Analytics Product Manager

The Role

Location: Bristol-Hybrid

Duration: 6 month Fixed Term Opportunity 

Join a truly inclusive and forward‑thinking global FMCG business. At Imperial Brands, our 25,000 talented colleagues are united by a shared commitment to innovation and collaboration. We’re now looking for an Analytics Project Manager to play a key role in shaping how data informs decisions across our commercial and marketing teams.

In this impactful role, you’ll develop advanced analytical models, translate complex data into clear, actionable insights, and help evolve the tools that power our data‑driven future. Working with a high degree of autonomy, you’ll apply statistical and machine learning techniques to build solutions that are robust, scalable, and closely aligned with business needs.

Principle Accountabilities

• Develops, maintains, and enhances statistical and machine‑learning models to address commercial and operational challenges.
• Collaborates with data engineering teams to ensure robust data pipelines, high data quality, and effective model deployment.
• Applies strong data governance principles and promotes the ethical use of AI across all analytical work.
• Uses platforms such as Azure and Databricks to build, test, and run data‑science solutions.
• Translates analytical insights into clear, actionable recommendations for commercial, marketing, and other business teams.
• Works closely with stakeholders to define analytical needs, improve internal tools, support junior colleagues, and ensure model‑driven features are intuitive and user‑focused.

Skills and Experience Required

• Extensive experience in data science, machine learning, and applied statistics.
• Strong proficiency in Python, with practical knowledge of key machine learning frameworks.
• Hands-on experience working in cloud environments such as Azure and Databricks.
• Proven ability to manage, process, and analyse large and complex datasets.
• Effective communicator, able to clearly present insights and explain technical concepts.
• Solid understanding of data engineering practices, data governance, model validation, and ethical AI principles, with a strong analytical and problem‑solving mindset.

What We Offer

In return for playing your part in building our future, you will receive a comprehensive compensation package with salary, bonus scheme and further benefits as well inspiring places to work and collaborate with purpose. Here at Imperial we will give you the opportunity to grow and learn, innovate at pace and be a part of our purpose to forge a path to a healthier future for moments of relaxation and pleasure for our consumers.

Everyone Belongs

Everyone belongs in Imperial. We are proud of being a truly inclusive organisation. We encourage and welcome applications from people of all ages, genders, ethnicities, nationalities, disabilities, sexual orientation, religions or beliefs and of neuro divergence. We give fair and equal consideration to all our applicants. Please contact us at recruitment@impbrands.com to let us know if we can provide support in helping you complete an application and/or attend an interview.

About Us

We're a truly international company, fourth largest in our industry and operating across 120 markets. An inclusive, innovative global FMCG business supported by 25,000 employees. As we embrace a new era of growth, we are transforming. Our ways of working and culture are driven by a challenger mindset, constantly questioning the status quo where people can bring their best selves to work. Our agility and collaboration are driving our ambitions, innovation and success all supported by our award-winning development programmes that creates exciting and rewarding career opportunities for all.  Encouraging inclusion at local levels and supporting a developing and robust diversity agenda globally, we’re fully committed to creating and maintaining an environment that celebrates and respects difference.

As a matter of policy, Imperial Tobacco or its subsidiaries never requests or requires payment as part of any recruitment process.

Everyone Belongs