Insights Tech Lead

About Reward
Reward, part of the Rezolve Ai Group, is transforming the way people, banks, brands and retailers connect through everyday commerce.

Operating across 15+ markets throughout the UK, Europe, the Middle East and Asia, Reward sits at the intersection of banking and commerce, connecting financial institutions and retailers through technology, transaction intelligence and digital engagement.

Our platform helps banks deliver more relevant and rewarding experiences to millions of customers, while enabling brands and retailers to reach valuable audiences, drive measurable sales and build lasting loyalty.

Since our beginnings, we’ve had a simple mission: to make everyday spending more rewarding. To date, we’ve returned billions in cashback to consumers and continue to innovate how people engage with brands through their everyday spending.

In 2026, Reward became part of Rezolve Ai, a global AI-powered commerce and payments technology company. Together, we’re combining Reward’s transaction intelligence, customer engagement capabilities and commerce network with Rezolve Ai’s technology to create smarter, more personalised journeys from discovery and engagement through to transaction and loyalty.

This is an exciting time to join Reward. We’re an established, growing business with the technology, partnerships and expertise to make a real impact, combined with the ambition and opportunity that comes from being part of a global AI commerce organisation.

Our people are at the heart of that journey. We’re proud to be Great Place to Work® certified and recognised among the UK’s Best Workplaces™ Top 50 for 2026, reflecting a culture built around trust, inclusion, collaboration and putting people first.

We’re shaping the next generation of commerce and customer engagement - and we’re looking for people who want to help us build it.

Role Summary
Working within the Insight Solutions group, the Insights Tech Lead is a hands-on technical leader responsible for identifying, designing and delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability.

Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve real business problems. Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams.

The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical processes and enable Reward to deliver best-in-class client insight at scale.

Responsibilities

• Identify opportunities to improve Reward's analytical capability through automation, configurable solutions and innovative technical products.
• Design, build and validate proof-of-concept applications and data products that solve business and commercial challenges.
• Rapidly prototype new analytical capabilities using modern engineering techniques, cloud technologies and AI tooling.
• Work closely with Insight Solutions to embed successful solutions into analyst workflows and maximize business benefits.
• Partners with Engineering and Data Product teams to transition successful proof-of-concepts into scalable production solutions.
• Champion the adoption of AI, automation and modern engineering practices across the Insight function.
• Reduce manual effort by developing reusable frameworks, configurable analytical products and scalable automation.
• Translate business requirements into robust technical solutions that improve the quality, consistency and speed of insight delivery.
• Ensure all technical solutions meet high standards of accuracy, maintainability, usability and performance.
• Evaluate emerging technologies and identify opportunities to enhance Reward's analytical capability and internal tooling.
• Promote engineering best practice, technical documentation and knowledge sharing across teams.
• Act as the technical authority within Insight Solutions, providing guidance on solution architecture, AI adoption and engineering approaches while collaborating closely with Engineering and Data Product teams.

Why Reward
This is an exciting time to join Reward as we continue to grow as part of the Rezolve Ai Group. You'll have the opportunity to work in a fast moving, technology led environment, collaborate with talented people across our international business and make a tangible impact in your role.

You'll have the opportunity to learn, grow and shape how we work, while being part of a culture that values collaboration, inclusion, curiosity and getting things done.

Requirements

Experience 

• Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline.
• Proven experience developing enterprise analytical solutions, automation and reusable technical products.
• Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption.
• Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions.
• Experience identifying opportunities to improve operational efficiency through technology and automation.
• Experience working with AI technologies to accelerate software development and business capability is highly desirable.

 Skills & Competencies

1. Essential
   • Expert Python development for data, analytics and automation. 
   • Advanced SQL (Amazon Redshift, T-SQL) and data modelling. 
   • Expert Power BI development, including semantic models and Power BI Service administration. 
   • Experience building scalable data products and analytics solutions. 
   • Strong software engineering practices (OOP, testing, Git, documentation). 
   • Experience with Docker, AWS and/or Google Cloud Platform. 
   • Experience integrating REST APIs and multiple data sources. 
   • Understanding of modern analytics engineering and scalable solution architecture. 
   • Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock). 
   • Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments. 
   • Excellent problem-solving, communication and stakeholder management skills.
2. Desirable
   • Experience developing internal developer tools or self-service analytical products.
   • Experience with CI/CD pipelines.
   • Experience with modern JavaScript frameworks such as React.
   • Experience working within agile product or engineering teams.
   • Experience mentoring technical colleagues and promoting engineering best practices.
   • Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability.

Outlook

• Naturally curious with a passion for emerging technology and innovation.
• Pragmatic, delivery-focused and comfortable working with ambiguity.
• Commercially minded with a focus on solving real business problems.
• Collaborative and approachable, with a desire to enable others through technology.
• Passionate about continuous improvement, automation and building scalable solutions.

Benefits

• Annual Leave: 25 days + bank holidays
• Ability to buy and sell holiday days as well as the ability to bank days (tenure dependant)
• Flexible working options: we are operating a hybrid working model with 3 days a week from the office
• Pension: Hargreaves Lansdown up to 6% matched contribution
• Generous family friendly cover
• Private healthcare - Bupa
• Income protection
• Critical illness cover
• Life insurance cover
• Dental cover
• Optical cover
• Yulife app for access to employee wellbeing and discounts
• Perks at Work, cashback/discount shopping site
• Employee referral scheme
• Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
• Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
• Team socials

Equal Opportunities
At Reward, we are committed to creating an inclusive and diverse workplace where everyone is valued, respected and given the opportunity to thrive.

We are an equal opportunities employer and welcome applications from candidates of all backgrounds, experiences and perspectives. Recruitment and employment decisions are based on skills, experience, capability and potential, and we do not discriminate on the basis of any protected characteristic.

We are committed to ensuring our recruitment process is fair, accessible and inclusive. We will consider reasonable adjustments for candidates who require additional support during the recruitment and selection process.

We believe that diversity of thought, background and experience strengthens our teams and helps us build a better Reward.