At a Glance
- Tasks: Lead a team in developing AI models and delivering data-driven insights.
- Company: Join a leading client known for innovation and excellence in data science.
- Benefits: Attractive salary, 30% bonus, and excellent benefits package.
- Other info: Enjoy a dynamic role with opportunities for professional growth and development.
- Why this job: Make an impact by managing cutting-edge data science projects in a hybrid work environment.
- Qualifications: Experience in data science, team management, and proficiency in Python and machine learning.
The predicted salary is between 78000 - 91000 £ per year.
Data Science Manager / Hands on / Team Management / People Management / AI Models / Coding / Insights / Data Visualisation / Statistical and Probabilistic Analysis / Programming / ML / Machine Learning / Python / Hybrid Warwickshire / Remote / £78,000 91,000 + 30% bonus + excellent benefits.
One of our leading clients is looking to recruit a Data Science Manager.
Location Hybrid Warwickshire / Remote (1 day per week in Warwickshire office)
Salary £78,000 91,000 + 30% bonus + excellent benefits
You will lead a high-performing team while staying hands-on, delivering impactful projects, building AI models, coding, and turning data into clear, actionable insights.
- Demonstrable experience in Data Science
- Proven ability to lead, mentor, and develop Data Scientists, guiding teams to deliver high-quality, impactful work.
- Strong communication and stakeholder-engagement skills, able to work effectively with end users, peers, and senior leaders.
- Fluency in Data Science techniquesacross statistics, machine learning, and GenAI.
- Strong programming skills in Python and SQL, with the ability to build reliable, scalable solutions.
- Experience working in cloud environmentson Linux and/or Windows platforms (Azure experience is a plus)
- A strong track record delivering thefull lifecycleof Data Science products and projects.
- Experience working withinregulated utility environments.
- Experimental designexperience and a hypothesis-driven mindset.
- Familiarity withinteractive visualisation tools(Power BI a plus).
- Knowledge ofGIS tools, such as ArcGIS
Desirable
Any exposure to highly regulated sectors such as utilities / power / energy / electricity / water / gas / nuclear / financial services / telecoms etc.
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