Data Scientist (Industrialisation) - Leeds Regional Centre - Wellington Place

About the job

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. 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.

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.

Your responsibilities will include:

• 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.

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.