Senior Decision Scientist 199646

Harnham; Brighton; On-site; GBP 75,000 - 110,000; Full time

Job summary

Harnham is seeking a Senior Decision Scientist to help shape how data drives commercial decisions, product experiences and long-term outcomes. You will partner with Product Managers, Engineers and senior stakeholders to identify opportunities and deliver measurable impact.

In this role you will conduct product analytics, define success metrics, design and analyse experiments including A/B tests, and communicate insights to diverse audiences while advancing AI tooling and data capabilities across

Qualifications

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

Responsibilities

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

Skills

Commercial analytics

Stakeholder management

SQL proficiency

A/B testing

Experiment design

Product analytics

Data storytelling

AI/ML interest

Clear communication

Ambiguity tolerance

Job description

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:

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

Projects may include recommendation engines, customer personalisation, checkout optimisation, fraud reduction, financial process improvement, customer segmentation and AI-powered product features.

Your Skills & Experience

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

Applications are also welcomed from candidates with strengths across either of the following areas:

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

What They Offer

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