7 of 7 Remote/Hybrid Data Science Jobs in Birmingham

Lead Data Engineer Up to £100,000 - Remote An exciting opportunity has arisen for a Lead Data Engineer to join a high-growth, venture-backed AI technology company developing innovative solutions for major enterprise clients. As a Lead Data Engineer, you will play a pivotal role … shaping the organisation's data architecture and engineering capabilities. Working closely with product, engineering, data science and leadership teams, you will take ownership of designing and building scalable data platforms that underpin advanced analytics, machine learning and AI-powered solutions. This position offers the opportunity ...

Lead Data Engineer Remote UK - £110,000 + Share Options + Private Medical Insurance A high-growth, venture-backed AI technology company is looking for a Lead Data Engineer to play a pivotal role in shaping the future of its data, analytics and AI capabilities. This … opportunity to join an innovative organisation delivering cutting-edge AI-powered solutions to major enterprise clients, helping transform complex data into meaningful business intelligence. The Opportunity This is a senior, hands-on position offering significant technical ownership and influence. Working closely with product, engineering, data science ...

components, and create reusable patterns that accelerate delivery of high-value use cases. Your work will directly influence how AI is embedded into the data, knowledge and process layers of the enterprise, ensuring solutions are robust, compliant and commercially viable. Key Responsibilities: Architect end-to-end AI solutions across … data, knowledge and process layers, covering internal business processes, reporting, frontline operations and customer experience. Design and deliver proof-of-concept AI solutions that validate target architectures, use cases and reusable patterns at enterprise scale. Define and document AI solution blueprints, including integration patterns for APIs, microservices, orchestration ...

components, and create reusable patterns that accelerate delivery of high-value use cases. Your work will directly influence how AI is embedded into the data, knowledge and process layers of the enterprise, ensuring solutions are robust, compliant and commercially viable. Key Responsibilities: Architect end-to-end AI solutions across … data, knowledge and process layers, covering internal business processes, reporting, frontline operations and customer experience. Design and deliver proof-of-concept AI solutions that validate target architectures, use cases and reusable patterns at enterprise scale. Define and document AI solution blueprints, including integration patterns for APIs, microservices, orchestration ...

Senior Data Scientist, MMM £70,000 - £90,000 Fully Remote This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you'll play a pivotal role in understanding what genuinely drives growth and where … strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

take ownership of the full model lifecycle from identifying the problem and building models through to deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models … including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring frameworks and performance dashboards Explore new data sources, challenger models and A/B testing to improve decisioning Turn complex analysis into clear, commercially focused insights Work closely with both technical and senior business stakeholders ...