At a Glance
- Tasks: Join a dynamic team to develop data science and AI models that drive business decisions.
- Company: Innovative firm at the forefront of data science and simulation projects.
- Benefits: Competitive salary, professional growth, and exposure to cutting-edge technologies.
- Other info: Collaborative environment with opportunities to work on exciting, high-stakes projects.
- Why this job: Make a real impact by solving complex problems for clients across various industries.
- Qualifications: Degree in STEM, strong analytical skills, and hands-on experience in data science.
The predicted salary is between 50000 - 70000 £ per year.
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.
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:- 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.
- Strong academic background, degree in a STEM subject.
- High level problem solving, analytical and critical thinking skills, with a creative approach to tackling challenges.
- Strong 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 NumPy, Pandas, SciPy 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 communicate technical information to non-technical audiences and to 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.
Location: London
Assistant Manager, Data Scientist, Simulation and Insights, Strategy & Business Design employer: Hm Revenue & Customs (Hmrc)
As an Assistant Manager in the Simulation & Insights team, you will thrive in a dynamic and innovative work culture that values collaboration and continuous learning. Our London location offers unparalleled access to industry leaders and cutting-edge technology, providing you with unique opportunities for professional growth and impactful contributions to high-stakes projects. Join us to be part of a team that not only drives business success but also fosters your development in the exciting fields of data science and AI.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager, Data Scientist, Simulation and Insights, Strategy & Business Design
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and simulation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and problem-solving. Use real-world examples from your experience to demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Assistant Manager, Data Scientist, Simulation and Insights, Strategy & Business Design
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills and hands-on experience in data science, AI, and simulation. We want to see how you've applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application:Customise your application to reflect the job description. Use keywords from the listing to demonstrate that you understand what we’re looking for and how you fit into our team.
Keep It Clear and Concise:When writing your application, clarity is key! We appreciate well-structured responses that get straight to the point. Avoid jargon unless it’s relevant, and make sure your passion for the role shines through.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Stuff
Make sure you brush up on your technical skills, especially in data science, machine learning, and AI. Be ready to discuss your hands-on experience with Python and any relevant libraries like NumPy or Pandas. They’ll likely want to hear about specific projects you've worked on, so have a few examples ready to go.
✨Communicate Clearly
Since the role involves translating complex technical concepts for non-technical audiences, practice explaining your work in simple terms. Use analogies or relatable examples to make your points clear. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Show Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. Think about how you would approach real-world business challenges using data science techniques. Highlight your analytical thinking and creative problem-solving abilities, as these are key for the role.
✨Stay Current
Demonstrate your commitment to staying updated with emerging technologies and best practices in the field. Mention any recent trends or tools you’ve been exploring, and be ready to discuss how they could apply to the company’s projects. This shows your enthusiasm and forward-thinking mindset.
