We’re partnered with a boutique financial consulting firm seeking experienced Data Scientists to join their growing data practice in London. Known for their collaborative culture and high-impact work with leading financial institutions, this is a rare opportunity to take ownership of complex data science challenges while shaping the direction of a high-performing team.
You’ll lead end-to-end delivery of machine learning solutions – from early proof-of-concept through to production – working alongside engineers, domain experts, and business stakeholders across the financial services sector.
What you’ll be doing:
- Taking ownership of data science projects from initial concept and rapid prototyping through to live production deployment
- Building and iterating on machine learning models that address real-world business problems across financial services
- Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions
- Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale
What we’re looking for:
- Proven ability to build and ship production-ready data science solutions using Python and the wider ML ecosystem
- Deep practical knowledge of applied machine learning, spanning model development through to data engineering
- Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands‑on exposure to tools like Spark, Hive or Redshift
- A track record of leading cross‑functional teams and communicating technical concepts to non‑technical audiences
- Experience with MLOps practices – CI/CD, model monitoring, DevOps integration
We encourage underrepresented talent to apply to all our roles & support accessibility needs.
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