Senior Data Scientist
Meet Our Recruiter
Richard Brady
About the Role
Senior Data Scientist
The Opportunity
Most data science work in finance ends up in a slide deck. This project ends up in the pricing.
You'll join a strategic initiative where your models directly shape how an international FinTech business prices its products. The simulations you build will quantify revenue impact under different assumptions, and the people making the decision will act on what you show them.
This is a 6-month, full-time contract starting as soon as possible. That means a defined, high-impact engagement with a clear finish line, and a piece of pricing work you can point to long after it's done.
You'll work on a hybrid basis: 2 days a week in the office, 3 days remote.
The Role
The project is already moving, so you'll be contributing from week one. You'll own the analytical work end to end: connecting and mining data, simulating and predicting outcomes, then illustrating and deploying the results.
Your focus will include:
- Building and running simulation-based scenarios to quantify revenue and business impact across different pricing assumptions
- Designing, training, deploying and monitoring predictive algorithms
- Developing data-driven business case models
- Translating business needs into testable hypotheses and turning them into advanced analytical projects
- Running ad hoc analyses to answer specific business questions as they come up
- Presenting findings to technical and non-technical stakeholders, so your work drives decisions rather than sitting in a notebook
The Company
You'll be working with an international FinTech business serving private and professional investors across global financial markets.
Pricing sits at the commercial heart of any business like this, which is why the project has strategic priority. Your work will be visible well beyond the data team, and the environment is fast-paced by design: fewer layers, quicker decisions, and a genuine appetite for evidence-led answers.
What You'll Need
- Senior-level experience as a Data Scientist, with a strong grounding in statistics and predictive modelling
- A track record of applying these skills within a financial services business
- Proficiency in Python and SQL
- Experience analysing both structured and unstructured data
- Working knowledge of financial markets and products such as options and futures
- Availability to start at short notice for a 6-month, full-time engagement
How to Apply
Your CV doesn't need to be up to date. Send what you have, or just give us a call. The MAM Gruppe team will talk you through the project and next steps.
The start date is tight on this one, so if it sounds right, get in touch sooner rather than later.