Senior Decision Scientist 199646
12 days ago
Brighton
Senior Decision Scientist \n Brighton (Hybrid) | £90,000 Base Salary \n This is an exciting opportunity to join a growing Data & Analytics function at a business that is placing data and AI at the heart of its strategy. As a Senior Decision Scientist, you'll help shape how data is used to drive commercial decisions, improve product experiences, and influence long-term business outcomes. You'll join at a pivotal time as the organisation evolves its data capability and scales a high-impact team. \n The Company \n They are a fast-growing, product-led technology business operating internationally, with data and AI playing a central role in their future growth. The organisation has invested heavily in building strong data foundations, creating a mature analytics environment and fostering a culture of experimentation and innovation. \n As they continue to scale, they are transforming their data function from a centralised model into embedded product teams, creating greater proximity between data professionals and business decision-making. This is a highly collaborative environment where commercial impact is valued as much as technical excellence. \n The Role \n As a Senior Decision Scientist, you will work closely with Product Managers, Engineers, Designers and senior stakeholders to identify opportunities, influence strategy and deliver measurable business impact. \n Key responsibilities include: \n\n • Understanding complex business and product challenges through data analysis.\n, • Identifying, sizing and prioritising commercial opportunities.\n, • Conducting product analytics to improve customer experiences and business performance.\n, • Defining success metrics and building frameworks for measuring impact.\n, • Designing, implementing and analysing A/B tests and experimentation programmes.\n, • Supporting product teams with insight-driven decision making.\n, • Delivering data storytelling and recommendations to senior stakeholders.\n, • Collaborating across analytics, data engineering and data science disciplines.\n, • Leveraging AI tools and emerging technologies to enhance analysis and product development.\n, • Contributing to a growing data community and helping shape best practice.\n\n Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features. \n Your Skills & Experience \n\n • Strong experience turning data into commercial recommendations and business outcomes.\n, • Excellent stakeholder management skills with the ability to influence decision-making.\n, • Experience working within product, digital, e-commerce or technology environments.\n, • Strong analytical capability, including SQL and relevant analytical tooling.\n, • Experience designing and evaluating experiments, including A/B testing and statistical analysis.\n, • Commercially minded with the ability to balance rigour and pace.\n, • Comfortable working through ambiguity and solving open-ended business problems.\n, • Interest in AI, machine learning and emerging technologies.\n, • Ability to communicate complex findings clearly to both technical and non-technical audiences.\n, • Experience with product analytics, opportunity sizing and performance measurement.\n\n Applications are also welcomed from candidates with strengths across either of the following areas: \n\n • Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification.\n, • Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products.\n\n What They Offer \n\n • Significant investment in Data & AI capabilities.\n, • Opportunity to help shape a growing team expanding from 10 to approximately 16 people.\n, • Dedicated learning and development support.\n, • Long-term career progression as the Data & Analytics function continues to scale.\n, • Exposure to cutting-edge AI, experimentation and product development initiatives.\n, • Collaborative, high-performing and commercially focused culture.\n\n How to Apply \n If you're passionate about using data to influence product strategy, solve complex business challenges and deliver measurable impact, please apply today.