Data Scientist / Migration + Databricks

The Data Scientist will apply critical thinking and data science techniques to support a range of outputs, including product development, live services, consultancy, marketing optimisation, digital behaviour analysis, and policy research. They will use statistical analysis and machine learning to unlock the value of UCAS’ data assets.

Reporting to the Principal Data Scientist, you’ll help deliver high-quality products and insights, championing excellence and innovation in data science. You’ll bring curiosity and a customer focus, clearly communicating your work across the business and externally.

You’ll also support the Data Science Strategy Lead in migrating 70+ products to Databricks using Python. This includes prioritising tasks, embedding rigorous testing, and collaborating with data teams to ensure smooth delivery of descriptive and predictive analytics.

• Explore and analyse data using visualisation, statistical methods, and machine learning to generate insights

• Deliver high-value analytical products and services to time and quality

• Support live products and drive continuous improvement through analytics

• Work collaboratively using agile methods and manage workload to sprint goals

• Use initiative to deliver workstreams effectively and contribute to innovation

• Re-platform products and improve automation and efficiency

• Present insights to internal and external stakeholders

• Coach peers and junior data scientists, sharing best practices

Skills, qualifications, and experience

• Bachelor’s degree (or higher) in a numerate discipline, such as mathematics, statistics, computer science, operational research, data science, or a related field, or be able to demonstrate knowledge and work experience to an equivalent level

• Good working knowledge of programming in Python and/or R (or equivalents) and the ability to write readable, efficient code

• A collaborative nature and the ability to communicate effectively with both technical and non-technical audiences

• A natural curiosity and drive to find things out that really matter from data

• Commercially aware and user-focussed, alongside a high level of numerate, analytical, and logical thinking

• Proven experience of developing, testing, and deploying statistical, numerical and/or machine-learning models

• Experience of coaching peers or junior members of staff

Pacakge

• Purpose-driven work in a charity-led organisation connecting people to education and opportunity
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  Internal training, mentoring, and access to industry-recognised certifications through our development academies
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  Hybrid working model built on trust and flexibility, with a 35-hour week and flexible contracts
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  30 days annual leave, 3 concessionary days over Christmas, bank holidays, and the option to purchase additional leave
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  Everyday wellbeing support through Perkbox, offering discounts and wellness tools

• Onsite facilities including a subsidised gym, café, and free parking at our Cheltenham office

• Inclusive culture supported by employee networks, wellbeing champions, and Mental Health First Aiders

How to apply

Please visit our website by clicking on the Apply Now button to see vacancies and to download and complete our application form.