Lead Data Scientist

monzoreferrals

United States

Hybrid

USD 126,000 - 172,000

Full time

14 days+

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Benefits offered by this job

Relocation support
Visa sponsorship
Annual learning budget £1,000
Flexible hours
Part-time arrangements where feasible

Job summary

monzoreferrals is seeking a Senior Data Scientist Leader to own the data science strategy for a fast-growing digital bank. You will shape analytics and experimentation, mentoring data scientists while influencing high-impact decisions across product, engineering, and design.

The role sits at the intersection of Borrowing, Growth, Payments, FinCrime, Wealth, or Core, matched to your strengths after interview.

Qualifications

  • Cross-functional, fast-moving product teams collaboration.
  • Strategic thinker connecting product decisions to customer value through data.
  • Mentoring and developing other data scientists and analytics engineers.

Responsibilities

  • Define and evolve the data strategy guiding product experience.
  • Build and enforce best practices for experimentation and evidence-based decisions.
  • Partner with product, engineering, design, and research leaders on new ideas.

Skills

Cross-functional teams
Data-driven strategy
Mentoring
Experimentation
Causal inference
Data analysis
Looker

Tools

Looker

Job description

Role overview

This senior position leads data science strategy for a fast-growing digital bank, shaping how analytics and experimentation deepen customer engagement. The role sits at the intersection of product, engineering, and design, mentoring data scientists while influencing high-impact decisions across the business. Final team placement across areas such as Borrowing, Growth, Payments, FinCrime, Wealth, or Core is matched to the candidate's strengths after interview.

Responsibilities
  • Define and evolve the data strategy guiding how customers experience the product day to day
  • Build and enforce best practices for experimentation so teams can make evidence-based decisions
  • Partner with product, engineering, design, and research leaders to develop and iterate on new product ideas
  • Set standards for data work across the organization, championing knowledge sharing and continuous improvement
  • Mentor data scientists and analytics engineers, raising the technical bar of the wider team
  • Question existing measurement frameworks and propose stronger ways to evaluate success
Requirements
  • Track record of working effectively within cross-functional, fast-moving product teams
  • Strategic thinker who can connect commercial product decisions to customer value through data
  • Enthusiasm for mentoring and developing other data scientists and analytics engineers
  • Hands-on experience with experimentation, causal inference, or similar techniques applied to challenging problems
  • Comfort digging into nuanced data to build foundational knowledge for new features and products
  • Strong opinions on how to measure success, with the willingness to challenge conventional approaches
Nice to have
  • Background supporting products in borrowing, growth, payments, financial crime, wealth, or core banking domains
  • Familiarity with self-serve analytics tooling such as Looker
Benefits and work setup
  • Compensation range of £95,000 to £130,000 plus performance-linked incentive awards and a benefits package
  • Office hubs in London and Barcelona, with distributed working available across the UK and occasional travel to London
  • Relocation support for moves to the UK or Spain, plus visa sponsorship
  • Flexible hours with autonomy over how and when work gets done
  • Annual learning budget of £1,000 for books, training, and conferences
  • Part-time arrangements supported where feasible to accommodate other commitments or work-life balance
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