At a Glance
- Tasks: Unlock actionable insights from data to drive product strategy and enhance customer experience.
- Company: Join a forward-thinking team at Fin, focused on data-driven decision-making.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous learning.
- Why this job: Make a real impact by shaping products that millions of users rely on daily.
- Qualifications: 5+ years in data analysis, strong SQL skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior Data Scientist - Product Analytics employer: Fin
At Fin, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Senior Data Scientists in the Research, Analytics & Data Science team are empowered to drive impactful data projects that shape our product strategy and enhance customer experiences. With a strong focus on employee growth, we offer opportunities for continuous learning and development, alongside a commitment to work-life balance in a dynamic environment that values curiosity and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Product Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at Fin or similar companies on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the RAD team. Personal connections can make all the difference!
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in past roles. Practice explaining complex data concepts in simple terms, as communication is key in this role.
✨Tip Number 3
Show off your projects! If you’ve built any dashboards or models, make sure to have them ready to share during interviews. Demonstrating your hands-on experience with data pipelines and analytics tools will set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Fin!
We think you need these skills to ace Senior Data Scientist - Product Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with data analytics, SQL skills, and any relevant projects that showcase your ability to drive evidence-based decisions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity at Fin. Share specific examples of how you've used data to influence product strategy or drive impactful insights in your previous roles.
Showcase Your Communication Skills:Since you'll be working with various teams, it's crucial to demonstrate your ability to communicate complex data insights clearly. Include examples of how you've effectively shared findings with both technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Fin
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data sets you've worked with. Be prepared to explain how you approached problem-solving using data, as this role is all about driving evidence-based decisions.
✨Brush Up on SQL and Python
Make sure you're comfortable with SQL queries and have a solid grasp of Python or R. You might be asked to solve a problem on the spot, so practice writing queries and coding solutions that demonstrate your analytical skills.
✨Prepare to Share Your Insights
Think of examples where your analysis led to actionable insights. Be ready to discuss how your findings influenced product strategy or decision-making. This will show your potential employer that you can drive impact through data.
✨Communicate Clearly and Confidently
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Good communication is key, so consider how you can present your data stories effectively during the interview.
