Data Scientist

Data Scientist (Assistant Manager/Manager)📍 London (Hybrid)💰 £50,000 - £80,000 (DOE)+ bonus + benefitsThe RoleThis is an opportunity to join a growing Simulation & Insights team working at the intersection of data science, AI and decision modelling.You’ll be delivering solutions that help organisations make complex, high-value decisions, from optimising operations to shaping long-term strategy.It’s a hands-on role with a strong consulting edge. You’ll be building models one day and working directly with stakeholders the next, explaining what the outputs actually mean for the business.The role is offered at Assistant Manager or Manager level, depending on experience. At Manager level, you’ll take on additional ownership of projects, stakeholders and team members.What You’ll DoBuild and deploy data science, machine learning and simulation models to solve complex business problemsApply advanced techniques including optimisation, forecasting, statistical modelling and AIDevelop LLM-based solutions, including:Retrieval-Augmented Generation (RAG)Fine-tuning and prompt engineeringAgent-based workflowsWork with large and complex datasets, both structured and unstructuredWrite clean, scalable Python code for model development and production useUse tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycleTranslate technical outputs into clear, commercially relevant insightsEngage directly with stakeholders to define problems and shape solutionsCollaborate with multidisciplinary teams across data, engineering and strategyAt Manager level, you will also:Lead projects or workstreams end-to-endManage and mentor junior team membersOwn stakeholder relationships and present to senior audiencesContribute to business development and proposition buildingWhat You’ll BringCore SkillsStrong academic background in a STEM disciplineProven experience delivering data science, machine learning or AI solutions in a commercial environmentStrong programming capability in Python (Pandas, NumPy, SciPy or similar)Solid grounding in statistics, probability and data analysisAI & LLM ExperienceHands-on experience with large language models, including:RAG pipelinesFine-tuning approachesAgent-based architecturesA practical understanding of how to apply LLMs to real-world use casesTools & EngineeringExperience with model deployment and MLOps tools (e.g. Databricks, MLflow)Familiarity with version control (Git) and collaborative development practicesAwareness of best practices in code quality and reproducibilityCommunication & ConsultingAbility to explain complex technical concepts to non-technical stakeholdersExperience working in client-facing or cross-functional teamsStrong problem-solving skills and the ability to manage ambiguityWhy You Should ApplyWork on high-impact projects that directly influence business decisionsExposure to cutting-edge AI and LLM use casesVariety of work across multiple industries and problem typesClear progression from Assistant Manager to Manager and beyondStrong focus on learning, development and career progressionHybrid working model with flexibility built inCollaborative team environment with high-performing peersReady to ApplyContact Lewis Allen to find out more.Please apply with a CV and a cover letter outlining why you’re perfect for the role.Know someone great for the job? We offer a referral scheme, just get in touch!Note: We do our best to respond to every application, but due to volume, we can’t always guarantee it. If you haven’t heard back within 7 days, unfortunately, you haven’t been successful this time. Keep an eye on our site for new opportunities!