Senior Decision Scientist 199646

Senior Decision Scientist

Brighton (Hybrid) | £90,000 Base Salary

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.

The Company

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.

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.

The Role

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.

Key responsibilities include:

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• Understanding complex business and product challenges through data analysis.
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• Identifying, sizing and prioritising commercial opportunities.
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• Conducting product analytics to improve customer experiences and business performance.
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• Defining success metrics and building frameworks for measuring impact.
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• Designing, implementing and analysing A/B tests and experimentation programmes.
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• Supporting product teams with insight-driven decision making.
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• Delivering data storytelling and recommendations to senior stakeholders.
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• Collaborating across analytics, data engineering and data science disciplines.
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• Leveraging AI tools and emerging technologies to enhance analysis and product development.
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• Contributing to a growing data community and helping shape best practice.
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Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features.

Your Skills & Experience

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• Strong experience turning data into commercial recommendations and business outcomes.
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• Excellent stakeholder management skills with the ability to influence decision-making.
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• Experience working within product, digital, e-commerce or technology environments.
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• Strong analytical capability, including SQL and relevant analytical tooling.
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• Experience designing and evaluating experiments, including A/B testing and statistical analysis.
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• Commercially minded with the ability to balance rigour and pace.
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• Comfortable working through ambiguity and solving open-ended business problems.
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• Interest in AI, machine learning and emerging technologies.
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• Ability to communicate complex findings clearly to both technical and non-technical audiences.
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• Experience with product analytics, opportunity sizing and performance measurement.
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Applications are also welcomed from candidates with strengths across either of the following areas:

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• Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification.
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• Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products.
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What They Offer

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• Significant investment in Data & AI capabilities.
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• Opportunity to help shape a growing team expanding from 10 to approximately 16 people.
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• Dedicated learning and development support.
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• Long-term career progression as the Data & Analytics function continues to scale.
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• Exposure to cutting-edge AI, experimentation and product development initiatives.
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• Collaborative, high-performing and commercially focused culture.
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How to Apply

If you're passionate about using data to influence product strategy, solve complex business challenges and deliver measurable impact, please apply today.