Salary: Up to £85,000 + Excellent Benefits
Job Type: Permanent, Full Time
We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance.
This is an opportunity to work on complex optimisation challenges at scale, developing models that directly influence pricing decisions, customer outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications.
The Role
As a Senior Data Scientist, you'll take ownership of developing and improving production machine learning models used to support pricing and commercial decision-making.
You'll partner closely with commercial, product, finance and engineering teams to identify opportunities, design experiments and deliver solutions that generate measurable business impact.
This role combines advanced modelling with hands-on deployment, making it ideal for someone who enjoys taking ideas from concept through to production.
Key Responsibilities
- Develop and optimise pricing and revenue-focused machine learning models.
- Design and evaluate experiments, including backtesting and online testing methodologies.
- Build predictive models to support commercial decision-making and risk assessment.
- Deploy, monitor and maintain production machine learning solutions.
- Work closely with stakeholders to understand business challenges and translate them into scalable data products.
- Develop and improve AI-powered solutions, including LLM and automation use cases.
- Drive best practices in model development, testing, monitoring and governance.
- Mentor colleagues and contribute to the wider technical direction of the team.
About You
You will be a strong fit if you have:
- Several years' experience building and deploying machine learning models in production environments.
- Strong experience in pricing, optimisation, revenue management or commercially focused analytics.
- Advanced Python and SQL skills.
- Experience designing and evaluating experiments and understanding statistical performance.
- A strong understanding of machine learning techniques and predictive modelling.
- Experience working within cloud environments such as Azure, AWS or GCP.
- The ability to clearly communicate technical concepts to both technical and non-technical audiences.
- A proven track record of turning business problems into measurable outcomes.
Nice to Have
- Experience with Bayesian modelling, optimisation algorithms or multi-armed bandits.
- Exposure to Generative AI, LLMs or agentic AI systems.
- MLOps experience, including CI/CD, model monitoring and deployment pipelines.
- Experience working within insurance, fintech, travel, ecommerce or other highly transactional environments.
What's On Offer?
- Opportunity to work on genuinely business-critical machine learning problems.
- High levels of ownership and autonomy.
- Exposure to both traditional machine learning and emerging AI technologies.
- A collaborative and highly technical environment.
- Clear opportunity to influence product direction and commercial outcomes.
- Competitive salary, bonus and benefits package.
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