At a Glance
- Tasks: Lead the transition to adaptive decision systems for a major financial platform.
- Company: Join a high-growth behavioural decision intelligence platform in fintech.
- Benefits: Competitive salary, remote work, and mentorship from leadership.
- Other info: High-ownership environment with excellent career growth opportunities.
- Why this job: Shape the future of financial servicing with real-time data-driven interventions.
- Qualifications: Senior-level expertise in Python, SQL, and deploying ML models.
The predicted salary is between 110000 - 110000 £ per year.
High-growth behavioral decision intelligence platform for regulated financial servicing. You will lead the transition from descriptive analytics to adaptive decision systems for a platform supporting over 1 million mortgages. By operationalizing redemption models and building causal measurement frameworks, you'll help major UK lenders reduce friction and optimize financial journeys through data-driven interventions and production‑grade machine learning workflows.
Why this role is remarkable:
- Shape the intelligence layer of a category‑defining platform that already processes over a million mortgages for major UK lenders and building societies.
- Move beyond static modeling by building real‑world experimentation and causal reasoning capabilities directly into live regulated financial servicing workflows.
- Work in a high‑ownership environment with direct access to the founder and leadership, mentoring a growing team while influencing foundational technical architecture.
What You Will Do:
- Deploy and operationalize a redemption prediction model into live product decisioning to drive real‑time customer interventions.
- Build a robust experimentation framework and exposure measurement capability for long‑lifecycle financial products.
- Establish statistical standards for behavioral segmentation, cohort‑based forecasting, and longitudinal consumer lifecycle analysis.
The ideal candidate:
- Senior‑level expertise in Python and SQL with a proven track record of deploying ML models into production product environments.
- Deep understanding of experimentation, causal inference, and statistical modeling within behavioral or product‑focused datasets.
- Experience navigating the technical and regulatory complexities of fintech, health‑tech, or subscription‑based behavioral product environments.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (£110k) at Eligible Limited
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Senior Data Scientist (£110k) at Eligible Limited at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist (£110k) at Eligible Limited
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
