We launched Chase UK to revolutionise mobile banking with seamless journeys that our customers love. We’re already trusted by millions in the US and we’re quickly catching up in the UK — but how we do things here is a little different. We’re building the bank of the future with a start-up mentality, meaning you’ll have the opportunity to make a real impact.
As a Data Scientist within JPMorganChase’s International Consumer Bank, you’ll sit in our Business Analytics team and partner closely with Product, Marketing, Operations and Engineering. Your focus will be on using data, experimentation, and lightweight predictive modelling (e.g., churn/retention signals, propensity models). You’ll contribute to analytical direction, deliver high-quality analysis and experimentation, and translate outcomes into clear actions that improve customer experience and business performance.
Our Business Analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We’re looking for people who are curious, thrive in collaborative squads, and are passionate about practical problem-solving. We work in tribes and squads aligned to products and projects, and depending on your strengths and interests, you’ll have the opportunity to move between them.
While we’re looking for strong professional skills, culture is just as important to us. We value diversity of thought, experience and background, and we want our teams to reflect the communities we serve.
Job responsibilities:
Deliver high-quality analyses and models, and participate in peer reviews to improve analytical quality and communication.
Partner with cross-functional stakeholders to translate business questions into hypotheses, success metrics, and decision-ready recommendations (with support from senior team members).
Support measurement for key customer journeys and commercial outcomes, with an emphasis on customer behaviour and profitability (e.g., engagement, retention, cross-sell, unit economics).
Design, execute, and evaluate experiments (A/B and other controlled tests): define test plans, guardrails, basic sample sizing considerations, and interpret results with appropriate uncertainty.
Apply statistical methods to quantify impact and drivers (e.g., segmentation, cohorting), and clearly communicate trade-offs and limitations.
Build, validate, and maintain lightweight predictive models to support decisions (e.g., churn risk/retention targeting, response propensity, customer value proxies), prioritizing interpretability, stability, and measurable lift under guidance and with appropriate review.
Follow and contribute to best practices for reproducible analysis and experimentation (documentation, code review norms, clear metric definitions).
Collaborate with cross-functional partners (data engineering, analytics engineering, ML engineering, dashboard developers) to ensure data is fit-for-purpose for analysis/experimentation and insights are operationalised.
Communicate insights in compelling narratives for both technical and non-technical audiences; influence roadmap and business decisions inform roadmap and business decisions through evidence.
Required qualifications, capabilities and skills:
Strong collaboration skills; experience working in cross-functional teams to deliver analytics and experimentation.
Advanced SQL skills (complex joins, validation, performance-aware querying).
Strong Python for analytics (reproducible analysis; comfortable with common DS tooling).
Strong grounding in statistics and experimentation (hypothesis testing, confidence intervals, common pitfalls, bias/confounding; sample size/power concepts).
Proven experience translating open-ended business questions into structured analyses that drive measurable outcomes.
Demonstrated experience in customer analytics (behavioural analysis, funnels/journeys, cohorting, campaign measurement) and commercial thinking (profitability / unit economics).
Ability to influence stakeholders and drive alignment in a fast-paced, agile, cross-functional environment in a fast-paced, agile environment, using clear analysis and communication.
Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities and skills
Familiarity with quasi-experimental/causal approaches when randomisation isn’t feasible (e.g., diff-in-diff, matching/propensity approaches), and knowing when not to use them.
Experience building interpretable predictive models (e.g., logistic/linear regression, tree-based methods) with disciplined evaluation (leakage checks, calibration, drift/monitoring considerations).
Product and commercial curiosity: ability to balance rigor with speed and learn what is “good enough to decide” with guidance from senior partners.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Strong collaboration skills and experience working cross-functionally to deliver analytics and experimentation
- Advanced SQL skills, including complex joins, validation, and performance-aware querying
- Strong Python skills for reproducible analytics and common data science tooling
- Strong grounding in statistics and experimentation, including hypothesis testing, confidence intervals, bias, confounding, sample sizing, and statistical power
- Experience translating open-ended business questions into structured analyses that drive measurable outcomes
- Experience in customer analytics, including behavioral analysis, funnels, journeys, cohorting, and campaign measurement
- Commercial thinking, including profitability and unit economics
- Ability to influence stakeholders and drive alignment in a fast-paced, agile, cross-functional environment
- Excellent written and verbal communication skills in English
- Familiarity with quasi-experimental and causal approaches such as difference-in-differences, matching, and propensity methods
- Experience building interpretable predictive models, including regression and tree-based methods, with disciplined evaluation
- Product and commercial curiosity, balancing analytical rigor with speed and practical decision-making
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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