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- Tasks: Use data to drive customer growth and enhance user experience in a fintech environment.
- Company: A dynamic fintech company focused on making financial wellbeing accessible for everyone.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional development.
- Why this job: Join a mission-driven team and make a real impact on how people manage their finances.
- Qualifications: Strong analytical skills and experience in customer or marketing analytics.
- Other info: Collaborative, agile environment with great potential for career advancement.
The predicted salary is between 46800 - 78000 £ per year.
We're working with a growing fintech organisation that's redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience.
As a Senior Data Scientist, you'll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience.
Responsibilities
- Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention.
- Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation.
- Develop and maintain advanced analytical models to forecast customer outcomes and measure impact.
- Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making.
- Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation.
What We're Looking For
- Strong analytical foundation with experience applying statistics and data science in a commercial setting.
- Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling.
- Ability to communicate complex findings in a clear, business-relevant way.
- Experience working collaboratively in agile, cross-functional teams.
Please note: Unfortunately this role cannot offer sponsorship.
Senior Data Scientist - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at Harnham or similar companies. A friendly chat can open doors and give you insights that might just help you land that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to customer analytics. When you get the chance to chat with hiring managers, having tangible examples will make you stand out.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python skills and data modelling techniques. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying; it shows your enthusiasm!
We think you need these skills to ace Senior Data Scientist - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience in customer analytics and data science, and don’t forget to mention any relevant tools like Python that you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fintech and how your skills can help us make financial wellbeing accessible for everyone. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, give examples of how you've translated business challenges into analytical questions. We want to see your thought process and how you’ve used data to drive decisions in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible while applying!
How to prepare for a job interview at Jobster
✨Know Your Data Science Tools
Make sure you're well-versed in Python and its libraries like Pandas, NumPy, and Scikit-learn. Brush up on how you've used these tools in past projects, as you'll likely be asked to discuss specific examples during the interview.
✨Understand the Business Context
Familiarise yourself with the fintech industry and the company's mission. Be ready to discuss how your analytical skills can help them achieve their goals of making financial wellbeing accessible and transparent for customers.
✨Prepare for Scenario Questions
Think about how you would approach translating business challenges into analytical questions. Prepare a couple of scenarios where you've successfully identified opportunities for product or marketing optimisation using data.
✨Communicate Clearly
Practice explaining complex data findings in a straightforward manner. You might need to present your insights to senior stakeholders, so being able to convey your recommendations clearly and effectively is crucial.
