Assistant Manager / Manager, Data Scientist

Salary: £95,000 - 130,000 per year

Requirements:

• Proven academic background, with a degree in a STEM subject or equivalent.
• Strong problem solving, analytical and critical thinking skills, with a creative approach to tackling challenges.
• Proven foundation in statistics, probability, and data analysis techniques.
• Significant hands-on experience in data science, machine learning, and AI, with a track record of delivering solutions in a professional setting.
• Hands-on experience with LLMs, including RAG, fine-tuning, and agentic AI architectures, plus familiarity with MCP and A2A communication frameworks.
• Proficiency in Python, or an equivalent programming language, and common data science libraries such as NumPy, Pandas, and SciPy.
• Proficiency in using AI tools and platforms for model development, deployment, and monitoring such as Github Co-pilot, Databricks, and MLFlow.
• Understanding of best practices for code quality, collaboration, and reproducibility.
• Ability to communicate technical information to non-technical audiences and present findings in a clear and persuasive manner.
• Experience working in multidisciplinary teams and building productive relationships with colleagues and clients.
• Commitment to staying up to date with emerging technologies, tools, and best practices.
• For the Manager role, experience translating technical outputs for non-technical audiences, managing other technical team members, and specialist knowledge of industries or sectors.

Responsibilities:

• Apply data science, machine learning, and AI techniques to extract insights and deliver business value from structured and unstructured data.
• Develop and maintain data science, AI, or simulation models written in Python.
• Collaborate with stakeholders to understand business challenges, capture requirements, and communicate findings through impactful presentations and visualisations.
• Stay abreast of emerging technologies and best practices, driving innovation within the team.
• Utilise AI tooling in the day-to-day performance of your work.
• Work as part of an experienced multi-disciplinary team developing and maintaining data science, AI, and simulation models designed to solve client problems.

Technologies:

• Agentic AI
• AI
• Databricks
• Fine-tuning
• GitHub
• Machine Learning
• MCP
• MLflow
• Python
• RAG
• numpy
• pandas
• ARM
• Support

More:

We are Deloitte, and we are growing our technical team within Simulation & Insights in London. We work on some of the biggest and most ambitious data science and simulation projects, helping our clients make business-critical decisions with multi-million-pound impacts across all industries. We offer hybrid working, with the opportunity to work from our local office, virtual collaboration spaces, client sites, and remotely depending on role requirements. We are committed to inclusion, wellbeing, flexible working, and continuous development, and we want people to bring their true selves to work while growing their careers in a purpose-driven environment.

last updated 34 week of 2026