Head of Data Science & Analytics

Opus Recruitment Solutions
Greater London
1 month ago
Applications closed

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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!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science, Engineering, and Information Technology

Industries

Software Development and Technology, Information and Media

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