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Opus Recruitment Solutions

Head of Data Science & Analytics

Full-Time No home office possible

Head of Data Science and Analytics Opportunity!

Position: Head of Data Science and Analytics

Location: Hybrid – London Office

We have an exciting opportunity for you to drive innovation and lead data science and analytics initiatives during a transformative period of growth!

The Company: Recently acquired by a dynamic private equity firm, the company is entering an exhilarating phase of expansion and innovation. This is your chance to be part of a company that\’s poised to revolutionize the retail tech industry!

Key Responsibilities:

Lead and mentor project teams in developing comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, creating end-user reports, and documenting models.
Oversee and guide customer analytics projects, including segmentation and churn analysis, to drive strategic business insights.
Strategically develop and optimize propositions for services such as credit and warranties, ensuring alignment with business goals.
Direct and enhance product and range analytics efforts, including range optimization, to maximize business performance.
Develop and implement a generative AI strategy to leverage the latest advancements in AI for innovative solutions.
Collaborate with senior leadership to develop and execute detailed plans for solution delivery, ensuring alignment with organizational objectives.
Build and maintain strong relationships with business stakeholders, ensuring their requirements are met and fostering a collaborative environment within the data science and analytics community.

About the Team: Our data science and analytics teams provide critical analysis for various departments, including Commercial, Marketing, Operations, and Product teams. We are committed to continuous learning and staying up-to-date with the latest developments in data analytics.

What You\’ll Need:

Extensive expertise in advanced analytics, including AI, machine learning, optimization, simulation, predictive analytics, and advanced statistical techniques.
Proven experience in developing and implementing generative AI solutions and strategies.
Exceptional problem-solving skills with the ability to break down complex problems and identify key performance drivers.
Outstanding communication skills to effectively convey data insights to various functions at all levels of the business.
Deep proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects.
A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.
Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure.
Experience with Databricks and working with large amounts of data.

Ready to lead and innovate in the field of data science and analytics? Apply now and join a team that\’s shaping the future of retail!