426 to 450 of 784 Data Science Jobs in England

of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business objectives with stakeholders at different levels. … Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an … and implementing transformational changes to their exposure and risk management workflows. We want to take your exposure and catastrophe risk management expertise and build on it, incorporating the latest science, technologies, and analytics. With this expanded knowledge, you can apply it across many insurance customer situations for potentially huge transformation opportunities. Key responsibilities include: Workflow Migration and Transformation: Leverage More ❯

Senior Data Scientist - Remote We are working with a publishing company who have expanded into digital platforms and subscription-based businesses. They are focused on building personalised media experiences and improving user engagement across their platforms. They are now hiring their first Data Scientist to join a team of analysts and engineers. This is a greenfield role, ideal … tagging. Work on user experience optimisation, such as improving content recommendations and personalisation strategies across web, CRM and app platforms. Partner with the analytics and engineering teams to define data science best practices, tooling, and workflow. More ❯

Partnered with a global Legal Services orgnisation who are searching for Permanent Lead Data Scientist to play a key role within the Product Function leading the development of enterprise grade Data solutions and advanced analytics capabilities. Scope of role: Play a key role to developing firms AI strategy and roadmap. Develop and implement Data Science and More ❯

achieve business targets Own CSM business inspections, root cause and corrective actions, weekly "run-the-business" meetings and quarterly business reviews Conduct ad-hoc analysis of business and customer data Ensure that customer retention and growth is predictable and on target by tracking weekly progress vs. business targets Liaise with Finance on Net New ARR budgets and then translate … Sheets and Microsoft Excel along with experience using visualization tools (Power BI) Understanding of Customer Success operations and business metrics Familiarity with analytical techniques and experimentation strategies that drive data-driven decision-making Experience with customer lifecycle analytics, and Annual Recurring Revenue (ARR) related KPIs Comfortable building reports and dashboards in Salesforce Bachelor's degree in Finance, Marketing, Business … Economics, Statistics, Data Science, or a related field Core values required of all Simpro , AroFlo, BigChange & ClockShark employees: We Are One Team We Are Customer Centric We Are Growth Minded We Are Accountable We Celebrate Success Simpro, AroFlo, BigChange & ClockShark are equal opportunity employers with a best-of-class onboarding program and supportive team environments. This means that More ❯

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

About the Role Outside IR35 £200 - £300Initial 6 month contract - high possibility of 18 monthsOur client is hiring a Data Scientist – AI/ML Engineer to join our Core AI Services team. You’ll be at the forefront of designing and scaling cloud-native AI platform services and APIs that enable enterprise-wide AI adoption. Working within a collaborative … cloud-native services on Microsoft Azure , including Azure Functions, AKS, and API Management. Develop secure, well-documented RESTful APIs and SDKs , managing their full lifecycle. Deliver end-to-end data pipelines , orchestration, and service APIs. Deploy and manage AI models and tooling for enterprise-scale adoption. Embed security best practices around authentication, authorization, and data privacy. Participate in … continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and More ❯

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a … pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. Responsibilities The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within … to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of More ❯

engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate with stakeholders to translate data and AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years … in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot). … interest in Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. Perks of Working at Viator Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus. "Work your way" with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the … quality outcomes to meet internal objectives. Investigate and adopt innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/… proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected … opportunities, we ensure they get the funds they need - often within minutes. The team The Finance Technology team builds and maintains the payment infrastructure and financial data systems that power iwoca's growth. The team partners with the Finance team to build scalable tools and supports other product teams to launch new products with enhancements to the payment infrastructure … and financial data systems. As a group of skilled back-end engineers, they work closely with a dedicated Tech Lead and Product Manager, using Agile methods to ship code frequently and solve complex problems together. Three of the team work remotely and five are hybrid, working 1-3 days per week in the London office. The role Responsibility and More ❯

Data Engineer - Manchester (Hybrid) - £55,000 + Bonus The Opportunity: Lorien Global is proud to partner with a leading North West brand that's redefining its global strategy through data. Following a major migration project, the business is now investing heavily in cutting-edge data solutions to power smarter tech, innovative products, and world-class customer experiences. The … Role: We're on the lookout for a Data Engineer who's passionate about building scalable, cloud-native data platforms. You'll be a key player in a growing team, helping to shape the future of data infrastructure using AWS, PySpark, Iceberg, and more. From designing high-performance pipelines to supporting a full-scale migration from SQL … Server to AWS, this role offers the chance to work on real-time data solutions that drive impact across the business. You'll work with analysts, data scientists, and engineers to unlock automation, enable BI, and increase advanced analytics. What You'll Be Doing: Designing and building robust data pipelines using AWS Glue, Lambda, S3, and Redshift More ❯

InfoSum is the world's leading data collaboration platform. The world's largest enterprise businesses use InfoSum to collaborate across data sources and deliver richer customer experiences that prioritise consumer privacy. Our vision is to unlock data's limitless potential, by enabling the world's data to be connected but never shared. Off the back of … multiple ways. We seek people with a focus on delivering solutions to customers, a genuine passion for problem solving and coding, and who enjoy being challenged. An interest in Data Science is advantageous but not essential. Experience working in agile teams and CI/CD environments is beneficial. You will join a highly talented and motivated team delivering More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a 'Tech for Good' company that is enabling life changing education to be accessed by … millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process … experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a "Tech for Good" company that is enabling life changing education to be accessed by … millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process … experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible More ❯

machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling More ❯

algorithms to solve complex real-world allocation problems. Translate applied mathematics and optimisation concepts into structured product requirements for engineering teams. Define KPIs and drive measurable performance improvements through data-driven experimentation. Collaborate with engineering, architecture, and product colleagues to deliver new features and improvements. Act as a technical product ambassador, engaging with internal stakeholders and customers to ensure … adoption and success. What We’re Looking For Strong background in applied mathematics, optimisation, or data science (degree in Maths, Computer Science, Engineering, or related field). Experience in technical product management , ideally in algorithm-heavy or decision-support environments. Familiarity with Python and ability to translate algorithmic design into specifications. Knowledge of optimisation engines, simulation, or More ❯

by our customers to power millions of critical business decisions every day. Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some … What You'll Do You 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 in the Taktile platform and the More ❯

pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As an Agentic AI Data Scientist at Kyndryl, you’ll help shape the future of advanced Agentic AI while working with a team that’s leading the industry. We're solving real-world problems … framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. Co-own the evolution of the Agentic AI framework - not just code, but also architecture … where you’ll build a legacy portfolio and help reimagine what AI can do for business. Who You Are Must-have capabilities PhD or equivalent research experience in computer science, mathematics, AI, or a related field Hands-on Agentic AI/GenAI engineering exposure - building or contributing to frameworks, not just using APIs Strong programming fluency (Python) and architectural More ❯

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful … on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on … AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of More ❯

Senior Data Engineer (Kafka Python AWS) London/WFH to £80k Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a … a 'Tech for Good' company that is enabling life changing education to be accessed by millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and … experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible More ❯

Position: Data EngineerLocation: HerefordshireSalary: £50,000 to £65,000 base salary (depending on seniority) Security Clearance: DV Clearance Required Are you a talented Data Engineer ready to take on exciting, customer-facing projects? Our client is expanding their data engineering team and is looking for a proactive, technically sharp individual to help build and maintain bespoke data pipelines and applications using proprietary commercial software. This is a fantastic opportunity to work on end-to-end data solutions, collaborate with cross-functional teams, and contribute to rapid prototyping and delivery of data-driven products. The Role: As a Data Engineer, you'll be responsible for: Developing intuitive front-end applications for data interaction. … Building and maintaining custom data pipelines. Designing and delivering full-stack data projects from concept to deployment. Collaborating with data scientists, analysts, product owners, and engineers. Ensuring seamless data integration and robust software performance. What We're Looking For: Strong Python skills (or similar programming language). Solid experience with relational databases. Familiarity with APIs for More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Digital Strategist , you'll play a crucial role in turning data into actionable insights that shape digital … creative strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Create and implement DCO strategies that connect client goals with media plans and audience insights. Turn performance data into practical recommendations and establish measurement frameworks to evaluate … platforms, and adjust approaches accordingly. Support product development by applying campaign learning's and sharing expertise on AI, automation, and digital creativity. The Candidate 4+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production and DCO campaigns Strong numeracy and analytical skills with a good More ❯

Cloud Developer Role type: Permanent Location: United Kingdom Preferred start date: ASAP LIFE AS A SATALIAN As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a Wunderman Thompson Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you … solutions observing cross-cutting concerns such as observability and system security Taking ownership of deployments in a true devops model MINIMUM QUALIFICATIONS/SKILLS Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience). Strong experience in creating and deploying cloud infrastructure using AWS, GCP or Azure. Understanding of Python and Docker for More ❯

You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build scalable, reusable MLOps tools to accelerate project delivery. Work closely with data scientists, engineers, and product teams to integrate advanced AI into mission-critical systems. Engage directly with clients to understand technical requirements and translate them into practical solutions. Provide guidance More ❯

You'll Do Lead the design and deployment of machine learning infrastructure and software for Defence programmes. Build scalable, reusable MLOps tools to accelerate project delivery. Work closely with data scientists, engineers, and product teams to integrate advanced AI into mission-critical systems. Engage directly with clients to understand technical requirements and translate them into practical solutions. Provide guidance More ❯