solving skills and attention to detail. Excellent communication and collaboration skills. Ability to communicate complex technical concepts clearly to non technical stakeholders. Detail oriented and self motivated individual able to function effectively when working independently or in a team. Bachelor's degree in Computer Science, Data Science, or a related field required. Preferred Qualifications Familiarity with UI/UX best practices, user centred design, and data visualisation principles. Financial systems and/or Sales Finance domain experience is a plus. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace
18/07/2026
Full time
EMEIA Sales Finance - Analytics Engineer London, England, United Kingdom Corporate Functions Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn't have imagined - and now can't imagine living without. If you're motivated by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! You will become a member of the Sales Finance team at Apple. With approximately 150 employees based across 4 regional hubs within EMEIA (Europe, Middle East, India and Africa), we create value, collaborating with many teams to provide outstanding commercial and financial support. We set the bar high; go out of our way to help others; share knowledge; filter out noise to focus on the essential; encourage the very best from ourselves and the team; and drive the right course of action. To do all of this you will be an excellent communicator, collaborator and innovator, with a passion for debate and inclusion. Description This role resides within the Process, Analytics, Reporting and Technology (PART) Enablement Team. We empower Apple's EMEIA Sales Finance teams to operate more efficiently and make data driven decisions by building and deploying innovative, user friendly data applications. You will directly improve the day to day workflows of financial analysts, helping them unlock insights and drive business impact. This is a hands on role where you'll see your work used by key stakeholders across the organisation. We are looking for a strong Data Engineer with a passion for building intuitive web applications that solve real world business problems. This role is at the intersection of data engineering, software development, and financial process optimisation. You will be responsible for designing, building, and deploying lightweight web interfaces and data tools - primarily using Python frameworks like Streamlit - to streamline financial analysis, reporting, and decision making. You will also build data pipelines to support business needs. Success in this role requires an individual who can quickly understand complex financial processes, translate those processes into technical specifications, and deliver high quality, user friendly data applications. You'll be a key collaborator with financial analysts, data scientists, and other engineers, building trust through clear communication and impactful solutions. Ideal candidates also have a strong understanding of UI/UX principles for designing intuitive, self service data applications that drive user adoption across business teams with varying levels of technical expertise. Responsibilities Collaborate with financial analysts to deeply understand their current workflows, pain points, and analytical needs. Design, develop, and deploy lightweight web applications (using Python frameworks like Streamlit) to automate tasks, visualise data, and improve the efficiency of financial processes. Write clean, well documented, and maintainable Python code. Connect applications to various data sources (databases, APIs, data lakes) within Apple's data ecosystem. Implement robust error handling, logging, and monitoring for applications. Manage the full application lifecycle, from development and testing to deployment and maintenance. Gather user feedback and iterate on applications to continuously improve their usability and functionality. Work with data scientists to integrate analytical models and algorithms into data applications. Contribute to the development of best practices for data application development and deployment within the team. Build data pipelines to support business needs and financial analyst reporting and insights. Automate current workstreams with efficiencies and maintenance built into the process. Document applications, data flows, and technical specifications. Minimum Qualifications 5+ years of experience in data engineering or software development with a focus on building data applications. Strong proficiency in Python programming and experience with web frameworks (required: Streamlit, preferred: Flask, Django). Experience working with relational databases (e.g., SQL Server, PostgreSQL) and data lakes. Familiarity with data visualisation techniques and tools (e.g., Matplotlib, Seaborn, Plotly). Experience with version control systems (e.g., Git). Experience in modern data warehouses (e.g., Snowflake and Dremio) and ETL processes using modern orchestration tools (e.g. Airflow, Metaflow). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Experience working with large scale, complex financial or commercial datasets. Experience implementing data quality frameworks, monitoring solutions, and governance controls. Exposure to Dataiku or similar data science platforms. Experience working closely with analytics, BI, or data science teams to support downstream use cases. Strong problem solving skills and attention to detail. Excellent communication and collaboration skills. Ability to communicate complex technical concepts clearly to non technical stakeholders. Detail oriented and self motivated individual able to function effectively when working independently or in a team. Bachelor's degree in Computer Science, Data Science, or a related field required. Preferred Qualifications Familiarity with UI/UX best practices, user centred design, and data visualisation principles. Financial systems and/or Sales Finance domain experience is a plus. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace
Workplace Data Scientist Location: London Business Area: Workplace Operations and Supply Chain Ref #: Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the role As an integral member of the team, you will go beyond the collection and synthesis of data, you'll help us to determine where potential opportunities exist; the information required to effectively analyse our processes; and how to use findings to improve our operations and strengthen our business strategy. We are looking for a Workplace Data Scientist that possesses an outstanding combination of business insight and technical skills, as well as strong communication and social skills. You will partner with our Support functional teams to understand their needs, and collaborate with engineers to design and implement technology solutions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. Your projects will involve building complex data models, create data visualizations, conduct robust statistical analysis, and build predictive data science models to help the business make smarter decisions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. You'll be encouraged to work independently, understand the business problem and to handle your own priorities, while collaborating with other team members and colleagues across various businesses. You have a vision, you design, you simplify, you visualize, and you effectively communicate the business impact of your work. In this role you will lead strategic planning, while driving alignment and performance across the organization. You have the responsibility to ensure the projects, systems and processes you own are supported and drive business impact. We'll trust you to: Work closely with partners and their teams to understand their business needs and design solutions Partner with stakeholders to design insightful analytics and key performance indicators that will promote efficiency/operational excellence Think beyond specific tasks, understand the ultimate goal, and ask the right questions to drive value for the business Find innovative ways to build business impact Effectively communicate project progress and success to partners in compelling, creative, and accessible ways Build intuitive data models and dashboards using Python, SQL, and data visualization software (i.e., Qliksense, Tableau, PowerBI) Perform robust analysis of large data sets using the Python data science suite You'll need to have: An undergraduate degree or higher in Computer Science, Mathematics, Statistics or similar Strong attention to detail and the ability to produce high quality presentation materials for senior leadership Experience with data visualization software tools (e.g. Qliksense, Tableau, Power BI, etc.) A minimum of 3 years experience in analytics consulting, data modeling, and predictive models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps We'd love to see: Excellent interpersonal skills and ability to explain technical processes and solutions to business partners and management Dashboard development experience in QlikSense Development and design of management KPI dashboards Does this sound like you? 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
17/07/2026
Full time
Workplace Data Scientist Location: London Business Area: Workplace Operations and Supply Chain Ref #: Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the role As an integral member of the team, you will go beyond the collection and synthesis of data, you'll help us to determine where potential opportunities exist; the information required to effectively analyse our processes; and how to use findings to improve our operations and strengthen our business strategy. We are looking for a Workplace Data Scientist that possesses an outstanding combination of business insight and technical skills, as well as strong communication and social skills. You will partner with our Support functional teams to understand their needs, and collaborate with engineers to design and implement technology solutions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. Your projects will involve building complex data models, create data visualizations, conduct robust statistical analysis, and build predictive data science models to help the business make smarter decisions. You will work hands on developing data driven automations, business analytics applications that help monitor performance and identify opportunities for improvement across the organization. You'll be encouraged to work independently, understand the business problem and to handle your own priorities, while collaborating with other team members and colleagues across various businesses. You have a vision, you design, you simplify, you visualize, and you effectively communicate the business impact of your work. In this role you will lead strategic planning, while driving alignment and performance across the organization. You have the responsibility to ensure the projects, systems and processes you own are supported and drive business impact. We'll trust you to: Work closely with partners and their teams to understand their business needs and design solutions Partner with stakeholders to design insightful analytics and key performance indicators that will promote efficiency/operational excellence Think beyond specific tasks, understand the ultimate goal, and ask the right questions to drive value for the business Find innovative ways to build business impact Effectively communicate project progress and success to partners in compelling, creative, and accessible ways Build intuitive data models and dashboards using Python, SQL, and data visualization software (i.e., Qliksense, Tableau, PowerBI) Perform robust analysis of large data sets using the Python data science suite You'll need to have: An undergraduate degree or higher in Computer Science, Mathematics, Statistics or similar Strong attention to detail and the ability to produce high quality presentation materials for senior leadership Experience with data visualization software tools (e.g. Qliksense, Tableau, Power BI, etc.) A minimum of 3 years experience in analytics consulting, data modeling, and predictive models using Python A minimum of 3 years advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop and Spark Full spectrum of project management skills: ideation, prioritization, communication, and delivery Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps We'd love to see: Excellent interpersonal skills and ability to explain technical processes and solutions to business partners and management Dashboard development experience in QlikSense Development and design of management KPI dashboards Does this sound like you? 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
Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Responsibilities Design, architect and deliver agentic, LLM powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long term platform strategy. Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems. Lead large scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality. Qualifications Strong Staff level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non technical stakeholders. Additional Information We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: Armed Forces Covenant: Silver Award, Employer Recognition Scheme EcoVadis: Bronze Award Fertility Friendly Employer, accredited by Fertility Matters at Work RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024 Stonewall: Gold Award Stonewall: Top 100 Workplace Equality Index (85)
14/07/2026
Full time
Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Responsibilities Design, architect and deliver agentic, LLM powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long term platform strategy. Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems. Lead large scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality. Qualifications Strong Staff level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non technical stakeholders. Additional Information We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: Armed Forces Covenant: Silver Award, Employer Recognition Scheme EcoVadis: Bronze Award Fertility Friendly Employer, accredited by Fertility Matters at Work RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024 Stonewall: Gold Award Stonewall: Top 100 Workplace Equality Index (85)
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 250+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 250+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with top ten status on The Agency A-List for 2024 & 2025, and as Ad Age's Data & Insights Agency of the year for a record third year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios, Effies, Cannes Lions Awards, ProMax Agency of the Year, Fast Company's World Changing Ideas, Digiday's 2025 Best AI Platform and Digiday's Most Innovative Media Agency, to name a few. We couldn't create this award winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU As a Senior Software Engineer at Known, you can expect to work across various projects. You'll join small, highly focused teams where you'll have the opportunity to significantly influence the direction of our products, team practices, and the company's broader technical culture. Because our work is often project driven, we are constantly reevaluating and updating our tech stack, which means you'll always learn new skills and develop expertise in industry leading technologies. You'll be writing Python day to day on the backend to author FastAPI APIs, build pipelines, and craft distributed systems. You'll be building web UIs in Typescript and Vue. You'll use Docker and Helm to deploy your containerized applications to our Kubernetes clusters. You'll be using Terraform to spin infrastructure up and down. Finally, if you're interested, you may be contributing to open source (we actively promote open source projects internally; check out pytest-mock-resources, one of our in house custom plugins). WHAT YOU'LL DO Design and build full stack web applications in Python Create performant Web APIs with FastAPI Integrate with industry standard datastores like PostgreSQL and Snowflake Design asynchronous and event driven services Produce robust ETL pipelines with Argo Workflows Deploy these applications across multiple environments with Docker, Helm, and Kubernetes Work closely with data scientists and product managers on a wide variety of products and projects that span the marketing and advertising industries across both television and digital Play an active role in designing and building new, cutting edge products WHO YOU ARE AND WHAT YOU HAVE Strong communication and teamwork skills 3+ years of professional experience building and maintaining production applications in Python Deep understanding of Python as a language Experience with SQL and relational databases, experience with SQLAlchemy is a plus Experience with Docker and Kubernetes is a plus Experience with ETL, or message oriented architectures is a plus Experience with UI frameworks, such as Vue or React, is a plus SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $135K-$175K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
10/07/2026
Full time
WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 250+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 250+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with top ten status on The Agency A-List for 2024 & 2025, and as Ad Age's Data & Insights Agency of the year for a record third year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios, Effies, Cannes Lions Awards, ProMax Agency of the Year, Fast Company's World Changing Ideas, Digiday's 2025 Best AI Platform and Digiday's Most Innovative Media Agency, to name a few. We couldn't create this award winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU As a Senior Software Engineer at Known, you can expect to work across various projects. You'll join small, highly focused teams where you'll have the opportunity to significantly influence the direction of our products, team practices, and the company's broader technical culture. Because our work is often project driven, we are constantly reevaluating and updating our tech stack, which means you'll always learn new skills and develop expertise in industry leading technologies. You'll be writing Python day to day on the backend to author FastAPI APIs, build pipelines, and craft distributed systems. You'll be building web UIs in Typescript and Vue. You'll use Docker and Helm to deploy your containerized applications to our Kubernetes clusters. You'll be using Terraform to spin infrastructure up and down. Finally, if you're interested, you may be contributing to open source (we actively promote open source projects internally; check out pytest-mock-resources, one of our in house custom plugins). WHAT YOU'LL DO Design and build full stack web applications in Python Create performant Web APIs with FastAPI Integrate with industry standard datastores like PostgreSQL and Snowflake Design asynchronous and event driven services Produce robust ETL pipelines with Argo Workflows Deploy these applications across multiple environments with Docker, Helm, and Kubernetes Work closely with data scientists and product managers on a wide variety of products and projects that span the marketing and advertising industries across both television and digital Play an active role in designing and building new, cutting edge products WHO YOU ARE AND WHAT YOU HAVE Strong communication and teamwork skills 3+ years of professional experience building and maintaining production applications in Python Deep understanding of Python as a language Experience with SQL and relational databases, experience with SQLAlchemy is a plus Experience with Docker and Kubernetes is a plus Experience with ETL, or message oriented architectures is a plus Experience with UI frameworks, such as Vue or React, is a plus SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $135K-$175K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of 45 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description As our first dedicated data hire, you'll build the analytics foundation that helps us understand what's really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. This is a foundational role with massive visibility and ownership. Sample set of projects Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals. Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at risk accounts to Customer Success before they churn. CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up-to-date context on every account. Sales funnel analysis: map our full acquisition funnel from first touch to closed-won, identify where deals are stalling, and surface the product usage patterns that predict conversion. Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business. About You We're looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions: Based in LDN, and excited to be in office 5 days / week Strong data analytics skillset SQL Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc) BI or dashboarding tool - Metabase, Looker, Tableau, or similar AI-forward: experience vibe coding and using AI tools Relevant prior experience Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event-level data and funnel analysis Experience working directly with CRM or similar data Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non technical, and they'll rely on you to make the numbers make sense Self directed and comfortable with ambiguity - there's no existing data team to hand off to; you'll define the questions as often as you answer them. Why This Role Real ownership: You'll be the first data hire. You're not inheriting legacy dashboards or maintaining old reports - you're building the foundation from scratch. Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision making. Massive upside: We're already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth. Strong business fundamentals: Profitable, bootstrapped, and growing fast - no investor theatre, no fluff, just real traction. Benefits All the usual benefits (competitive pay, equity, etc) + Private health insurance Gym membership (Third Space) Dinner in office Frequent team offsites (Crete, Upstate NY, Cancun) If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you!
01/07/2026
Full time
About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private equity firms, Big 4 professional services firms, and leading consulting practices: organisations responsible for deploying billions of dollars annually. We're a profitable, bootstrapped company with a growing team of 45 people based in London and New York. We 10x'd our revenue in 2025 and are on track to grow 2-3x this year. Junior saves clients an average of 10 hours per week, and we're expanding fast into new verticals including investment banking, hedge funds, and research firms. Role Description As our first dedicated data hire, you'll build the analytics foundation that helps us understand what's really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. This is a foundational role with massive visibility and ownership. Sample set of projects Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals. Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at risk accounts to Customer Success before they churn. CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up-to-date context on every account. Sales funnel analysis: map our full acquisition funnel from first touch to closed-won, identify where deals are stalling, and surface the product usage patterns that predict conversion. Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business. About You We're looking for a data scientist who loves getting into the detail of how a product is actually being used and translating that into decisions: Based in LDN, and excited to be in office 5 days / week Strong data analytics skillset SQL Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc) BI or dashboarding tool - Metabase, Looker, Tableau, or similar AI-forward: experience vibe coding and using AI tools Relevant prior experience Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event-level data and funnel analysis Experience working directly with CRM or similar data Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non technical, and they'll rely on you to make the numbers make sense Self directed and comfortable with ambiguity - there's no existing data team to hand off to; you'll define the questions as often as you answer them. Why This Role Real ownership: You'll be the first data hire. You're not inheriting legacy dashboards or maintaining old reports - you're building the foundation from scratch. Direct impact: Your work will influence product roadmap, sales strategy, customer success, and executive decision making. Massive upside: We're already at $15M+ ARR and scaling quickly. The systems you build now will support the next 10x of growth. Strong business fundamentals: Profitable, bootstrapped, and growing fast - no investor theatre, no fluff, just real traction. Benefits All the usual benefits (competitive pay, equity, etc) + Private health insurance Gym membership (Third Space) Dinner in office Frequent team offsites (Crete, Upstate NY, Cancun) If you're excited about the opportunity to drive innovation at Junior, we'd love to hear from you! We can't wait to meet you!
