Data Science Lead

Unlock the power of data to solve complex business challenges and shape strategic decision-making. As a Data Scientist, you will have the opportunity to turn data into actionable insights, develop innovative analytical solutions, and influence outcomes across the organisation through advanced analytics, machine learning, and predictive modelling.

Working within an inclusive, innovative global FMCG business supported by 25,000 employees, you will collaborate closely with business and technology stakeholders to identify opportunities, uncover trends, and deliver data-driven solutions that create meaningful business value. This is an exciting opportunity for someone who is passionate about combining analytical thinking, scientific curiosity, and cutting-edge data techniques to drive innovation and make a tangible impact.

Principle Accountabilities

• Develop, test, and deploy advanced machine learning models, algorithms, and analytical solutions to identify patterns, uncover insights, and solve complex business challenges.
• Translate business requirements into data science solutions, ensuring analytical initiatives align with strategic objectives and support executive decision-making.
• Research, implement, and continuously enhance data science, machine learning, deep learning, and AI capabilities, contributing to the development of technical architecture and best practices.
• Establish robust model evaluation, validation, and monitoring frameworks, ensuring machine learning and Generative AI solutions are explainable, traceable, scalable, reliable, and capable of delivering measurable performance.
• Communicate and document data science outcomes effectively, presenting actionable insights to business and technology stakeholders, and maintaining comprehensive documentation.
• Support the wider data ecosystem, collaborating on data preparation and ETL activities where required.

Skills and Experience Required

• Demonstrable professional experience in data science, machine learning, or analytics.

• Proficiency in Python, SQL, and statistical analysis tools.

• Strong knowledge of machine learning algorithms and statistical methods.

• Experience working with large-scale datasets and data visualization tools.

• Strong communication and stakeholder management skills.

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.