AI Summary
Drive commercial value by working on interesting data problems. Deliver ML solutions that improve real business outcomes. Collaborate with senior stakeholders in private equity portfolios.
Key Highlights
Own end-to-end ML delivery from problem definition through deployment
Build and productionise models across various use cases
Translate technical work into clear commercial impact
Key Responsibilities
Own end-to-end ML delivery from problem definition through deployment
Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases
Work closely with data engineers and cloud infrastructure to scale solutions
Translate technical work into clear commercial impact for senior stakeholders
Contribute to code quality, deployment standards, and best practices
Technical Skills Required
Benefits & Perks
£90,000–£110,000 base
15–20% discretionary bonus
7% employer pension
private medical (family cover)
life assurance
income protection
25 days holiday + bank holidays
Job Description
Do you want to work on interesting data problems to drive commercial value?
Have you taken models from prototype to production in messy, real-world environments?
Are you ready to work with senior stakeholders in private equity portfolios?
We’re hiring for a fast-growing, London-based investment-focused AI firm that partners with private equity and investment groups to embed data science and machine learning into portfolio companies. Backed by recent investment and partnered with leading European PE firms, the business is scaling its deployment team to deliver measurable value across diverse industries.
This Senior Data Scientist / Senior Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles.
Key Responsibilities
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- Own end-to-end ML delivery from problem definition through deployment
- Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases
- Work closely with data engineers and cloud infrastructure to scale solutions
- Translate technical work into clear commercial impact for senior stakeholders
- Contribute to code quality, deployment standards, and best practices
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
- Salary: £90,000–£110,000 base + 15–20% discretionary bonus
- Working model: Hybrid, 2–3 days per week in a central London office (flexible)
- Tech stack: Python, SQL, Databricks, AWS/GCP/Azure, Git, Docker
- Benefits: 7% employer pension, private medical (family cover), life assurance, income protection, 25 days holiday + bank holidays
- Visa: Sponsorship available
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