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Assistant Manager​/Manager, Data Scientist, Simulation and Insights, Strategy & Business Design

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: HM Revenue & Customs (HMRC)
Full Time position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Assistant Manager / Manager, Data Scientist, Simulation and Insights, Strategy & Business Design
Location: Greater London

Job description

Connect to your Industry

Do you want to be at the heart of some of the biggest and most ambitious data science and simulation projects? Do you want to use your skills to help our clients make business critical decisions with multi-million pound impacts across all industries?

We are proud of the impact we have with our clients, the strength of our relationships and the variety of skills and expertise that we bring to help them achieve their mission.

We're growing our technical team within Simulation & Insights. If you have a strong academic background with technical hands on experience building models in the data science, AI or simulation space and want to grow your career in this sector, we are very keen to hear from you.

For the Manager role we would also be looking for experience in translating technical outputs for non technical audiences, managing other technical team members and specialist knowledge of industries or sectors.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It's how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way
, serve with integrity
, take care of each other ,
foster inclusion
, and collaborate for measurable impact
. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most .

Connect to your opportunity

As a data scientist with the Simulation & Insights team you will work as part of an experienced multi-disciplinary team developing and maintaining data science, AI and simulation models, designed to solve client problems.

Responsibilities include:
  • 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.
Connect to your skills and professional experience Essential:
  • Proven academic background, degree in a STEM subject or equivalent.
  • High level 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 equivalent programming language) and associated common data science libraries (such as Num Py, Pandas, Sci Py etc for Python).
  • Proficient in using AI tools and platforms for model development, deployment, and monitoring (such as Github Co-pilot, Databricks, MLFlow etc).
  • Understanding of best practices for code quality, collaboration, and reproducibility.
  • Ability to communicating technical information to non-technical audiences and to present findings in a clear and persuasive manner.
  • Experience working in multidisciplinary teams…
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