Data Scientist (Assistant Manager/Manager)

Data Scientist (Assistant Manager/Manager)

📍 London (Hybrid)

💰 £70,000 - £80,000 + bonus + benefits

The Role

This 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 Do

Build and deploy data science, machine learning and simulation models to solve complex business problems

Apply advanced techniques including optimisation, forecasting, statistical modelling and AI

Develop LLM-based solutions, including:

Retrieval-Augmented Generation (RAG)

Fine-tuning and prompt engineering

Agent-based workflows

Work with large and complex datasets, both structured and unstructured

Write clean, scalable Python code for model development and production use

Use tools such as Databricks, MLflow and modern AI platforms to manage the full model lifecycle

Translate technical outputs into clear, commercially relevant insights

Engage directly with stakeholders to define problems and shape solutions

Collaborate with multidisciplinary teams across data, engineering and strategyAt Manager level, you will also:

Lead projects or workstreams end-to-end

Manage and mentor junior team members

Own stakeholder relationships and present to senior audiences

Contribute to business development and proposition buildingWhat You'll Bring

Core Skills

Strong academic background in a STEM discipline

Proven experience delivering data science, machine learning or AI solutions in a commercial environment

Strong programming capability in Python (Pandas, NumPy, SciPy or similar)

Solid grounding in statistics, probability and data analysisAI & LLM Experience

Hands-on experience with large language models, including:

RAG pipelines

Fine-tuning approaches

Agent-based architectures

A practical understanding of how to apply LLMs to real-world use casesTools & Engineering

Experience with model deployment and MLOps tools (e.g. Databricks, MLflow)

Familiarity with version control (Git) and collaborative development practices

Awareness of best practices in code quality and reproducibilityCommunication & Consulting

Ability to explain complex technical concepts to non-technical stakeholders

Experience working in client-facing or cross-functional teams

Strong problem-solving skills and the ability to manage ambiguityWhy You Should Apply

Work on high-impact projects that directly influence business decisions

Exposure to cutting-edge AI and LLM use cases

Variety of work across multiple industries and problem types

Clear progression from Assistant Manager to Manager and beyond

Strong focus on learning, development and career progression

Hybrid working model with flexibility built in

Collaborative team environment with high-performing peersReady to Apply

Contact Lewis Allen to find out more.

Please apply with a CV and a cover letter outlining why you're perfect for the role.

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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