701 to 725 of 2,090 Permanent Data Science Jobs

Data Scientist – Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. … Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict ...

Market Intelligence Team On our proprietary research team-Market Intelligence you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. … work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. We look for other bright, motivated, and collaborative ...

Help build the digital, data and technology capability behind one of Wales' newest public bodies. The Disused Tips Authority for Wales is being established as the national public body responsible for overseeing the safety, management and regulation of disused tips across Wales. Operating in a high-profile, safety-critical … environment, our success will depend on reliable digital services, trusted information and technology that enables confident, evidence-based decision making. As Head of Digital, Data & Technology , you will play a critical leadership role in delivering the Authority's digital, data and technology capability. You will ensure colleagues have ...

Chubb's EMEA insurance business. This role is not a central analytics function. It is a deployment-first role, embedded at the intersection of data science, engineering, and business where the measure of success is analytics operating reliably in production, driving measurable commercial outcomes. The Analytics Solution Lead … shift that turns analytical output into operational capability. It is a delivery and adoption role combining the technical credibility to work alongside AI engineers, data scientists and architects, the business fluency to engage senior underwriting ,pricing and Ops leaders, and the deployment mindset to get things done in complex ...

Chief Product & Technology Officer London - Hybrid-Working: 3 days in office, 2 days from home ABOUT THE ROLE Are you passionate about using data, technology, and payments expertise to drive tangible customer value? We’re looking for an experienced and commercially minded Head of Product to lead the evolution … optimisation and orchestration products, scaling them to the next level. You’ll operate at the intersection of Product, Data Science, and Commercial teams, translating analytical insights into measurable business outcomes for our customers and for APEXX. This role is ideal for someone who enjoys connecting complex technical capabilities ...

## Senior Data Scientist IApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R114918**Senior Data Scientist I****Excited to uncover insights from complex data and turn them into impactful business decisions?****Do you enjoy building predictive models, experimenting with advanced analytics, and solving … real-world challenges with data?****About the team:**LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining ...

risk signals at point of quote Working with the panel of underwriters to improve how they assess and select risk Exploring non-traditional data sources to sharpen underwriting decisions Getting models into production so they're shaping live underwriting decisions every day Helping junior analysts develop their thinking … This is a rare role and they know it. They're looking for someone who brings genuine breadth across underwriting analytics, pricing, and data science, someone who understands how insurance portfolios actually behave and can work credibly with underwriters, not just alongside them. Your background might span underwriting ...

setup bring a lot of benefits: the largest pool of domain experts working alongside us, real users and clients, access to real & messy data, and the financial security and funding that comes with private-equity backing. This AI team operates as a startup within the wider business, reporting … Director of AI and group CEO, with a mandate move fast from idea to production. We have a mix of data science, product, engineering, and legal engineering teams, and work alongside lawyers who run cases day-to-day. We are going to grow all aspects of the team ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Lendable is revolutionising the credit card industry by making financial tools accessible … serve, how we grow, and how we deliver sustainable value. Your impact Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Lendable is revolutionising the credit card industry by making financial tools accessible … serve, how we grow, and how we deliver sustainable value. Your impact Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

platforms beyond the Microsoft ecosystem. Lead discovery and solution shaping for complex, cross ‐ functional business challenges. Define end ‐ to ‐ end solution architecture, including integrations, data flows and orchestration logic. Build and deploy scalable, production ‐ ready AI solutions, ensuring technical quality and maintainability. Develop reusable technical patterns, standards and contribute … governance frameworks for AI solutions. Integrate AI solutions with enterprise systems and data sources, ensuring security and reliability. Provide technical and expert guidance to stakeholders and act as a design authority for complex use cases. Ensure all solutions meet data privacy, security and regulatory requirements within a pharma ...

models and strategies that support credit underwriting. Identify opportunities to apply AI and advanced machine learning approaches to solve complex business problems. Evaluate alternative data sources and external vendor solutions by defining and driving proof of concept projects to demonstrate the solutions business values. Explore and leverage inhouse, external … Unit. Present model performance and insights to Credit, Risk, and Business Unit leaders. Full-time telecommuting is an option. Requirements: Masters degree in Statistics, Data Science, or a related quantitative discipline and (5) five years of experience in the job offered or a related occupation Or Bachelors degree ...

delivery outcomes. Provide clear visibility to senior stakeholders on portfolio performance, risks, priorities and investment recommendations. Required qualifications Significant experience in product innovation, data science or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology … enterprise software, ideally across core banking, lending, payments, digital banking or analytics. Practical experience shaping AI, data, automation or digital innovation initiatives from concept through delivery and adoption. Proven ability to work with Product Managers, Sales, Solution Consulting, Engineering, Partners and senior stakeholders to define strategy and drive outcomes. ...

economic progress. Team/Role Overview Are you a visionary problem solver with a passion for creative thinking and deep technical expertise in data and AI? Do you thrive in a dynamic, collaborative environment, working at the forefront of innovation? Citi is seeking an exceptional, hands-on Product Manager … lead the charge in developing and launching transformative Data and AI solutions within our Securities Finance business within Investor Services. The Securities Finance team is part of the Investor Services franchise within Services at Citi. We bring market leading agency execution solutions to our clients across several asset classes ...

traveler trust, consistency, quality, and customer lifetime value. Influence strategy beyond your immediate team by aligning Product, Engineering, Supply, Partnerships, Commercial, Operations, Customer Service, Data Science, Design, and senior leadership. Translate complex traveler and business needs into clear product requirements, user stories, success metrics, and decision frameworks. Create … clarity in complex, cross‐functional decision spaces through concise narratives, data, and artifacts. Use experimentation, analytics, and A/B testing to prioritize opportunities, evaluate impact, and guide trade‐off decisions across platforms and customer journeys. Identify risks, connect key stakeholders, and facilitate critical decisions across the organization. Incorporate ...

traveler trust, consistency, quality, and customer lifetime value. Influence strategy beyond your immediate team by aligning Product, Engineering, Supply, Partnerships, Commercial, Operations, Customer Service, Data Science, Design, and senior leadership. Translate complex traveler and business needs into clear product requirements, user stories, success metrics, and decision frameworks. Create … clarity in complex, cross-functional decision spaces through concise narratives, data, and artifacts. Use experimentation, analytics, and A/B testing to prioritize opportunities, evaluate impact, and guide trade-off decisions across platforms and customer journeys. Identify risks, connect key stakeholders, and facilitate critical decisions across the organization. Incorporate ...

enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description Responsibilities Customer Delivery Lead end to end solution … posts Qualifications 8-12+ years engineering experience 3+ years in customer-facing or FDE roles Proven track record deploying AI/ML or data-intensive applications in production Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/GraphQL DevOps proficiency: Docker, Kubernetes ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Personal loans are the fastest-growing consumer credit product … write tickets and attend standups" PM role. You'll own real problems such as: Getting our proprietary credit models into production - working with data science to turn research into real lending decisions Designing and personally building automations that make our operations team dramatically more efficient Using data ...

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Personal loans are the fastest-growing consumer credit product … write tickets and attend standups" PM role. You'll own real problems such as: Getting our proprietary credit models into production - working with data science to turn research into real lending decisions Designing and personally building automations that make our operations team dramatically more efficient Using data ...

frame high-value AI/ML opportunities Rapidly prototypes and builds agentic AI and LLM-powered solutions full-stack and end-to-end (backend, data, and lightweight interfaces as needed) to demonstrate value quickly, then hardens and scales them with the core AIML team Owns solutions … skills Formal training or certification on AI/ML engineering concepts and applied experience Advanced Python and full-stack/generalist engineering ability - backend, data, and lightweight front-end - to ship a working end-to-end solution, with modern software engineering practices (testing, code review, version control) Fluent with ...

technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree … term technical strategy for the web team, focusing on scalability,performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders toensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems ...

Deliveroo is seeking a Data Science Manager to lead the Delivery team in London. You will own the analytical direction and guide a team of 4–6 data scientists to impact rider pay, incentives, supply and demand, and network performance. You will partner with Operations, Product, Machine ...

Title: Data Scientist Location: London (Hybrid) Type: Permanent Overview We are supporting a rapidly growing organisation that is currently looking for a Data Scientist to help with several new projects. You will be responsible for working with senior stakeholders to understand business problems and support Data … solutions. You will be contributing to projects across the lifecycle including modelling, evaluation and monitoring. You will be working closely with the data engineering team on data pipelines and quality. Key Responsibilities Develop and maintain data models and work with senior stakeholders. Build LLM features Work closely ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build … maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow. Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness. Scope and plan work together with product engineering, data ...

eligible for Security Clearance (SC) and willing to work on site with our clients from time to time. About the role As a Senior Data Scientist at Faculty, you will lead high-impact AI safety projects and shape the technical direction of upstream evaluation standards. This role requires hands … teams to shape project scope, assess technical feasibility, and translate complex problems into rigorous frameworks. Contributing to Faculty’s thought leadership by advancing the science of AI evaluations, public speaking, or publishing open-source research. Ensuring rigorous scientific methodology and technical best practices are followed across the project lifecycle. ...