11 of 11 Data Science Jobs in Birmingham

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part … completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take ...

Data Science Trainee – No Experience Needed Build a future-proof career in Data & AI – starting today. Artificial Intelligence runs on data — and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially … rewarding? Or maybe you're ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst. Most candidates secure their first role within 1-3 months of qualifying ...

dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making … unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead ...

known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‐ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will … joining a growing team with significant influence on its future direction. The Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams ...

Title: Data, Analytics & AI Governance Specialist (Palantir Foundry) Job Type: - Location: London - Hybrid Data, Analytics & AI Governance Specialist (Palantir Foundry) Role Overview We are seeking a Data, Analytics & AI Governance Specialist with proven experience in Palantir Foundry. You will establish and enforce governance frameworks for data, analytics, and AI initiatives, ensuring compliance, data quality, ethical AI, and risk mitigation within the Palantir Foundry environment. Key Responsibilities Develop and implement governance frameworks and policies for data, analytics, and AI in Palantir Foundry. Define and enforce data quality, security, privacy, and ethical standards ...

Head of AI & Data – Chief Data Office London – Hybrid | £140,000 - £150,000 + up to 45% bonus + 15% car allowance VIQU is recruiting a Head of AI & Data to build and lead the UK AI capability from the ground up. This is a hands … strategic leadership role within the Chief Data Office, reporting into the Director and working closely with both UK and global stakeholders. The role offers the opportunity to define AI strategy, build a Centre of Excellence, and deliver impactful data-driven initiatives across the business . Key Responsibilities Develop ...

Location: Birmingham, Leeds, London, Manchester, Reading, Lanarkshire Virgin Media O2 is transforming how it uses data to run the business. Across pricing, network operations, customer care, and personalisation, we are building the products and services that help the company make better decisions, faster. As a Staff Software Engineer … natural instinctfor developing the people around you, through pairing, constructive feedback, and leading by example. The other stuff we are looking for Experience with data-heavy applications, whether that’s ETL/ELT pipelines, data lakes, or working alongside data science and ML teams. Confidence working ...

decision support. Design, evaluate, and optimize deep learning architectures for applications such as computer vision, natural language processing, and speech analytics. Collaborate with data scientists, software engineers, and business stakeholders to deliver scalable and effective AI solutions. Guide the selection of appropriate AI models, frameworks, datasets, and deployment strategies ...

approaches including CNNs, Transformers, GANs, and other modern architectures. Oversee model training strategies, including dataset selection, augmentation approaches, and performance optimization techniques. Collaborate with data scientists, engineers, and product teams to translate business needs into AI-driven solutions. Evaluate model performance using key metrics and provide strategic recommendations ...

organisation. THE COMPANY They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms. THE ROLE … remaining highly hands-on. Specifically, you can expect to be involved in the following: Leading the ML Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. ...

develop effective and scalable machine learning applications. Evaluate model outputs, prediction accuracy, and overall performance using dashboards, reports, and AI monitoring metrics. Collaborate with data scientists, engineers, business analysts, and stakeholders to guide machine learning development and deployment initiatives. Select appropriate datasets and ensure data quality, relevance, completeness … consistency for AI-driven applications. Apply data labeling techniques, augmentation strategies, and model optimization processes through AI-powered tools and platforms. Monitor deployed AI and machine learning systems, analyzing performance trends and recommending improvements or retraining activities. Ensure ethical and responsible AI usage by promoting fairness, transparency, explainability, privacy ...