Senior Data Scientist - Product Analytics

Fin; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Fin is hiring a Data Scientist for their Research, Analytics & Data Science team. This role focuses on using data to drive evidence-based decision-making, helping product teams by identifying key questions and suggesting solutions based on insights.

The ideal candidate will have 5+ years of experience, excellent SQL skills, and a passion for problem-solving through data analysis. Bonus skills include experience with BI tools like Tableau and proficiency in R or Python.

Qualifications

• 5+ years experience working with data to solve problems and drive evidence-based decisions.
• Excellent SQL skills and experience of applying analytical and statistical approaches.
• Proven track record of initiating and delivering actionable analysis with minimal supervision.

Responsibilities

• Partner with product teams to identify important questions.
• Work with stakeholders to design and update end-to-end data pipelines.
• Automate actionable models and dashboards.

Skills

SQL

R

Python

Data analysis

Communication

Tools

Tableau

Superset

Looker

Job description

What's the opportunity?

• The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
• Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. 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, to set targets, to measure results and outcomes, and to 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, our products and our business.
• You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
• You’ll build and automate actionable models and dashboards
• You’ll craft data stories and share your findings and recommendations across R&D and the broader company
• You’ll drive and shape core RAD foundations and help us improve how the RAD org operates

What skills do I need?

• 5 + years experience working with data to solve problems and drive evidence-based decisions
• Excellent SQL skills and experience of 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. Innate passion and curiosity
• Experience with a scientific computing language (such as R or Python)

Bonus skills & attributes

• 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 — from ideation and coding to analysis and communication