At a Glance
- Tasks: Lead end-to-end data science projects, delivering insights and models to enhance profitability.
- Company: Join a market-leading Lloyd's Syndicate with a focus on innovation.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Other info: Collaborative culture with opportunities to mentor and upskill fellow data scientists.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Strong Python skills, machine learning experience, and familiarity with MLOps and cloud platforms.
The predicted salary is between 63000 - 77000 £ per year.
- London, United Kingdom | Posted on 26/08/2026
- We are recruiting for a
Senior Data Scientist on behalf of amarket leading Lloyd's Syndicate.
The successful candidate will strengthen the business's datascience capability by delivering models and insights that improve underwritingprofitability, automation and efficiency.
It is a true end-to-end role, owningprojects from problem framing through to deployment and ongoing modelperformance, with strong object-oriented programming, machine learning andstatistical skills, and experience taking models into production, designing MLpipelines and working with MLOps, CI/CD and Azure.
Key Responsibilities
- Delivery of data science products
- Leading data scienceprojects end-to-end, from problem framing through development, deploymentand ongoing monitoring in production.
- Working alongside theactuarial team and coordinating with the Data Science and Data Analytics Manager to support the business with proactive analytics and insights.
- Using generative AI toenrich insight and unlock new opportunities, deployed and maintainedthrough the same MLOps patterns applied to traditional models.
- Engineering and MLOps standards
- Designing, building andmaintaining machine learning pipelines in a cloud environment, applyingsound software engineering practice.
- Owning deployed modelsin life, monitoring performance and drift, and ensuring models aredocumented and explainable to a standard appropriate for a regulatedenvironment.
- Stakeholder engagement and requirements
- Working with technicaland non-technical stakeholders to identify, document, analyse andprioritise requirements for data science products.
- Producing cleardeliverables and communicating findings and their limitations to audienceswithout a technical background.
- Team and capability building
- Coaching and upskillingdata scientists and data analysts through code review, pairing andmentoring, and contributing to the data science backlog and roadmap.
- Key Requirements
- Strong Python, writtento production standard, with object-oriented design and softwareengineering fundamentals: version control, code review, automated testing, dependency and environment management.
- Machine learning acrossthe standard toolkit (scikit learn, pandas, Num Py, statsmodels orequivalents), with sound judgement about model selection, validation andthe limits of what the data supports.
- MLOps and CI/CD inpractice, covering pipeline orchestration, model versioning, automateddeployment, monitoring and retraining.
- Cloud based machinelearning delivery, ideally on Azure (Azure ML, Azure Dev Ops), withequivalent AWS or GCP experience considered.
- SQL and relational datamodelling, with the ability to work efficiently against large datasets.
- Statistical foundationssufficient to design sound experiments, quantify uncertainty and challengeconclusions that the data does not support.
- Insurance experience(specifically in the Lloyd's market), pricing or underwriting in aregulated environment.
- Practical experiencedeploying generative AI or LLM based solutions.
Altogether, this role suits a hands-on data scientist whocan own the full lifecycle from problem framing to production and translatethat work into commercial value alongside underwriters and actuaries.
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Senior Data Scientist employer: Claims Recruitment Services
As a leading Lloyd's Syndicate based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities, mentorship programmes, and the chance to work with cutting-edge technologies like generative AI and cloud-based machine learning. Join us to be part of a forward-thinking team where your contributions directly impact underwriting profitability and efficiency in a supportive and engaging environment.
Contact Details:
Claims Recruitment Services Recruitment Team
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