Senior Data Scientist

Senior Data Scientist

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Unlock actionable insights from data to drive product strategy and customer empathy.
  • Company: Join a fast-growing start-up with a focus on innovation and collaboration.
  • Benefits: Competitive salary, unlimited AI tool access, flexible holidays, and comprehensive health insurance.
  • Other info: Dynamic environment with opportunities for growth and creativity.
  • Why this job: Make a real impact by influencing product decisions and shaping user experiences.
  • Qualifications: 5+ years in data analysis, strong SQL skills, and experience with product teams.

The predicted salary is between 60000 - 80000 £ per year.

The Research, Analytics & Data Science (RAD) team at Fin uses data and insights to drive evidence-based decision-making. We are a team of data scientists and product researchers who use data to unlock actionable insights about our customers, products, and business. We generate insights that build customer empathy, drive product strategy, and shape products that deliver real value. If you get excited about asking the right questions, exploring patterns in data, and turning insights into action, this role is for you.

Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, products, and business, using metrics, data, and analysis. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.

What will I be doing?

  • You’ll partner with product teams to help them identify important questions and answer those questions with data.
  • You’ll work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results and outcomes, and size opportunities.
  • You’ll design, build, and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
  • You’ll partner closely with product researchers to build a holistic understanding of our customers, products, and business.
  • You’ll influence our product roadmap and product strategy through exploratory analysis and quantitative research.
  • Increasingly, you will also:
    • Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding, and insight generation.
    • Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks.
    • Build scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insights.
    • Help teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces).
    • Raise the bar for how AI is used within RAD - sharing patterns, workflows, and best practices.
    • Craft clear, compelling data stories and communicate recommendations across R&D and the broader company.
    • Contribute to and shape core RAD foundations, improving how the team operates.

What skills do I need?

  • 5+ years experience working with data to solve problems and drive evidence-based decisions.
  • Strong SQL skills and solid grounding in statistics.
  • Experience working closely with product teams.
  • Proven track record of delivering actionable insights that drive measurable impact with minimal supervision.
  • Strong product intuition, business acumen, and ability to connect analysis to strategy.
  • Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes.
  • Strong ownership, curiosity, and growth mindset.
  • Experience with a scientific computing language (e.g. Python).

And increasingly important:

  • Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work.
  • A mindset of automation and leverage - looking for ways to scale your impact beyond one-off analyses.
  • Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing.

Bonus skills & attributes

  • Experience with data modeling and ETL pipelines (especially dbt).
  • Experience building internal tools, data products, or self-serve analytics capabilities.
  • Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication.

Benefits

  • Competitive salary and equity in a fast-growing start-up.
  • Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.
  • Regular compensation reviews - we reward great work.
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.
  • Open vacation policy and flexible holidays so you can take time off when you need it.
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.
  • MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done.

Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, colour, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Senior Data Scientist employer: United States Digital Space LLC

At Fin, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Data Scientist, you'll enjoy competitive salaries, unlimited access to cutting-edge AI tools, and an open vacation policy that promotes work-life balance. With regular compensation reviews and opportunities for professional growth, you'll be part of a team that values innovation and collaboration in a fast-paced environment.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist

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Apply Directly through Our Website

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We think you need these skills to ace Senior Data Scientist

Data Analysis
SQL
Statistics
Product Management
Communication Skills
Python
AI Tools (e.g. Claude Code, Cursor)

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at United States Digital Space LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at United States Digital Space LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.