Harnham is a recruitment firm specializing in data and analytics roles across various sectors, including SaaS, fintech, digital entertainment, and insurance. They help organizations build and scale their data science and AI capabilities, focusing on innovation and technical excellence.
This role involves working within a growing analytics function, supporting cloud-based solutions, and collaborating on diverse digital, marketing, and data science projects. You will gain exposure to major brands, work with a supportive senior leadership team, and be continually upskilled in a modern cloud environment.
This role involves identifying high-impact opportunities to apply AI and advanced analytics, leading technical workstreams, and embedding solutions directly into client operations. You will work closely with multi-disciplinary teams, translating complex technical concepts into actionable insights and mentoring colleagues to shape best practices.
This role involves leading data science projects from problem identification to deployment, working closely with clients in sectors like public sector, defence, and commercial markets. Responsibilities include shaping technical solutions, managing teams, and translating complex concepts for non-technical stakeholders.
As a Product Data Scientist, you will own and drive product analytics, focusing on user behavior and personalization. You will deliver actionable insights that influence product strategy and experimentation, build and maintain dashboards to track performance, and partner with stakeholders to communicate insights effectively. This role offers the opportunity to shape commercial and product decisions in a fast-growing, PE-backed consumer technology business.
This role involves leading the design and implementation of AI, analytics, and digital solutions for complex public and private sector clients. You will identify opportunities, lead technical workstreams, and collaborate with client teams on-site across the UK, translating technical concepts for non-technical stakeholders and supporting the development of colleagues.
This role involves building and fine-tuning LLMs and NLP models for financial services, including conversational AI and data assistants. You will work on ML pipelines, model evaluation, and production-ready code, collaborating with engineers and guiding mid-level Data Scientists.
As a Product Data Scientist, you will work closely with cross-functional teams to analyze user behavior, design experiments, and build dashboards that drive product strategy and decision-making. Your role involves deep-dive analyses, data storytelling, and ensuring data consistency across the organization, all while supporting a culture of continuous improvement and innovation.
This role involves leading analytical work across experimentation, causal inference, and incrementality, building predictive models, and delivering BI and reporting projects using cloud-based data and dbt pipelines. You will work closely with data scientists to deploy models into advertising platforms, mentor analysts, and contribute to the technical development of the team.
This role involves developing and optimizing credit risk and fraud analytics, building predictive models and rules using Python and SQL, and supporting bespoke insurance and risk solutions for complex merchant portfolios. You will work closely with data, product, and commercial teams to deliver high-impact solutions in a fully remote, international fintech environment.
As an AI Engineer, you will be the first dedicated hire focused on expanding and scaling AI across the organization. Your key responsibilities will include designing and building AI solutions for customer analytics, affordability, collections, and payments, as well as developing generative AI and LLM use cases. You will also create internal AI tools, support governance, and collaborate with engineering teams to modernize legacy systems and embed AI into core platforms.
