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- Tasks: Shape the data science capability and build predictive models in a fast-growing fintech.
- Company: Join a dynamic fintech startup with strong investment and FCA approval.
- Benefits: Competitive salary, fully remote work, and clear career progression opportunities.
- Why this job: Be the first permanent hire and influence the future of data science in the company.
- Qualifications: Experience in data science, Python, SQL, and building dashboards.
- Other info: Enjoy autonomy and variety while working closely with senior leadership.
The predicted salary is between 75000 - 85000 £ per year.
This is a rare opportunity to join a fast-growing, FCA-regulated fintech as their first permanent Senior Data Scientist, shaping a brand-new data science capability from the ground up. The business has built a highly successful SaaS platform in the Fintech space. With strong investment and FCA approval now secured, they are moving firmly into the data products and insights space - turning the rich consumer financial and behavioural data they hold into real intelligence, new models, and new customer offerings.
Things expected from you:
- Sets the standard
- Builds the capability
- Shapes the roadmap
- Becomes the go-to person for modelling, insights and DS foundations
If you are someone who enjoys autonomy, variety, being close to stakeholders, and having genuine influence in a startup that is now scaling - this is the ideal next step. This is a genuinely varied and hands-on role where you will:
- Build and scale data science and modelling foundations in Databricks
- Work with financial, consumer and behavioural data to create new models & scorecards
- Design MI dashboards and reporting to help the business understand its own data
- Collaborate closely with Product, Finance, Customer Ops and the senior leadership team
- Evaluate where ML/AI can enhance the core SaaS platform
- Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs)
- Influence how the data function grows over the next 12-24 months
This is the start of the data and analytics function - you won’t just inherit a roadmap; you’ll help write it.
You will thrive here if you are:
- A strong hands-on Data Scientist with experience in FS/fintech or regulated environments
- Confident working with Python, SQL and Databricks
- Capable of building predictive models, scorecards and ML components
- Comfortable creating dashboards/MI to support internal understanding
- Excited by a startup environment where you’ll wear different hats
- Able to communicate clearly to senior and non-technical audiences
- Looking for ownership and long-term progression into Head of DS
- Proficient in building analytic dashboards using Power BI or similar tools
- Experience working with consumer-level data (e.g., transactions, behavioural, utterance)
Why this role is genuinely exciting:
- You’re the first permanent hire - you shape how DS works here
- Direct line to the C-suite, not buried in a data pod
- True autonomy: you influence strategy, tooling, roadmap and delivery
- Visible across the entire business, including investors & NEDs
- The company is moving from SaaS - data products, meaning greenfield work
- Clear long-term upward path (team will grow over the next 12-24 months) - Underneath you ideally!
This is the role for someone who wants more than just building models - someone who wants to make their mark and grow with a FinTech entering its next phase.
Senior Data Scientist in England employer: SF Technology Solutions
Contact Detail:
SF Technology Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those relevant to finance or consumer behaviour. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. Make sure you can explain your thought process clearly, especially to non-technical folks. Remember, communication is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Scientist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your hands-on experience with Python, SQL, and Databricks, as well as any relevant fintech or regulated environment work.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've built data science capabilities in the past and how you can shape our roadmap moving forward.
Showcase Your Communication Skills: Since you'll be presenting insights to non-technical stakeholders, make sure to demonstrate your ability to communicate complex ideas clearly in your application. This could be through examples in your CV or cover letter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our data science function from the ground up.
How to prepare for a job interview at SF Technology Solutions
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, SQL, and Databricks. Be ready to discuss your experience with predictive models and how you've used them in past roles. This is a hands-on position, so showing your technical prowess will definitely impress.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and the specific challenges it faces, especially in regulated environments. Being able to speak knowledgeably about how data science can drive insights and improve products in this space will show that you're not just a techie but also understand the business side.
✨Prepare for Stakeholder Communication
Since you'll be presenting insights to non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated data findings to senior management or other non-technical audiences. This will highlight your ability to bridge the gap between data and decision-making.
✨Show Your Passion for Autonomy and Growth
This role offers a unique opportunity to shape the data science function from the ground up. Be prepared to discuss why you're excited about working in a startup environment and how you envision contributing to the growth of the team. Highlight your desire for ownership and long-term progression, as this aligns perfectly with what they're looking for.
