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- Tasks: As a Data Scientist, you'll analyze data to support the Chancellor's growth mission and create impactful insights.
- Company: Join HM Treasury, a diverse team dedicated to driving economic growth and making a real-world impact.
- Benefits: Enjoy 25 days of annual leave, flexible working options, and a generous pension plan.
- Why this job: Be part of a fast-paced, supportive environment where your work directly influences government priorities.
- Qualifications: Experience with Python, data visualization tools, and strong interpersonal skills are essential.
- Other info: We welcome applicants from all backgrounds and offer extensive development support.
The predicted salary is between 43200 - 72000 £ per year.
Are you looking for an exciting opportunity, playing an instrumental role in the success of Government’s priority growth programmes? If so, we’d love to hear from you!
About the team
The Growth Delivery Unit is a new team established to drive delivery of the Chancellor’s priorities and support her leadership of the growth mission – the government’s ambition to grow the UK economy.
By combining policy, analytical, project management, and data science skills we can monitor the progress of policies and projects from announcement to actually delivering real-world outcomes; identifying when and why progress is being blocked; and intervening to overcome those barriers.
We are a friendly team with a can-do attitude. Our work can be fast-paced but we work flexibly to support each other. We offer lots of development support to help you thrive. Diversity and team wellbeing are very important to us. Our work is relatable and interesting because it is passionate about priority issues which are often in the news and have tangible impacts.
About the role
This is a new role, working directly on a priority of the Chancellor and her team, shaping work on the Growth Mission.
As a Data Scientist, you will shape the journey of data from source to use by system leaders, exercising significant range in the techniques you choose to deploy. You will help implement data engineering solutions, understanding a range of data architectures (including using cloud services such as Azure) and data transformation tools.
You will also have the opportunity to collect data, conduct high-quality analysis, create engaging visualisations, and develop insights, all to inform critical decision-making. There are opportunities to add statistical insight and use a variety of data analytics techniques, as well as contributing to the cross-government data science community, engaging with a range of collaborators to champion the value of data science.
Key accountabilities:
- Support the senior analytical team in developing and maintaining innovative, clear, and engaging analytical products. Use Python and tools like Plotly Dash to build insights and interactive dashboards that optimally communicate delivery progress on priority projects.
- Applying data science and other analytical techniques to extract delivery-relevant insight from data and communicating those insights in a clear and engaging manner for senior decision makers.
- Maintain and build data flows and pipelines from a wide range of sources across Whitehall by establishing relationships and promoting technological solutions such as APIs. Maintenance of said pipelines in Microsoft Azure.
- Excellent interpersonal skills, and ability to build and manage relationships across HM Treasury. Build and maintain positive relationships with analytical teams in No10, CO, and across government to ensure Ministers are presented with a single source of truth.
For more information on this role and our candidate requirements, please follow the apply link.
About us
HM Treasury is proud of a diverse and inclusive work environment, committed to fairness and the promotion of equality of opportunity for all. We know that having a range of experiences, ways of working, and thinking makes us a stronger organisation, better at developing policy that is reflective of the communities we serve. We embrace different views and experiences and value the fresh perspective that people from a variety of circumstances bring to the work we do. We welcome applications from candidates who have not previously worked for the Civil Service, mid- and late-career changers with transferable skills, people from all backgrounds and circumstances.
Some of the Benefits our people love!
- 25 days annual leave (rising to 30 days after 5 years), plus 8 public holidays and the King’s birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing you to take up to an additional 2 days off each month.
- Flexible working patterns (part-time, job-share, compressed hours).
- Generous parental leave and adoption leave packages.
- A Civil Service Pension which provides an attractive pension, benefits for dependants, and average employer contributions of 27%.
- Access to a cycle-to-work salary sacrifice scheme and season ticket advances.
- A Rental Deposit Advance Scheme to help meet the total costs of deposits for privately rented homes.
- Access to HM Treasury’s benefits portal allowing you access to a range of discount codes for online shopping.
- A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity Access to a range of allowances if eligibility applies. These include profession-related allowances.
For more information about the role and how to apply, please follow the apply link.
If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team.
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Data Scientist employer: HM TREASURY-1
Contact Detail:
HM TREASURY-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data architectures and tools mentioned in the job description, such as Azure and Python. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Engage with the cross-government data science community online. Networking with professionals in this field can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss how you've used data visualization tools like Plotly Dash in past projects. Being able to articulate your experience in creating engaging dashboards will demonstrate your ability to communicate insights effectively.
✨Tip Number 4
Highlight any experience you have in building relationships across teams or departments. The role emphasizes interpersonal skills, so sharing examples of successful collaborations can strengthen your application.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements of the Data Scientist position. Tailor your application to highlight how your skills and experiences align with the role.
Highlight Relevant Skills: Emphasize your proficiency in data science techniques, particularly in Python and tools like Plotly Dash. Provide examples of how you've used these skills in previous roles to create insights and visualizations that informed decision-making.
Showcase Your Analytical Experience: Detail your experience with data engineering solutions and cloud services, especially Microsoft Azure. Discuss any projects where you built or maintained data flows and pipelines, as this is crucial for the role.
Communicate Clearly: Since the role involves communicating insights to senior decision-makers, ensure your application reflects your ability to convey complex information in a clear and engaging manner. Use concise language and structure your application logically.
How to prepare for a job interview at HM TREASURY-1
✨Understand the Role and Its Impact
Make sure you have a clear understanding of how the Data Scientist role contributes to the Chancellor's priorities and the growth mission. Be prepared to discuss how your skills can help drive real-world outcomes and overcome barriers in policy delivery.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in Python and data visualization tools like Plotly Dash. Prepare examples of past projects where you've built insights or interactive dashboards, and be ready to explain your thought process and the impact of your work.
✨Highlight Your Interpersonal Skills
Since building relationships across HM Treasury and other analytical teams is crucial, prepare to discuss your experience in collaboration and communication. Share specific examples of how you've successfully worked with diverse teams to achieve common goals.
✨Emphasize Your Adaptability
The role involves working in a fast-paced environment with flexibility. Be prepared to share experiences that showcase your ability to adapt to changing circumstances and how you manage your time effectively while supporting team members.
