Lead Data Scientist

Lead Data Scientist

Full-Time 62585 £ / year No working from home possible
HM TREASURY-1

At a Glance

  • Tasks: Lead data-driven projects and collaborate with a dynamic team to shape government decisions.
  • Company: Join a friendly and ambitious team at NISTA, central to UK government initiatives.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Flexible work options available, including part-time and job-share arrangements.
  • Why this job: Make a real impact on major UK projects and enhance your data science skills.
  • Qualifications: Experience in data science and a passion for collaborative problem-solving.

Salary: London: £60,670 - £67,500 / National: £57,670 - £64,500.

Contract Type: Permanent

Working Pattern: This post is available on a full-time, part-time or job-share basis, and flexible working hours can be accommodated.

Location: London. Any applicants who are already NISTA staff can also apply to be based from their existing locations in Birmingham (23 Stephenson Street), or Leeds (2 Whitehall Quay).

About the Team

Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? The NISTA Data Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects.

Working with the Government Major Projects Portfolio, the 10‑year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved.

Lead Data Scientist employer: HM TREASURY-1

NISTA is an exceptional employer that fosters a collaborative and innovative work culture, where data professionals are encouraged to learn from one another and contribute to impactful government projects. With flexible working arrangements and opportunities for professional growth, employees can thrive in a supportive environment while making a meaningful difference in the UK's infrastructure landscape. Located in the vibrant heart of London, NISTA offers a unique chance to engage with high-value data and influence major programmes that shape the future of public services.

HM TREASURY-1

Contact Details:

HM TREASURY-1 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist

Tip Number 1

Network like a pro! Reach out to current or former employees in the NISTA Data Insight Team on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!

Tip Number 2

Prepare for the interview by diving deep into the projects NISTA is involved in. Show us you’re not just another candidate; demonstrate your passion for data and how you can contribute to shaping major programmes.

Tip Number 3

Practice your storytelling skills! We love hearing about your past experiences, so frame your achievements in a way that highlights your impact and how you’ve used data to drive decisions.

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, it shows us you’re genuinely interested in joining our team.

We think you need these skills to ace Lead Data Scientist

Data Analysis
Statistical Modelling
Machine Learning
Data Visualisation
Programming in Python
SQL
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight relevant experience and skills that match the job description. We want to see how your background aligns with our mission at NISTA!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Projects:If you've worked on any interesting data projects, make sure to mention them! We’re keen to see examples of your work and how you've used data to drive insights. This is your opportunity to impress us with your practical experience.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at HM TREASURY-1

Know Your Data

As a Lead Data Scientist, you'll need to demonstrate your expertise in data analysis and insights. Brush up on the latest data science techniques and be ready to discuss how you've applied them in past projects. Show them you can turn complex data into actionable insights!

Understand the Team's Goals

Familiarise yourself with the NISTA Data Insight Team's mission and recent projects. This will help you align your answers with their objectives and show that you're genuinely interested in contributing to their goals. Tailor your responses to reflect how your skills can support their work.

Prepare for Technical Questions

Expect some technical questions during the interview. Be prepared to solve problems on the spot or explain your thought process. Practising common data science scenarios and algorithms can give you the confidence to tackle these questions effectively.

Showcase Your Collaboration Skills

The role involves working closely with various teams, so highlight your experience in collaborative environments. Share examples of how you've worked with engineers, analysts, or other professionals to achieve a common goal. This will demonstrate that you're a team player who can thrive in their dynamic setting.