170 jobs found

Data Science Manager Salary: 100K - 120K + bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They are looking for a Data Science Manager to lead a high-performing team of Data Scientists focused on delivering measurable customer and commercial impact. This is a highly visible leadership role sitting at the intersection of data science, customer insight, personalisation, and business strategy. The Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex customer and behavioural data into clear, actionable recommendations. You'll establish best practices across experimentation, customer modelling, MLOps, and data science delivery, while supporting the continued growth of the organisation's customer analytics and AI capabilities. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into production environments If you are looking for a new challenge and want to work in a customer-centric, data-driven environment where your insights directly shape personalisation strategies, customer experiences, and commercial performance, please submit your CV for initial screening and further details. Data Science Manager

We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge, real-world AI solutions across a diverse client portfolio. This is a rare opportunity to build and lead an AI capability from the ground up, while staying hands-on with the latest technologies, from Machine Learning and Data Science through to GenAI. You'll work at the intersection of technical excellence and client impact, solving meaningful business problems at scale. You will get the opportunity to lead the design and delivery of production-grade AI solutions for global clients whilst building and mentoring a high performing team. Alongside this, you will be able to stay hands on with modern AI technologies including LLMs and GenAI What You'll Be Doing Designing, building, and deploying end-to-end AI/ML systems (from classical ML to GenAI) Developing robust, production-ready pipelines covering data ingestion, modelling, deployment, and monitoring Driving best-in-class MLOps practices, including CI/CD, model versioning, automated retraining, and rollback strategies Ensuring solutions are scalable, secure, and high-performing in real-world environments Defining future-proof AI architectures aligned with client goals Assessing and applying emerging technologies (eg LLMs, vector databases) where they create tangible value Partnering with clients during discovery, demos, and delivery-translating business needs into technical solutions Mentoring and developing engineers and data scientists through hands-on leadership What We're Looking For Strong software engineering background (Python essential) Demonstrated success delivering production-ready AI/ML solutions Hands-on experience with frameworks such as PyTorch, TensorFlow, or Scikit-Learn Solid understanding of MLOps and scalable deployment practices Experience with at least one major cloud platform (Azure, AWS, or GCP) Comfortable in client-facing environments, able to communicate complex ideas clearly Consulting experience is not essential, but confidence working with stakeholders, presenting ideas, and guiding decisions is key. Hybrid work model: 2-3 days/week in the office (London) Salary: £100 000 - £120 000 depending on experience + 10-15% bonus

Lead AI & Data Scientist Global Professional Services Firm Location: London Working: Hybrid (3 days office / 2 days remote) Salary: Up to £140k + bonus & benefitsThe RoleA senior leadership opportunity within a global professional services organisation investing heavily in Data & AI.You'll play a key role in shaping and delivering the firm's AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production.This is a hands-on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI-powered solutions that drive measurable business impact.Key Responsibilities Define the technical strategy for Data & AI initiatives across the business Lead the design and delivery of GenAI, NLP, Machine Learning and RAGbased solutions Translate complex business challenges into scalable AI products and capabilities Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants Partner with business, product and engineering teams to embed AI into core processes Evaluate emerging AI technologies and thirdparty vendors Establish best practice around Responsible AI, model evaluation and production deployment Mentor Data Scientists and provide technical leadership across delivery teams Key Requirements Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations Experience building and deploying LLMpowered applications Strong knowledge of RAG, embeddings, vector databases and retrieval architectures Experience with Azure, Databricks and modern cloudbased AI platforms Track record delivering AI solutions into production environments Experience defining governance, monitoring and Responsible AI controls Excellent stakeholder management and communication skills Experience delivering AI solutions across documentheavy environments, particularly legal services, would be advantageous This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise-scale deployment.No sponsorship available.Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of more than 40 million UK citizens . We are committed to user-centred design , agile delivery , and driving innovation in digital services that truly matter. Role Overview We are seeking an experienced Data Engineer to design, build, and maintain data products and a modern Strategic Data Platform . You will work within multi-functional Agile delivery teams , ensuring operational stability, ongoing support, and continuous enhancement of data solutions. This role is ideal for someone with strong Azure data engineering experience , excellent SQL and Python capability, and a passion for building scalable, reliable data platforms in complex environments. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse Manage the full data development life cycle within Agile delivery teams Integrate and automate workflows using Azure DevOps pipelines Develop dimension data models and semantic models to support Power BI analytics Create advanced dashboards, visualisations, and reporting solutions in Power BI Implement robust data governance , profiling, and quality checks to ensure accuracy and compliance Lead the migration of Legacy data systems to modern Azure-based platforms Apply dbt (with SQL databases) for data transformation, modelling, and workflow optimisation Collaborate with business stakeholders to translate requirements into scalable technical solutions Coach and mentor team members to strengthen data engineering best practices Essential Skills & Experience Active SC Clearance (must be valid at time of application) Proven expertise with: Azure Data Factory & Azure Synapse Microsoft Azure & Azure DevOps Power BI (including semantic modelling) Python (including PySpark) and advanced SQL dbt for SQL-based data transformation and modelling Dimension data modelling Terraform (Infrastructure as Code) Experience working with structured and unstructured data Strong background in Agile delivery environments Ability to translate business needs into effective technical solutions Proven experience delivering Legacy migration projects within complex organisations Excellent communication and stakeholder engagement skills Desirable Azure certifications (Data Engineer, Data Scientist, or related) Knowledge of GDPR , data security, and governance best practices Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation . We are committed to creating an inclusive environment where every individual is valued, respected, and supported. We welcome applications from candidates of all backgrounds and actively encourage applications from women, people with disabilities, underrepresented communities , and those seeking flexible working arrangements . As a Disability Confident Level 1 employer , we provide reasonable adjustments throughout the recruitment process and employment to ensure equal opportunity for all.

Senior Data Science Consultant £60k - £70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity Tailored development - Grow your career with personalised learning and development opportunities Person Specification Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.

The Company Able Bridge Recruitment are currently working with a globally renowned carbon conscious manufacturer based in the Highlands of Scotland in the recruitment of an environmental specialist on a permanent basis. Whilst the position is based in the Highlands of Scotland, our client has a significant relocation package on offer Benefits include Generous holiday entitlement Bonus scheme (15%) Pension which is up to 9% contributory Health and dental cover Life assurance x6 of salary Education support grant for each child in university Employee retail discount rewards This vacancy, the result of a long standing employee pursuing a career change and re-training. The position will report into the head of health, safety, quality and environment and will be office based 3 days per week. The Responsibilities The purpose of this role is to support our client in the assurance of the maintenance of compliance with environmental legislation, permits, licences and management system requirements. The role will involve a high level of stakeholder engagement and will be heavily involved in data collection and analysis, incident investigation regulatory submissions and process improvement. On a day-to-day basis you can expect to be responsible for the following; Support the application, variation, amendment and ongoing monitoring of environmental permits, licences, authorisations, consents and exemptions. Monitor compliance with environmental legislation, site permits, regulatory obligations and business management system requirements. Prepare, review and submit environmental data and reports to SEPA, local authorities, statutory bodies and internal stakeholders as required. Provide technical and specialist environmental support to site departments, including advice on environmental controls, permit requirements and improvement actions. Support environmental monitoring and sampling activities, including air emissions, water, waste, land, soil and groundwater where applicable. Analyse environmental data to identify trends, risks, improvement opportunities and potential compliance concerns. Support the development and implementation of environmental management plans, strategies, campaigns, objectives and improvement plans. Act as a focal point for environmental improvement and sustainability initiatives, including carbon reduction, resource efficiency, biodiversity, land management and waste minimisation. Support environmental aspects of site projects, Management of Change, contractor activity and operational changes. Undertake environmental audits, inspections and field checks; record findings, advise responsible managers and track actions to closure. Investigate environmental incidents, near misses and non-conformances, identifying root causes and suitable corrective/preventive actions. Maintain and improve environmental management system documentation, procedures, registers and records. Support ISO 14001, ASI and other internal/external audit and assurance activities. The Requirements We are seeking an experienced environmental scientist who has a strong background in environmental management, environmental sustainability and/or environmental legislation. The ideal candidate will have a degree, HND or similar in either environmental science or chemistry. We are also looking for applicants who have strong analytical skills and who can engage with the wider business in an advisory or investigative capacity. Excellent communication skills in verbal and written form are critical competencies. Strong IT skills are also essential to be considered for this post. Our client does not hold a license to offer study support so will only consider applicants who are able to work unrestricted within the UK and who are based in the immediate vicinity. If you are interested in hearing more detail about this role or would like to have a confidential chat about a potential career move, please do not hesitate in contacting me.

Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.

Develop infrared imaging systems for object detection and characterisation This high-growth startup in the defence and security sector is seeking an experimental physicist to work on infrared detection systems. You will build and operate their experimental systems working on all aspects of the design from sensor selection and optical design through to signal processing and data analysis. Your work will directly translate to the technologies and products of the company, and your insights will shape their future research direction. Requirements: Strong hands-on skills building and troubleshooting optical and electronic systems using infrared sensors or detectors. Specific experience with thermal imaging or Long-wave / Medium-Wave / Short-Wave IR would be beneficial but is not required. Good knowledge of signal processing and data analysis methods in the context of imaging processing and object detection. PhD in Physics (or equivalent commercial experience) supported by a top undergraduate degree in Physics (Oxford, Cambridge, Imperial or equivalent). UK national or previous UK security clearance. This is a defence company, and this role requires applicants to be eligible for UK security clearance. This is a great opportunity to further your career working on technically challenging problems with real-world impact. You ll be working alongside other scientists and engineers developing cutting-edge technologies in a stimulating research environment. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27652 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Role: Data Scientist / Engineer Location: Remote / London - up to 1 day per week on-site Duration: 5 Months Day rate: 560 Inside IR35 Role Overview We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure data integrity Design, build, and maintain reusable data pipelines and datasets using Python and PySpark Develop and test datasets used in BI dashboards and reporting products Work with stakeholders to translate business needs into data solutions and insights Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions Apply modern engineering best practices including CI/CD, TDD, and DevSecOps Engage in pair programming and adhere to collaborative coding standards Essential Skills & Experience Strong hands-on experience with Python and PySpark Solid background in exploratory data analysis and data modelling Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP) Proficiency with BI and data platforms such as Redshift, Databricks, or similar Experience building and validating datasets for dashboards and reporting Strong understanding of data pipelines, data quality, and governance principles Proven ability to work independently in Agile environments Experience collaborating with multidisciplinary teams, including UCD professionals Excellent communication and stakeholder management skills Familiarity with DevSecOps, CI/CD, and TDD practices Experience with pair programming and collaborative development approaches Desirable Skills Experience working within the NHS or wider public sector Familiarity with screening programmes or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60k The Role Joining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling. This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products. The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges. Key Responsibilities Build and deploy pricing, demand, lapse, cross-sell and optimisation models Lead strategic pricing initiatives and deliver tactical solutions to support business performance Partner with Product, Protection and Distribution teams to drive pricing improvements Apply machine learning and statistical techniques to solve complex business problems Communicate technical insights to both technical and non-technical stakeholders Key Requirements Experience within Insurance Pricing Strong Machine Learning and predictive modelling experience Python skills Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.) Understanding of customer behaviour, pricing elasticity and price optimisation Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection) Strong communication and stakeholder management skills No sponsorship available. Get in touch for more details - (see below) McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Are you a Data Scientist who enjoys building real-world models that drive commercial decisions , not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment. The company This is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development . They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions. They've built out a Customer Intelligence Platform , where data science, analytics, and product teams collaborate to create scalable, reusable data products. Where you fit You'll sit within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build predictive models (often propensity modelling / scoring models ) to solve real customer and business problems Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks notebooks Define features, model structures, and scoring outputs for data products Translate analytical outputs into clear, actionable insights and presentations for clients Contribute to the development of scalable, reusable data products within the platform Example project You might build a model that predicts which customers are most likely to repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack Python & SQL (essential) Databricks (core analytics environment) Azure-based data platform (with flexibility depending on client environments) What you bring Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience Nice to have Experience with Databricks or cloud platforms (Azure, etc.) Background in customer, marketing, or transactional data Exposure to industries like telecoms, financial services, or utilities Why this role Work on end-to-end data science projects - not just isolated modelling Strong balance of technical work and commercial impact Opportunity to contribute to product development and innovation Exposure to multiple clients, industries, and use-cases Collaborative team environment with analysts, SMEs, and product teams Working pattern Hybrid: 1 day per week in London Open to candidates based in the Midlands who can commute weekly Additional flexibility for the right candidate UK travel to clients may be required depending on project work

Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid - 3 days weekly from office Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (eg, AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We have partnered with Coforge and are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (eg, GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning

Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -

Senior Data Scientist - Contract £700-£850 per day Inside IR35 Hybrid (1 day per week London) We're looking for a Senior Data Scientist to design and deliver advanced risk and predictive models within complex, highly regulated environments. This role sits at the intersection of analytics, risk, and decision science, focusing on building models that enable organisations to identify emerging threats, quantify risk exposure, and make informed, evidence-based decisions. You'll work across large, complex, and often sensitive data sets to develop modelling frameworks that support real-world, high-impact outcomes. Key responsibilities: Design and develop advanced risk models, including predictive, probabilistic, and scenario-based modelling approaches Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets Build and deploy machine learning models into production, ensuring scalability and robustness Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty Analyse patterns, trends, and outliers to identify emerging threats and risk indicators Translate business and regulatory requirements into practical analytical frameworks Communicate complex findings clearly to technical and non-technical stakeholders Essential experience: Strong Python data science stack (pandas, NumPy, scikit-learn) Proven delivery of complex models (predictive, probabilistic, simulation-based) in real environments Deep experience in risk modelling, including risk scoring frameworks, predictive risk analytics, and scenario modelling Experience in threat detection / anomaly detection, such as fraud, compliance, safety, or security use cases Strong grounding in statistics, hypothesis testing, and experimental design Experience working with large, complex, and messy data sets Experience in life sciences, healthcare, or other highly regulated sectors This is a high-impact contract for a hands-on data scientist who thrives on solving complex risk problems, building sophisticated models, and helping organisations stay ahead of emerging threats in regulated environments.

Product Owner (Jira/Confluence) Experience within the Insurance or Reinsurance industry is highly desirable Bristol (Hybrid 2- 3 days a week in the office) £50,000 - £60,000 + 10% pension, private medical, life assurance, plus much more! I'm currently working with a highly innovative, tech-led analytics business operating within the insurance and risk space. They are looking to appoint an experienced Product Owner to join their growing team in Bristol. This is a unique opportunity for someone who enjoys working at the intersection of technology, data and business operations within a fast-paced, collaborative environment. The role sits across multiple teams and stakeholders, offering the chance to make a genuine impact on product delivery, operational efficiency and data-driven decision making. Unlike a traditional Product Owner role focused purely on software development, this position involves working closely with Data Scientists, Software Engineers, Underwriters and senior leadership teams to oversee complex data flows and business-critical processes end-to-end. The Role You will be responsible for coordinating and managing multiple workstreams across technical and operational teams, ensuring delivery priorities are aligned with wider business objectives. The successful candidate will be comfortable operating autonomously, managing stakeholder expectations and driving collaboration across a broad and diverse group of teams. Key Responsibilities Manage and coordinate cross-functional teams of up to 50 people across Data Science, Engineering and Underwriting Oversee end-to-end product and data pipeline workflows Work closely with senior stakeholders and business leadership teams Drive delivery priorities, sprint planning and workflow management Produce and interpret analytical and operational reports using tools such as Excel and Tableau Ensure effective collaboration between technical and non-technical teams Support process improvement and operational efficiency initiatives Skills & Experience Required 5+ years' experience working as a Product Owner Strong experience working with Jira and Confluence Experience managing cross-functional technical teams Good understanding of data flows, analytics and stakeholder management Comfortable working within fast-paced, evolving environments Strong communication and organisational skills Highly Desirable Experience within the Insurance or Reinsurance industry Experience working with Data Scientists and Software Engineers Technical background or strong technical understanding Exposure to analytics, modelling or data-led environments This is an excellent opportunity to join a growing and highly respected business that is investing heavily in technology, analytics and innovation. The environment is collaborative, entrepreneurial and ideal for someone who enjoys solving complex operational and technical challenges. For more information or a confidential discussion, please get in touch with me (see below)

Python Senior Engineer - 12 Months - London - Hybrid You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities. The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth Your responsibilities: Building and evolving AI-powered services using Python Designing and implementing evaluation frameworks for LLM-based systems Improving output quality through structured evals rather than purely code changes Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality Working with non-deterministic systems and iterating based on real-world behaviour Integrating AI services into a broader platform and API ecosystem Contributing to production readiness including reliability, observability, and performance Partnering with data scientists on prompts, model usage, and evaluation strategies Essential skills/knowledge/experience: Strong Python engineering experience in production environments Experience building AI-enabled applications, particularly in recommendation or conversational systems Hands-on experience with evaluation frameworks for LLM or AI systems Clear understanding of how AI systems differ from traditional deterministic systems Ability to design meaningful evals and improve system quality over time Experience working in cross-functional teams with engineering, data, and product Desirable skills/knowledge/experience: Experience with Azure AI services or similar platforms Familiarity with OpenAI or similar SDKs Exposure to infrastructure and distributed systems Experience with tools such as Terraform or Kafka The Offer Day Rate: £450/day (inside IR35) Length: 12 Months (Extenstion Potential) Mode: Hybrid (2x p/w in London) Start: ASAP

Lead AI & Data Scientist London/ Hybrid up to 140k + Benefits Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business. Key responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery of AI products from concept through to production Establishing governance, evaluation frameworks and responsible AI controls Coaching and mentoring technical teams while remaining hands-on when required To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions. If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply. An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.

I'm hiring a Data Scientist for a large, well-known UK business investing heavily in its data, analytics, and AI capability . This is a brilliant opportunity for someone from an advanced analytics background who's started moving into modelling and wants to take the next step into a true data science role - working on real use cases like customer segmentation, forecasting, and personalisation. The company A major UK business with a strong national presence, currently building out its data and analytics function under a new leadership team. There's a big focus on using data to drive customer strategy and commercial performance , particularly with the launch of a new loyalty programme later this year - creating real demand for modelling and insight. Where you fit You'll sit within a growing Data Science & Analytics team , reporting into the Data Science Lead and working closely with the Head of Data & Analytics. This is an early hire in the data science journey, so you'll have: Real ownership Exposure to end-to-end projects The opportunity to help shape how modelling is applied across the business What you'll be doing Build and apply models across key retail use cases such as: Customer segmentation Customer lifetime value modelling Demand forecasting Work with stakeholders to define business problems and translate them into analytical solutions Develop models using Python + SQL Support moving models towards production (with guidance from the team) Contribute to the development of personalisation and loyalty analytics strategies Work across the full lifecycle: problem modelling insight business impact What you bring Must-haves 2-4 years' experience in analytics / data roles Strong SQL Experience using Python (preferred) or R for modelling Experience building models (e.g. regression, segmentation, forecasting) Ability to break down business problems and apply analytical thinking Strong communication skills - able to work with non-technical stakeholders Nice to have Exposure to loyalty programmes Any experience taking models toward deployment Strong academic background in a quantitative subject Why this role Step up into a true data science role from analytics Work on real, high-impact use cases tied to a major loyalty programme launch Join at an early stage of the data science journey Strong mentorship from experienced leaders Opportunity to grow with the team as it scales Working style Based in Knowsley 3 days per week onsite Collaborative, fast-growing team environment Interview process Initial call with Hiring Manager (CV walkthrough) Onsite technical interview with leadership team If you're an analyst who's started building models and wants to properly step into data science, this is a great opportunity to do it in a supportive but impactful environment.

We're working with an engineering-led technology business developing complex sensor-based products used in highly regulated environments across healthcare, security and critical infrastructure. This is a hands-on senior engineering role where you'll work across firmware development, embedded architecture, RTOS environments, IoT connectivity and emerging Edge AI applications. You'll be joining a collaborative product development team with significant investment in R&D and the freedom to influence technical direction. What You'll Be Doing Developing embedded software in C and C++ Working with STM32 microcontrollers Designing and implementing firmware for commercial products Developing software within FreeRTOS environments Working with I2C, SPI, CAN, UART and Ethernet communications Supporting connected IoT devices and cloud integration Collaborating with hardware engineers and data scientists Contributing to architecture, design reviews and technical decision making Supporting product development from concept through to release What We're Looking For Essential 5+ years' embedded software development experience Strong Embedded C and C++ Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI / Machine Learning TouchGFX IoT connectivity Embedded cybersecurity