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.
The Senior Product Analyst will lead data science efforts for a core product domain, driving deep analytics to uncover growth opportunities and improve user engagement. They will design and interpret experiments, influence product strategy, and collaborate closely with ML teams on personalisation and ranking initiatives.
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.
This role involves leading the development and implementation of AI and machine learning strategies to enhance personalisation and intelligent guidance across a consumer fintech platform. You will work closely with engineering, data, and design teams to identify opportunities, define requirements, and drive the integration of AI into the customer journey, with significant autonomy and strategic impact.
This role involves leading and delivering hands-on data modelling across complex financial services programmes, designing relational and dimensional models, and defining modelling frameworks and standards. You will work closely with senior stakeholders, contribute to ETL design, and manage metadata and data lineage. At the Principal level, you will also provide thought leadership and support client-facing activities.
This role involves designing and maintaining modern data infrastructure on AWS, supporting machine learning systems and real-time decision making. You will work closely with Data Science, Engineering, and Product teams to build scalable data pipelines, optimize data warehouses, and integrate new data sources. The position offers high ownership and the chance to influence how data is used across the organization as it grows.
As a Data Engineer, you will play a key role in shaping the company's data infrastructure, focusing on large-scale data pipelines and real-time analytics. You will work closely with Data Science and Platform Engineering to build and maintain cloud-based data systems, ensuring they are reliable and ML-ready.
As a Data Engineer, you will design and manage data ingestion pipelines, build and maintain data preparation pipelines for machine learning and analytics, and work closely with Data Science and Platform Engineering to productionise models and improve data foundations. You will play a key role in shaping the company's data infrastructure, enabling large-scale machine learning and real-time analytics that directly impact their customers.
As a Senior Data Scientist, you will focus on pricing and customer selection for car and van insurance, building and deploying predictive models using large, messy datasets. You will work closely with a small, collaborative team, providing technical leadership and mentoring a graduate data scientist while collaborating with pricing, risk, and product stakeholders to influence pricing strategy.
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.
This role involves designing, training, and deploying AI and ML models on complex, large-scale data. You will work closely with the engineering team to build and productionize new AI features, focusing on GenAI solutions and integrating models into user-facing features. The team values transparency, curiosity, and speed of execution, and you will have the opportunity to work with the latest AI tools and techniques in a fully remote, collaborative environment.
