Fin

Senior Data Scientist - Product Analytics

Fin · London, England

Posted about 3 months ago

or apply directly on Fin's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
Fin's roles stay open a median of 82 days
Reposted
No
Salary listed
No
28% of Fin's roles list one
Ghost-job risk at Fin
high
130 stale, 0 reposted of 130 open
Hiring momentum
162 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.

About this role

As a Senior Data Scientist in the Research, Analytics & Data Science team at Fin, you will leverage data to drive evidence-based decision-making and influence product strategy. Your role involves collaborating with product teams to identify key questions, designing and building data pipelines, and automating models and dashboards. You will also communicate insights across the organization to enhance customer understanding and product value.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.

What you need

  • 5+ years experience working with data to solve problems and drive evidence-based decisions
  • Excellent SQL skills and experience applying analytical and statistical approaches to problem solving
  • Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
  • Excellent communication skills (technical and non-technical) and a focus on driving impact
  • Strong growth mindset and sense of ownership
  • Experience with a scientific computing language (such as R or Python)

Nice to have

  • Experience with BI/Visualization tools like Tableau, Superset and Looker
  • Experience with data modeling and ETL pipelines
  • Experience working with product teams
  • Experience leveraging AI tools to boost efficiency and creativity across the data science workflow

Worth weighing

  • No specific salary information provided
  • Hybrid working policy requires being in the office at least three days per week
  • Company emphasizes a non-political work culture which may affect discussions and interactions

Summarised from Fin's posting. Read the full original.

Listed by Fin on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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