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Lead Data Scientist

Chase UK • Smartphones • Master's Degree • Python • SQL • 1 day ago
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Salary
≈ $124k – $246k per year (Estimated)
Location
In office (United States)
Seniority
Staff · 4+ years exp

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 6, 2026. Chase UK scores A on the Alion truth index.

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Chase UK

Chase UK is the digital retail bank launched in the United Kingdom by JPMorgan Chase, offering app-based current and saver accounts, cashback on card spending and investing through JP Morgan Personal Investing, with its registered office at Canary Wharf in London. It launched in 2021 as the first international expansion of the Chase consumer banking brand, has no physical branches and provides round-the-clock support through its app and by phone. Its London-based teams include software engineers, product managers, data scientists, designers and customer service staff, and the bank bought the digital wealth manager Nutmeg in 2021.
chase.co.uk • HQ: London, United Kingdom • Smartphones • 1001-5000 employees • Est. 2021
Tech stack of Chase UK

Vice President - Consumer Bank Marketing Analytics (Onboarding & Engagement)

As the Onboarding & Engagement Analytics Team Lead in Consumer Bank Marketing Analytics, you’ll own the analytics strategy behind onboarding and engagement marketing campaigns and lead a team in turning data into decisions that strengthen long-term customer relationships and optimize multimillion-dollar marketing investments.

Job Responsibilities:

  • Lead a team of three to four data scientists developing and executing the analytics roadmap to drive Onboarding and Engagement marketing strategy while also being a hands-on-contributor.

  • Translate unstructured business questions into rigorous customer behavior analyses. Identify gaps in how we measure, target, or engage customers today and lead the work to close them

  • Lead A/B and incrementality testing from experimental design through interpretation and recommendation

  • Design and influence the build of reusable data products, including curated data sets, context libraries, and AI agents, that power both analyst-led insights and emerging agentic AI solutions

  • Present findings and recommendations to senior stakeholders

  • Partner with leaders in Data & Analytics, Finance, and Marketing on experimental design and data strategy

Required qualifications, capabilities and skills:

  • Master’s degree in quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Engineering, Economics, Finance, or related field), OR equivalent directly applicable experience
  • 2+ years of direct or indirect people management experience, including hiring, training and developing high-performing talent.
  • 4+ years applying statistical methods to real-world problems
  • 4+ years of SQL experience; proficiency in Python or R; and experience with data visualization tools and techniques.
  • Hands-on experience with AI tools (e.g., GitHub Copilot, Claude Code, Codex) to accelerate day-to-day analytics; experience developing agents
  • Strong written and verbal communication skills, with experience articulating results to all levels of management.
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