Principal Data Scientist and Senior Data Engineer

Cardiff
1 year ago
Applications closed

Related Jobs

View all jobs

Principal, AI Data Science

Role: Principal Data Scientist and Senior Data Engineer

Salary: £45,974 to £54,430

Location: Cardiff (hybrid)

The Opportunity

Yolk Recruitment are excited to be working with an innovation-driven civil service organisation as they journey through some incredible projects whilst prioritising forward thinking and excellent digital practices.

Role Overview:

This is chance to work in an organisation that uses data extensively to directly inform its work. As a key part of the data team, you will be supporting the organisation in that evidence based decision-making and working with colleagues who value that contribution. You'll be supported by friendly colleagues from the immediate team as well as other parts of the organisation, but also have the autonomy to make decisions relevant to your role.

Key Responsibilities:

Develop & Manage Data Science Capabilities: Lead and expand the the data science function in alignment with Digital and Data Profession and Government Statistical Service frameworks.
Data Architecture: Build and maintain cloud-based data infrastructure supporting data science initiatives. Oversee data acquisition via APIs and other relevant methods.
Support Organisational Data Needs: Collaborate across departments to leverage data science techniques, such as machine learning, NLP, statistical modeling, AI, and geospatial analysis, to:
Enhance tax error and risk detection.
Identify relationships in data to detect unauthorized or taxable activities.
Develop APIs for seamless data transfer.
Data Science Advocacy: Present data science projects internally and externally, simplifying technical content for non-technical audiences, including supporting data sharing initiatives.
Data Governance: Partner with the Head of Information Governance to ensure all data analyses comply with data protection laws and regulatory guidelines.
Skills Development & Mentoring: Continuously develop technical expertise in relevant data science areas. Assist and mentor colleagues in applying data science techniques to their work.

Benefits:

31 days annual leave + Bank Holidays, and 2 Privilege days
Flexible and hybrid working
Generous employer contribution of 28.97%
Time off for wellbeing activities
Green car scheme
Cycle2Work and season travel tickets
Access to subsidised sports groups

Think this one's for you

If you think this Principal Data Scientist and Senior Data Engineer opportunity is for you then please apply online.

Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs.

Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.