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Lead Data Scientist - Manchester My client is seeking a Lead Data Scientist to own and drive the end-to-end data science strategy across high-impact business domains (e.g., risk, fraud, affordability, customer value). This role will translate complex, real-world financial data into production-grade machine learning systems that deliver measurable commercial and customer outcomes. The successful candidate will lead model development from ideation through deployment and monitoring, working closely with Data Engineers, Analysts, Product, Risk, and Technology stakeholders. They will set standards for experimentation, governance, and MLOps while mentoring and developing other data scientists within the function. This is a hands-on technical leadership role - both strategic and delivery-focused. The Role Strategic & Technical Leadership • Define and evolve the data science roadmap aligned to business priorities., • Identify high-value ML use cases and translate commercial problems into scalable analytical solutions., • Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring, and iteration., • Establish best practices for experimentation, evaluation, reproducibility, and documentation., • Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery, • Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling., • Design scalable feature pipelines in collaboration with Data Engineering., • Lead productionisation efforts, including pipeline design, model versioning, and monitoring frameworks., • Implement safe deployment strategies (e.g., champion/challenger models, shadow runs, A/B testing)., • Ensure model performance, drift detection, and continuous improvement processes are embedded. Stakeholder Engagement, • Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready., • Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences., • Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk, • Own model documentation (model cards, lineage, assumptions, validation evidence).• Embed privacy-by-design, fairness, and bias monitoring practices.• Operate confidently within FCA-regulated environments and support audit and regulatory requirements. Team Leadership • Mentor and coach junior and mid-level data scientists.• Lead code reviews and promote engineering best practice (Git, testing, CI/CD awareness).• Contribute to hiring, technical assessment, and capability development.• Foster a culture of curiosity, collaboration, and high performance. About the Candidate The ideal candidate is commercially minded, technically strong, and delivery-focused. They understand that high-quality models create value only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. What My Client Is Looking For: • Significant hands-on experience building and deploying machine learning models into production environments.• Strong Python expertise (e.g., pandas, scikit-learn, ML frameworks) with production-quality coding standards.• Advanced SQL skills and deep understanding of relational data.• Strong statistical foundations and model validation expertise.• Experience working within cloud-based data platforms (AWS or equivalent).• Demonstrable experience productionising models and implementing monitoring frameworks.• Experience operating within a regulated environment (financial services preferred).• Ability to communicate effectively with senior stakeholders.• Experience mentoring or leading other data scientists. Desirable • Experience in credit risk, fraud detection, affordability modelling, or payments analytics.• Familiarity with model risk management frameworks.• Exposure to MLOps tooling (CI/CD pipelines, automated testing, model registries).• Experience with model explainability techniques (e.g., SHAP, LIME).• Experience shaping data science roadmaps or leading multiple concurrent initiatives. Benefits • Hybrid working, • Training and development budget, • Flexible working Interested? Please Click Apply Now! Lead Data Scientist - Manchester

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Manchester. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Manchester, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at henry.clay-davies@searchability.com. For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Are you passionate about uncovering the hidden drivers behind business performance? We're looking for an experienced Data Scientist Contractor to help us identify what makes the highest-performing products in our portfolio stand out and translate those insights into actionable business decisions. The Opportunity You'll work on a high-impact project focused on understanding the characteristics of successful products across a large and diverse portfolio. Building on existing analysis, you'll validate current assumptions, apply advanced machine learning techniques, and develop a robust framework that explains the key drivers of product performance. This is a highly visible piece of work that will influence strategic decision-making across the business and provide direct exposure to senior leadership stakeholders. What You'll Be Doing • Validating and enhancing existing analytical models and hypotheses., • Applying unsupervised learning techniques to segment and cluster product data., • Building supervised learning models to identify and predict high-performing products., • Using model explainability techniques such as SHAP to uncover and communicate key performance drivers., • Turning complex analytical findings into clear, compelling narratives for both technical and non-technical audiences., • Developing scalable, programmatic solutions using data housed within Snowflake., • Creating engaging stakeholder-facing outputs, ideally leveraging Streamlit. What/who we're Looking For • Proven commercial experience delivering Data Science projects from problem definition through to insight generation., • Strong expertise in both supervised and unsupervised machine learning., • Experience with model interpretability techniques, particularly SHAP., • Excellent stakeholder communication and storytelling skills., • Strong Python and SQL capabilities., • Experience working with Snowflake and ideally Streamlit., • Ability to challenge assumptions, validate existing work, and build trusted recommendations. Next steps If you enjoy turning complex data into clear business value and want to help define what "great" looks like across a large product portfolio, we'd love to hear from you. We are shortlisting w/c 1st June with the ideal start within the next 2 weeks.

The role: We are seeking an experienced Senior Data Scientist to develop and deploy predictive analytics and machine learning solutions that deliver measurable business value. This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production implementation and monitoring. The ideal candidate will have strong commercial experience building predictive models, working with large datasets, and delivering scalable, production-ready solutions. Exposure to modern AI technologies, including LLMs, is desirable. Responsibilities: • Design, build, and deploy predictive and machine learning models., • Analyse complex datasets to generate insights and support business decision-making., • Develop pricing, forecasting, and predictive analytics models to support commercial optimisation and revenue growth., • Develop and maintain data pipelines and data preparation processes., • Work across multiple data sources to create reliable datasets for analytics and modelling., • Collaborate with engineering teams to deploy and monitor models in production., • Contribute to data science best practices, technical design, and continuous improvement initiatives., • Mentor junior team members and support the growth of internal data science capabilities. Skills & Experience • Significant commercial experience in Data Science, Machine Learning, or Advanced Analytics., • Strong Python skills with experience using pandas, NumPy, Jupyter, and related tools., • Hands-on experience building and deploying predictive models in production environments., • Experience with pricing, forecasting, revenue optimisation, risk modelling, or similar predictive analytics use cases is highly desirable., • Experience designing and maintaining data pipelines and working with large datasets., • Knowledge of SQL and modern database technologies., • Familiarity with cloud platforms, APIs, CI/CD, and containerisation technologies., • Exposure to LLMs, Generative AI, or Natural Language Processing is advantageous., • Excellent analytical, problem-solving, and stakeholder management skills. Ideal Candidate A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical data engineering experience and can deliver robust, scalable solutions that drive commercial outcomes.

Head of AI Manchester (Hybrid – 2 days per week in office) £110,000 - £130,000 per annum The Opportunity We’re hiring a Head of AI to lead the development of a scalable, production-grade AI capability within a growing B2B SaaS business. This is a senior, hands-on leadership role where you will define and build the AI platform that underpins both product innovation and engineering delivery. AI is central to the company’s strategy this role ensures it is delivered as a robust, governed, and scalable capability rather than isolated features. The Role Reporting into senior Product & Engineering leadership, you will: • Own the AI platform – architecture, pipelines, deployment, and monitoring, • Drive applied AI across products (LLMs, NLP, conversational intelligence), • Embed AI into engineering workflows (automation, testing, AI-assisted development), • Establish governance frameworks – evaluation, explainability, and compliance, • Lead and develop a team of 2 Data Engineers and 1 Data Scientist, with scope to grow the function, • Partner cross-functionally with Product, Engineering, and leadership on AI strategy What We’re Looking For Essential: • Experience building or leading AI/ML platforms in SaaS or data-driven environments, • Strong understanding of the full ML lifecycle (training, deployment, monitoring), • Hands-on experience with cloud AI tools (ideally AWS e.g. Bedrock, SageMaker), • Track record of delivering applied AI solutions (LLMs, NLP, or similar), • Ability to lead teams while remaining technically credible Desirable: • Experience with AI governance, evaluation, and compliance frameworks, • Familiarity with agentic AI or multi-agent systems, • Background in voice, speech, or conversational AI Why This Role? This is a rare opportunity to build AI capability from the ground up within a business that already has strong commercial foundations and a clear product direction. You’ll have the autonomy to shape the platform, define best practices, and grow a high-impact team - turning AI from a concept into a core, revenue-driving capability. With no legacy constraints and genuine leadership buy-in, your work will directly influence how products are built, how engineering operates, and how the business differentiates in the market. If you’re looking for a role where you can combine technical depth, strategic ownership, and real-world impact, this offers the scope to do exactly that.

Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. These might include improvements in hyper-parameter tuning met

Senior Data Scientist My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: • Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance, • Translate business objectives into modelling strategies aligned to risk appetite and operational constraints, • Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent), • Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions, • Establish monitoring frameworks for performance, drift, and retraining, • Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience • Proven commercial ML/Data Science delivery with measurable impact, • Experience taking models into production and managing performance over time, • Prior experience leading or mentoring Data Sci...

Job title: Senior Data Scientist Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Senior Data Scientist to join a quickly growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1b. The majority of business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: • Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models, • Identify and create data solutions that create value, • Work collaboratively with the pricing and machine learning teams to provide insight across the business, • Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market, • Identify and create solutions that leverage vas...

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No Data Entry experience needed. Data Entry Clerk Work From Home - Part Time Remote Focus Group Panelists. Data entry clerk experience is not necessary.

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