At a Glance
- Tasks: Lead exciting data science projects and develop innovative AI models to solve real-world problems.
- Company: Join a dynamic team at the forefront of data science and simulation.
- Benefits: Competitive salary, professional growth, and the chance to work with cutting-edge technology.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a significant impact on client decisions with your data expertise.
- Qualifications: Strong STEM background and hands-on experience in data science and AI.
The predicted salary is between 70000 - 90000 £ 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
Lead Data Scientist, Simulation & Insights Strategy employer: Hm Revenue & Customs (Hmrc)
As a Lead Data Scientist in our Simulation & Insights team, you will be part of a dynamic and innovative work culture that values collaboration and continuous learning. Our London location offers a vibrant environment with access to cutting-edge technologies and diverse projects that drive significant business impact. We are committed to your professional growth, providing ample opportunities for skill development and career advancement within a supportive and inclusive team.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist, Simulation & Insights Strategy
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend industry meetups, and engage on platforms like LinkedIn. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI and simulation. We recommend using GitHub to share your code and visualisations, as it’s a great way to demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We suggest doing mock interviews with friends or mentors to build confidence. Remember, being able to explain complex concepts in simple terms is key, especially when dealing with non-technical stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience in data science and AI, and let us know how you can contribute to our mission of delivering impactful solutions.
We think you need these skills to ace Lead Data Scientist, Simulation & Insights Strategy
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills and 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 on the details!
Tailor Your Application:Take a moment to customise your application for the Lead Data Scientist role. Use keywords from the job description and relate your experiences directly to the responsibilities and skills mentioned. This shows us you’re genuinely interested!
Keep It Clear and Concise:While we love detail, clarity is key! Make sure your application is easy to read and gets straight to the point. Use bullet points where necessary to break up text and make it digestible.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring 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 Python and data science libraries like NumPy and Pandas. Be ready to discuss your hands-on experience with machine learning and AI, as well as any specific projects you've worked on that relate to simulation and insights.
✨Communicate Clearly
Since you'll need to translate complex technical concepts for non-technical audiences, practice explaining your past projects in simple terms. Use visuals or examples to make your points clearer, and be prepared to answer questions about how your work impacts business decisions.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in your previous roles and how you tackled them. Think of examples where your analytical and critical thinking skills made a difference, especially in a team setting. This will demonstrate your ability to contribute to a multidisciplinary team.
✨Stay Current
Familiarise yourself with the latest trends and technologies in data science and AI. Be ready to share your thoughts on emerging tools and best practices, and how you can drive innovation within the team. Showing that you're proactive about learning will impress your interviewers.
