Job Title - Head of Data Science
Industry - Automotive
Company Overview
Our client is a fast-growing automotive company based in Wolverhampton, committed to redefining innovation in the industry. With a focus on sustainability, cutting-edge technology, and exceptional customer experiences, they are on a mission to revolutionize the automotive landscape. They are now seeking a visionary Head of Data Science to lead their data-driven strategy and accelerate business growth.
Role Overview
As the Head of Data Science, you will play a pivotal role in shaping the company's data strategy, delivering actionable insights, and driving innovation through advanced analytics and machine learning.
Key Responsibilities
1. Define and implement the company's data science vision and strategy aligned with business objectives.
2. Build, mentor, and lead a high-performing data science team to support diverse business functions.
3. Oversee the development of advanced analytics models and provide actionable insights to optimize business operations, customer experience, and product innovation.
4. Drive the development and deployment of machine learning models to improve predictive capabilities, personalization, and automation.
5. Partner with cross-functional teams, including Product Development, Marketing, and Engineering, to embed data-driven decision-making across the organization.
6. Ensure the integrity, security, and ethical use of data in compliance with regulatory requirements and industry best practices.
7. Stay ahead of industry trends and emerging technologies to ensure the business remains competitive.
Key Requirements
1. Proven experience in a senior data science role, with a strong track record of delivering measurable business impact.
2. Expertise in machine learning, statistical modelling, and advanced analytics techniques.
3. Strong leadership skills with experience building and managing high-performing teams.
4. Excellent communication and collaboration skills, with the ability to translate complex data insights into actionable business strategies.
5. Advanced proficiency in programming languages such as Python or R, and experience with data visualization tools.
6. Solid understanding of data governance, security, and compliance frameworks.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Manufacturing
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