

Head of Data Science and AI
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Head of Data Science and AI on a 12-month contract, hybrid in Somerset, paying £1200 per day Inside IR35. Requires active SC Clearance, expert knowledge in data science, machine learning, and programming (Python, R, C++).
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
1200
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🗓️ - Date discovered
June 14, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Yes
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📍 - Location detailed
Taunton, England, United Kingdom
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🧠 - Skills detailed
#Deployment #Data Analysis #Python #Deep Learning #Programming #Mathematics #Monitoring #ML (Machine Learning) #Statistics #Base #C++ #Clustering #Datasets #Automation #AI (Artificial Intelligence) #Leadership #A/B Testing #R #Data Science
Role description
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Job Description
12 month contract within the public sector
Hybrid working (3 days per week onsite) - Somerset base
• 1200 per day Inside IR35
Active SC Clearance Required
Head of Data Science and AI
Our public sector client is looking for a Head of Data Science and AI to join them to lead a team of data scientists and work with the team and stakeholders to build team capability and skills, ensure clear team objectives, and support with successful project delivery.
Skills And Experience
• Expert level knowledge of data science and machine learning, including a range of different techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering), and deep learning. Knowledge of generative AI is desirable.
• Expert level of knowledge of statistics, applied mathematics and scientific analysis, with demonstrable experience of using a variety of techniques to deliver organisational benefits
• Expert level knowledge of exploratory data analysis and statistical analysis of large datasets.
• Practitioner knowledge of Machine Learning Ops and A/B testing different models
• Practitioner knowledge of responsible and ethical AI practices
• Practitioner skills in a scientific programming language such as Python, R, C++.
Day to Day
• Delivering efficiency and customer benefits using data science and AI
• Strategising on the responsible use of data science and AI for automation or new insights
• Working with stakeholders to prioritise data science, AI and automation projects
• Driving operationalisation of data science and machine learning by guiding on effective experimentation, deployment of solutions, monitoring of performance, and scaling
• Team leadership and development for a team of data scientists, including technical and project guidance
• Line management of Principal Data Scientists and setting objectives for the data science team
Next Steps
Please apply with your up to date CV for more information
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