At a Glance
- Tasks: Develop and deploy machine learning models, transforming prototypes into scalable systems.
- Company: Join UKRI, a leader in AI initiatives with a focus on real-world outcomes.
- Benefits: Remote work, competitive pay, and the chance to make a tangible impact.
- Other info: Opportunities for growth in a supportive, inclusive environment.
- Why this job: Be part of a dynamic team driving AI solutions that are already in production.
- Qualifications: Strong Python skills and experience with machine learning algorithms required.
The predicted salary is between 45000 - 55000 £ per year.
On behalf of UKRI, we are looking for a Data Scientist (Inside IR35) for a 6 month contract based Remote (Occasional travel to Swindon office). We are seeking a Data Scientist to join a live, scaling AI programme delivering practical, production-ready solutions across UKRI's data landscape. This is a hands-on, delivery-focused role where you will work across the full machine learning life cycle, taking models from prototype through to live production and ongoing optimisation.
You will be joining an established team at a key growth stage, supporting the expansion of AI initiatives led by the Data Delivery Group, with a focus on real-world, scalable outcomes rather than experimentation. This role offers the opportunity to work on AI solutions that are already in production, with a clear focus on scaling delivery and driving measurable outcomes.
As a Data Scientist, your main responsibilities will be to:
- Develop and deploy machine learning models into production environments.
- Translate prototypes into scalable, production-ready systems.
- Design, build and maintain infrastructure to support training, deployment and scaling of ML models.
- Prepare and analyse large datasets to support model development.
- Extract relevant insights and features from complex datasets.
- Build and maintain data pipelines to support model development and deployment.
- Evaluate model performance using appropriate metrics and optimise for accuracy and efficiency.
- Monitor models in production and take corrective action where required.
- Act as a technical contributor to AI discovery, planning and delivery activities.
Essential:
- Strong Python experience applied to real-world machine learning problems.
- Additional programming languages such as R or Java beneficial.
- Knowledge of machine learning algorithms and frameworks (eg TensorFlow, PyTorch).
- Experience working with large datasets, data manipulation and analysis tools.
- Familiarity with statistical analysis and data visualisation techniques.
- Experience with cloud platforms (eg AWS, Azure).
- Experience working in Agile teams.
- Strong communication skills and ability to engage non-technical stakeholders.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident
As a member of the Disability Confident Scheme, UKRI guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply.
Armed Forces Commitment
UKRI guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group.
Data Scientist in Swindon employer: Alexander Mann Solutions - Public Sector Resourcing
UKRI is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Data Scientists looking to make a tangible impact in the AI landscape. With a focus on employee growth, UKRI offers opportunities to work on cutting-edge projects while supporting diversity through initiatives like the Disability Confident Scheme and Armed Forces Commitment. The remote working flexibility, combined with occasional travel to the Swindon office, ensures a balanced work-life environment, making it an attractive choice for professionals seeking meaningful and rewarding employment.
Contact Details:
Alexander Mann Solutions - Public Sector Resourcing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at UKRI. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll need to engage with non-technical stakeholders too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your Python experience and any machine learning projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific examples of machine learning models you've developed or deployed. Talk about the impact they had and how you tackled challenges. This helps us understand your hands-on experience in real-world scenarios.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to technical details!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Alexander Mann Solutions - Public Sector Resourcing
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning algorithms and frameworks like TensorFlow and PyTorch. Be ready to discuss how you've applied these in real-world scenarios, especially when it comes to deploying models into production.
✨Show Off Your Python Skills
Since strong Python experience is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and analysis.
✨Talk Data Pipelines
Be prepared to discuss your experience with building and maintaining data pipelines. Highlight any specific tools or cloud platforms you've used, like AWS or Azure, and how they helped streamline your ML processes.
✨Engage Non-Technical Stakeholders
Strong communication skills are key, so think about examples where you've successfully engaged with non-technical stakeholders. Prepare to explain complex concepts in simple terms, as this will show your ability to bridge the gap between tech and business.
