576 to 600 of 971 Permanent Data Science Jobs

incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals . … value realization to senior and C-level stakeholders. Win new strategic accounts and expand footprint within existing enterprise customers. Collaborate with AI solution architects, data scientists, and delivery teams to shape winning proposals. Align customer AI maturity with solution roadmaps and delivery feasibility. Maintain opportunity, account, and pipeline data ...

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus … GenAI productsfrom proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , youll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities Design and implement production GenAI applications using ...

Lynx Recruitment is partnering with a specialist data and AI consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus … from proof of concept through to scalable production deployment and monitoring. Working with modern LLMs, RAG architectures and agentic frameworks , you’ll collaborate with data engineers, solution architects and business stakeholders to deliver secure, cost-effective AI solutions on AWS. Key Responsibilities Design and implement production GenAI applications using ...

U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science ...

U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science ...

Data Scientist London, Hybrid Working This is an opportunity to join a growing data and analytics team where your work directly influences commercial decisions and customer engagement. You will combine advanced analytics with practical insight, helping organisations turn complex data into clear, actionable outcomes. The role offers … visibility, and the chance to develop your skills across a broad range of projects and industries. The role: Deliver insight and analysis that supports data driven marketing and commercial decision making. Build and apply predictive models and machine learning techniques to optimise client strategies. Prepare, cleanse, and manipulate data ...

prompt pipelines o RAG (Retrieval Augmented Generation) architectures o Model fine tuning and evaluation strategies • Provide technical oversight and mentoring to engineering and data science teams Enterprise AI Delivery & Governance • Design AI solutions that integrate with enterprise systems (e.g., ERP, CRM, digital platforms, data platforms) • Ensure solutions … align with security, compliance, data privacy, and responsible AI principles • Define AI operating models covering lifecycle management, monitoring, cost optimization, and scalability Required Skills & Experience Core Experience • 15+ years of experience in technology consulting, digital transformation, or advanced analytics • 5+ years of hands on experience in AI/ ...

will: Lead small and large multidisciplinary engagement and manage client relationship Design and develop quantitative models and analytics tools (e.g. derivatives pricing, market data methodologies, XVA, capital models, market and counterparty credit risk modelling) Provide thought leadership in quantitative methodologies, pricing techniques, risk and valuation frameworks and industry best … standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree in mathematical finance, science or maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office ...

frameworks. Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine-tuning (PEFT, LoRA, QLoRA) and RAG pipelines. Data Orchestration: Build ETL/ELT pipelines and feature engineering workflows to integrate structured and unstructured data into centralized platforms. End-to-End MLOps … Engineering: PEFT, Vector Databases (Pinecone/Milvus/Weaviate), Prompt Engineering. Ops: Docker, Kubernetes, CI/CD, Experiment Tracking (MLflow/W&B). Data: ETL/ELT, Feature Stores, Performance Tuning. Who You Are A Technical Lead: You can bridge the gap between Data Science, Software ...

achieve defined outcomes . • Pioneer the rapid prototyping and validation of AI concepts using advanced tools, bringing new thinking and curiosity to create innovative, data-driven solutions with a long-term perspective . • Articulate complex AI ideas and present the AI strategy, progress, and results to senior leadership, clients … should demonstrate advanced knowledge in specialized fields within the industry and the ability to monitor external trends. • Deep knowledge of financial markets , including reference data, corporate actions, loan lifecycle, lending, or compliance, combined with a proven track record managing complex, multi-stakeholder AI or technology roadmaps across multiple products ...

value creation across our PE partner portfolio, from first engagement with a sponsor, through deep technical and strategic analysis, to managing our engineers and data scientists as they build and deploy solutions that move EBITDA. You will operate across a range of workstreams simultaneously: evaluating AI opportunities … equity, AI/ML product management, strategy consulting (MBB or comparable preferred), investment banking, or engineering You have managed teams of 5+ people (engineers, data scientists, consultants, or analysts) and held them accountable to ambitious timelines You have managed executive and C-suite stakeholder relationships, ideally ...

Overview This role sits between physical engineering systems and cloud-based analytics. You'll work on connected products, turning device data into clear insights and predictive tools. The focus is on building reliable data pipelines, managing cloud infrastructure, and developing applications that support real-world operations. … work closely with data scientists and engineers to deliver scalable digital services. What you'll do IoT & Data Engineering Configure and deploy edge devices and gateways (e.g. CAN, Modbus, Ethernet) Build and maintain data pipelines for reliable ingestion over mobile networks Transform and store telemetry data ...

search are their biggest growth areas heading into the financial year. This is a senior, technically deep product role focused on building the intelligent data infrastructure that powers personalised experiences. The PM will own search, relevance, ranking models, recommendation systems, and AI-powered personalisation end-to-end from data … product professionals from some of the most respected names in UK tech. The Role.... Own the end-to-end product strategy and roadmap for data products, search, relevance, and AI-powered personalisation — translating complex data science and ML capabilities into member-facing features that are intuitive, trustworthy ...

within a regulated financial services environment , ensuring compliance and governance standards are met What We're Looking For 3-6 years' experience in AI, Data Science or ML Engineering roles Strong Python and SQL skills, including data manipulation (Pandas) Experience working with LLMs, prompt engineering and model ...

Performance Agencies. They have a new, exciting and industry leading opportunity for a Head of Performance Marketing & Analytics. This role is responsible for turning data, AI, and automation into clear commercial advantage - improving efficiency, effectiveness, and results across channels. You will not run campaigns. You will shape how decisions … Outreach • Define and maintain a single source of truth for performance reporting • Lead attribution modelling and performance interpretation (accepting real-world limitations) • Translate complex data into clear, actionable insight for channel leads and clients • Design and deploy AI-driven models and automations to: o Identify high-performing audiences, creatives ...

Package: £26,000 to £28,000 basic + uncapped commission (Year 1 OTE: £40,000) Company overview: Boutique recruitment firm specialising in AI, Data Science and Machine Learning hires across the UK and Europe. The business works closely with VC-backed tech firms and high-growth software companies … building AI products and data platforms. Why join? • Commission up to 30% with quarterly accelerators • Promotion to Consultant within 6 months based on performance • Hands-on training in AI and data-driven markets • Strong demand across Machine Learning and Data Engineering • Year 1 OTE £40k, Year ...

workflows. As the organisation continues to scale its AI capabilities, they are looking for someone to lead and shape the technical direction of their data and NLP initiatives. The Role As a Staff Applied Scientist, you will act as the technical lead for data and NLP initiatives , driving … recall) • Optimising search algorithms to deliver fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience • Experience ...

Join Recordsure as a Project Coordinator and help deliver impactful client work at the intersection of AI, data and software. You’ll support requirements capture and documentation (notes, user stories, acceptance criteria), keep client and product documentation clear and current, and coordinate day-to-day communication across clients … internal teams (AI Training, Data Science and Software Development). We’re looking for someone who’s analytical, organised and detail-driven, with confident written and verbal communication skills and a practical mindset for turning ambiguity into clear next steps. If you’ve supported client delivery, account support ...

Lead Data Analyst London, Hybrid (3 days per week) £80,000 to £90,000 This is a standout opportunity to lead analytics for one of the most dynamic digital content environments in the UK. You will shape how data informs decisions across podcasts, video, social platforms … They are a major player in the UK’s digital media and entertainment landscape, operating across audio, video, social, and emerging digital products. Their data function is well‐established, with modern tooling, cross‐functional squads, and a strong focus on innovation. As the business continues to expand its digital ...

Knowledge, skills and experience that relate to the FCI Competency Framework Understanding of national digital policy (What Good Looks Like, Digital Maturity Assessments, Data Security and Protection Toolkit) Demonstrates a sound understanding of clinical risk management and safety meeting DCB0129 and 0160 NHS Standards Awareness of national patient safety … frameworks, such as the Patient Safety Incident Response Framework (PSIRF) and NHS Patient Safety Strategy Desirable Postgraduate qualification in clinical informatics/health informatics, data science or a related analytical discipline, digital health, leadership, or quality improvement Fellowship or membership of a relevant professional body (e.g. Faculty ...

role offers strong visibility, meaningful client ownership and a clear path into practice leadership as the team scales. The Company They are a global data and analytics organisation operating at the intersection of financial services, technology and insight. The business works with banks, fintechs and payments organisations to help … them make better decisions across risk, growth and customer strategy. Alongside established data products, they are investing heavily in an end-to-end analytics consulting offering focused on delivering tangible commercial outcomes. This consulting practice operates as a true advisory partner, translating complex data into action. The Role ...

will act as the strategic partner and primary point of contact for enterprise customers post-sale and coordinate cross-functional teams (Product, Engineering, Solutions, Data) to deliver high-impact projects on time You translate complex business problems into workflows and product configurations and become a subject-matter expert … onboard, how to underwrite, or when to flag suspicious activity — with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision-making in real time as markets, customer behavior, and risks evolve. Our mission is to build ...

relationships to pursuing their passions. As a Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud … Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. Leverage the extensive data received from our application to enhance model performance and accuracy. Requirements: 7+ years of experience in hands-on working on fintech fraud problems ...

Company They are a large, well established UK organisation operating at scale, with a strong focus on customer outcomes and long term value. Data and analytics play a critical role in how they design products, engage customers and drive commercial performance. The business is investing in modern insight capability … customer insight vision, operating model and prioritisation framework. Work closely with analytics and insight leaders to uplift capability and ways of working. Translate complex data into clear, actionable insight that informs strategy and change. Partner with teams across marketing, product, data science and technology to embed insight ...

central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working … initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.This is an office-based role and as well as very competitive salaries ...