HM Revenue & Customs
Data Scientist (Industrialisation)
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Job Summary
Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it’s really like to work at HMRC.
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Are you inquisitive and enjoy solving problems? Do you want your work to make a difference? If so, then joining HMRC’s Data Science team could be your next career step. We are looking for people with a passion for data science who aren’t afraid to challenge the status quo.
We are a 70-strong team operating at the cutting edge of data science and technology. We use a wide range of data science tools and techniques to support the strategic objectives of the department. We help to solve key challenges, including ensuring HMRC collects the right taxes, pays out the right financial support, and making it easier for our customers to get their taxes right. To do this we work with some of the richest and largest datasets anywhere in government.
We are a mixture of analysts, IT professionals, and data scientists. We work very closely with architects, engineers, and other IT professionals, and we own and help to manage our own scalable cloud data science environment, which includes R and Python. This close integration ensures that when products are developed, they can be deployed and made available to the people who need them, so that our insight and analysis leads to action.
Job Description
The Industrialisation team is part of the wider Data Science team, taking Data Science products from development through release and into production, in line with our agreed Industrialisation Process. This is aligned with wider CDIO governance and ensures products developed in house by CDIO Data Science can be delivered, maintained and supported to the business long term.
Your primary role will be to work with the G7 Industrialisation Lead, across all CDIO Data Science teams to help developers with the handover of completed apps, and the transition into live services. You will help ensure data science products are developed to required standards, delivered into the business appropriately and properly supported. You will work as part of a supportive multi-disciplinary team, as well as individually on projects.
Alongside that you will work on projects with other data scientists, using analytical tools and environments (cloud environment with R, Python and SAS, as well as PowerApps) to help develop and deliver data science products. This could include processing pipelines, interactive dashboards, machine learning models, as well as statistical analysis and insight; working closely with the intended customers and business experts to scope and design the most effective and appropriate product.
You will also be given ample opportunity and support for personal and professional development, including upskilling on tools, approaches and techniques, with the expectation of cross team development and mentoring: if you learn something cool, share it! A lot of the development opportunities will be driven by your ideas and interests, as well as by the skills needed for particular projects. Overall you will be given a lot of freedom to decide the best way for you to work and also what and how you'd like to grow as a data scientist.
Person specification
Your Responsibilities Will Include
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- Providing support to end-users of our data science products, investigating and resolving any issues.
- Developing new data science solutions in R or python, working effectively with customers to gather and implement their functional requirements.
- Document projects and processes to capture knowledge, ensuring continuity of service and following best practice.
- Support the cloud platform used by data scientists, monitoring usage and working as an administrator for tasks and new requests.
- Manage change and release for existing Industrialised products.
- Expand the Data Science Industrialisation Process, considering how it should evolve to meet future Generative AI needs and develop wider best practice.
Essential Criteria
- Have a good understanding of testing methodologies and how to safely deploy code to live products
- Work with specialists in multidisciplinary teams to reliably deliver data science products into the organisation
- Experience collaborating with technical and non-technical internal customers throughout the project lifecycle
- Experience maintaining and supporting Data Science products as live services
- Awareness of IT Service Management processes, IT Change and Release processes and how they apply to Data Science tools.
- Understanding of PowerPlatform solutions and ability to provide support for them, diagnosing and resolving simple issues.
Further Location Information
Please ensure that you only apply for a location that you are willing and able to work from, as we will only make one offer of employment. Any additional notes included in a ‘Further Location Preferences (optional)’ field within the application form, will not be considered. Please be aware that you cannot change your location preference after submitting your application.
Leeds Locations
Moves Adjustment Payment will be available for this role, provided the successful applicant is a current HMRC colleague in Bradford and meets the eligibility requirements outlined in the HMRC’s Moves Adjustment Payment guidance.
Technical skills
We'll assess you against these technical skills during the selection process:
- Programming and Build (Data Science) - Ability to develop data science solutions in R or python.
Alongside your salary of £45,544, HM Revenue and Customs contributes £13,194 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window).
HMRC operates both Flexible and Hybrid Working policies, allowing you to balance your work and personal commitments. We welcome applications from those who need to work a more flexible arrangement and will agree to requests where possible, considering our operational and customer service needs.
We offer a generous leave allowance, starting at 25 days and increasing by a day for every year of qualifying service up to a maximum of 30 days.
- Pension - We make contributions to our colleagues’ Alpha pension equal to at least 28.97% of their salary.
- Family friendly policies.
- Personal support.
- Coaching and development.
To find out more about HMRC benefits and find out what it’s really like to work for HMRC hear from our insiders or visit [Thinking of joining the Civil Service](opens in a new window).
Artificial intelligence
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.
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Selection process details
This vacancy is using Success Profiles (opens in a new window), and will assess your Experience and Technical skills.
How To Apply
As part of the application process, you will be asked to provide the following:
- A name-blind CV including your recent job history last 3 roles (250 words max per role).
- A 500-word Personal Statement. Your Personal Statement (max 500 words) should be used to describe your suitability for the advertised role, addressing the essential criteria as outlined in the person specification part of the advert.
- A 250-word technical statement based on your ability to develop data science solutions in R or python. Please demonstrate your experience writing complex programs or scripts for a data science solution, including an understanding of best practice, version control and iterative release to existing products.
Sift
In the event of a large number of applications being received, an initial sift may be held on the technical skill requirement - Ability to write complex code in R or python.
At full sift, your Technical Skill element statement, your CV and your Personal Statement will be assessed, with the successful candidates being invited to interview.
We may also raise the score required at any stage of the process if we receive a high number of applications.
Interview
During the panel interview you will be asked some technical-based questions and some experience-based questions.
Interviews will take place via video link.
Sift and interview dates to be confirmed.
Eligibility
Please take extra care to tick the correct boxes in the eligibility sections of your application form. Mistakes sometimes happen but if you contact us later than two working days (Monday-Friday) before the vacancy closes, we may not be able to reopen your application for you. If you do make a mistake with your eligibility form, or have withdrawn yourself in error and need your application reinstated whilst the campaign is still live, please contact us via: unitybusinessservicesrecruitmentresults@hmrc.gov.uk – Use the subject line to insert appropriate wording for example – ‘Please re-open my application – [insert vacancy ref] & vacancy closing date [insert date]’.
To check that you are eligible to apply for this role, please review the eligibility information before submitting your application.
The HMRC app can help you with your application
The HMRC app can provide you with your past 5 years' employment history, making the process of filling in your application quicker and easier.
If successful in your application, you will need your National Insurance number for the onboarding process.
Download the HMRC app now and save your National Insurance number to your digital phone wallet.
How to download the HMRC app and sign up for an account
Download the free HMRC app from the App Store or Google Play store.
If you have an HMRC online account already, sign straight in using your ID and password. If not, you can prove your identity by answering some questions or providing your photo ID.
You’ll then be able to access the app quickly and easily by signing in
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