301 to 325 of 6,366 Permanent Data Science Jobs

that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise … in Python-based AI/ML development, big data processing, and cloud-based AI platforms (Databricks, Azure ML, AWS SageMaker, GCP Vertex AI). Key Responsibilities Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical … or SageMaker Pipelines. Monitor model performance over time and manage retraining to mitigate drift. Business Insights & Decision Support Communicate analytical findings to key stakeholders in clear, actionable terms. Provide data-driven guidance to inform product strategies and business initiatives. Ethical AI & Governance Ensure compliance with regulations (GDPR) and implement bias mitigation. Employ model explainability methods (SHAP, LIME) and adopt More ❯

Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the … you have a desire to make a major contribution to the future, in the rapid growth environment of Cloud Computing? Amazon Web Services is looking for a highly motivated Data Scientist to help build scalable, predictive and prescriptive business analytics solutions that supports AWS Supply Chain and Procurement organization. You will be part of the Supply Chain Analytics team … working with Global Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. We are seeking an innovative and technically strong data scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical More ❯

money is spent. We drive forward improved outcomes and efficiency in public services and make sure value for money is at the centre of decision-making through better evaluation, data and analysis. We advise on overall government policy on public sector pay and pensions, the biggest single driver of public spending.We collaborate with and directly support departments to deliver … Reference Modelto share, improve and drive efficiency in the delivery of finance services. NOVA contains a full suite of functional design artefacts—Processes, KPIs, Business Glossary and a comprehensive Data Dictionary—to be adopted by all government organisations through the delivery of shared services and back-office systems. We are committed to enhancing finance performance by supporting the adoption … of the NOVA finance functional design and its data standards. Driving up finance data maturity, improving data architecture, and creating data integration solutions are central to our GFF 2030 Strategy and ambition for an Insightful and Data Driven finance function. The seventeen-person team works across a wide range of partners, providing the individual with More ❯

Job Role : Data Science Consultant - Customer Data Modelling Location: London/Manchester/Edinburgh/Newcastle Career Level : Consultant - ML9 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign … through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data … scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with More ❯

Data Scientist – Data Science Analytics and Enablement (DSAE) United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles … play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless integration of data. Currently there are over 100 people in the global … DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer More ❯

Partners, delivering truly cutting edge AI-driven solutions. If you want to future proof your tech career, this is the move! Need some convincing? ✅ Azure Expert MSP, Azure and Data +AI Solutions Partner with 15 Advanced Specialisations ✅ 21% YoY recurring revenue growth ✅ Top 10 "Best Tech companies to work for" in the UK ✅ Chief AI Officer who has worked … solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models into production environments and optimize their performance. Monitor and evaluate AI models, making necessary improvements … based on real-world performance. Deliver training and support to clients on AI tools, best practices, and deployment strategies. Stay up to date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Proven experience in AI and machine learning, with a strong portfolio of successful projects. ✅ Proficiency in programming languages such as Python More ❯

Join to apply for the Senior Software Engineer role at Applied Data Science Partners 2 days ago Be among the first 25 applicants Join to apply for the Senior Software Engineer role at Applied Data Science Partners We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models … Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering … solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and More ❯

the UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role … making processes. Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling. Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability. … scalable code in Python. Implement CI/CD practices for version control, testing, and code review. Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques. Research and Development: Stay updated with the latest trends More ❯

the UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role … making processes. Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling. Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability. … scalable code in Python. Implement CI/CD practices for version control, testing, and code review. Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques. Research and Development: Stay updated with the latest trends More ❯

the UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role … making processes. Machine Learning Operations: Design, deploy, maintain, and refine statistical and machine learning models using Azure ML. Optimize model performance and ensure smooth application operations with large-scale data handling. Data Management and Preprocessing: Manage the collection, cleaning, and preprocessing of large datasets. Implement data pipelines and ETL processes to ensure data quality and availability. … scalable code in Python. Implement CI/CD practices for version control, testing, and code review. Collaboration and Training: Work closely with various teams within the organisation to integrate data science findings into practical strategies. Provide training and support to team members on machine learning tools and analytical techniques. Research and Development: Stay updated with the latest trends More ❯

Reports to: Head of Industrial Engineering Location: United Kingdom (remote) QiO Technologies is a leader in intelligent energy optimization, spearheading sustainable advances in data centers and industrial environments. With pioneering software solutions, such as our upcoming data center product, we enhance operational efficiency and reduce energy consumption significantly. Co-founded by industry veteran Rick Haythornthwaite and backed by … in energy optimization, fostering a culture that values bold ideas, customer focus, and sustainable practices. Our global operations span across the US, Europe and India, where we drive both data centers and industrial clients towards more sustainable and efficient operations. Role & Responsibilities The Senior Software Engineer is responsible for designing, developing, and implementing advanced solutions that address complex industrial … challenges. This role requires a deep understanding of industrial processes, data analytics, and the ability to code and develop software solutions. Solution Design and Development: Collaborate with clients to understand their industrial processes and identify areas for improvement. Design and develop customized solutions that leverage data science and advanced engineering principles. Implement and test solutions to ensure More ❯

workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering … solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and … scalability Build processes for extracting, cleaning and transforming data (SQL/Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

marketing, innovation and an entrepreneurial spirit. Suntory Global Spirits is a place where you can come Unleash your Spirit by making an impact each and every day. Role Responsibilities Data Quality and Governance: Ensure the integrity and structure of the data warehouse and assets. Establish and enforce data standards, naming conventions, and classification frameworks. Define and govern … data models to ensure alignment with best practices and establish reliable sources for critical datasets. Collaborate with IT for proper data synchronization and clear documentation of updates. Support the creation of a Data Glossary, Data Lineage, and Governance in partnership with the CoE & EIM team. Engage in resolving data quality and process issues affecting reporting … solutions are sustainable and fit for purpose. Coaching and Mentoring: Lead and support report builders in their daily tasks and design discussions. Mentor the team to enhance skills in data modeling and visualization. Foster a culture of continuous learning and improvement. Drive advancements in analytics capabilities for data modeling and visualization. Collaborate with IT to design innovative data More ❯

and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI-driven decision automation , data-driven insights , and scalable architecture to enhance business processes and client outcomes. As a key member of our team, you will architect solutions that learn, reason, and make intelligent … algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Architect robust data pipelines to support AI model training and inference. Implement automated data collection, integration, cleansing, and transformation techniques to ensure high-quality data inputs. Collaborate with data … advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists, and IT professionals to align AI solutions with corporate objectives. Present complex AI concepts in a clear, accessible manner to both technical and non-technical stakeholders. More ❯

About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

an office in Central London and work as a mix from office and home. The role We are looking for a senior Machine Learning Engineer with a spike in data engineering and maintaining real-time data pipelines. You will work with our Product & Engineering team along the end-to-end algorithm lifecycle to advance the Trudenty Trust Network. … A bit more on what you’ll do: Data Engineering Develop and maintain real-time data pipelines for processing large-scale data Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model Training and Optimisation Design, develop, and implement … algorithms for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to More ❯

engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create … build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies … while working in a dynamic, collaborative environment. Responsibilities: Technical Leadership: Establish best practices and share expertise through mentorship. Model Development: Design, train, and optimize machine learning models and algorithms. Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training. Model Deployment: Implement and manage models in More ❯

and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and programming, alongside a solid understanding of cyber threat detection and defensive operations frameworks. You will be instrumental in designing and implementing full-stack AI-driven solutions … modern full-stack development tools and frameworks. · Collaborate with cybersecurity teams to build and enhance detection and mitigation systems based on frameworks like MITRE ATT&CK. · Develop and maintain data pipelines, APIs, dashboards, and visualization tools to support AI model insights. · Write clean, well-documented, and secure code using Python, C C#, or R. · Leverage libraries such as TensorFlow … emerging AI trends, threat intelligence, and evolving attack techniques. · Participate in code reviews, threat modeling, and architectural design discussions. Qualifications & Skills: · Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. · 3 years of experience in a cybersecurity operations or similar function. · Strong knowledge of cybersecurity principles, frameworks, and threat intelligence (e.g., MITRE ATT&CK More ❯

engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Team: At SecurityScorecard, the Data Science organization builds AI and ML products that empower our customers to manage cybersecurity risk. We leverage massive datasets sourced by our internal Threat Intelligence teams to create … build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of emerging technologies … while working in a dynamic, collaborative environment. Responsibilities: Technical Leadership: Establish best practices and share expertise through mentorship. Model Development: Design, train, and optimize machine learning models and algorithms. Data Pipeline Creation: Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training. Model Deployment: Implement and manage models in More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

of this our success and help drive our limitless ambitions. About the role We are seeking a talented Lead Business Intelligence Analyst to join our Analytics team within the Data department. This role will have line management responsibilities, and will be responsible for leading the delivery of Business Intelligence across the company. The successful candidate will play a pivotal … role in ensuring that we have the right data, visualisations, insights, and analytics to support the growth of our business. As Lead BI Analyst you will Lead the development and delivery of our Business Intelligence strategy Develop and maintain key BI metrics, dashboards and reports that provide insights across Digital, Finance, Commercial, Supply Chain and other core areas Provide … the business, by imparting knowledge and/or upskilling colleagues on all that is possible through our tools Provide mentorship and coaching to the BI team Work closely with Data Engineering, Customer Insights Data Science and Product Management teams to ensure alignment and collaboration Manage relationships with key stakeholders across the business Who you will work with More ❯

VOLUNTEERING ROLE Role Nature: Volunteer Location: Home-based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. THIS IS AN UNPAID VOLUNTEERING ROLE Role Title: Principal Technology Officer (PTO) – Distributed Ledger Technology (DLT) Role Nature: Volunteer Location: Home … based The Blockchain & Climate Institute (BCI) is an international volunteers-led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. What will you be doing? We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key … provide strategic and technical leadership for DLT/Blockchain technology across all BCI projects. You will oversee and implement DLT/Blockchain technology (in combination with AI, Machine Learning, Data Science, Data Modelling and associated tooling) for technology research, standards and climate action. You will perform research, onboard and train other team members, execute proof of concepts More ❯

at Lloyd's (Syndicate 1856) underwriting a diverse range of Property, Commercial and Speciality (re)insurance products from Cargo and Marine to Political Violence, Terror and War. We combine data, intelligent automation and human expertise to make smart decisions, fast. ERS is the UK's largest specialist motor insurer with an A+ rating. We recognise that for some, motor … critical leader within the pricing function. Key responsibilities Technical Pricing Infrastructure & Capability Building: Architect and implement a state-of-the-art pricing technology platform for syndicate 1856 Design scalable data pipelines and analytical frameworks to support complex pricing models Collaborate closely with IT teams to deliver robust, automated pricing solutions Establish technical standards and best practices for pricing model … and reporting capabilities Design calculation engines for Risk Prices and Market prices with flexible loadings Build bespoke analytical tools to support underwriting decision-making Cross-Functional Collaboration: Partner with Data teams to ensure optimal data architecture and quality Work closely with Divisional Actuaries to share insights and align methodologies Collaborate with underwriters to translate business requirements into technical More ❯

software applications using Python and SQL. Design and implement user interfaces using modern JS frameworks (e.g. React, Angular, or Vue.js). Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and … practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 5+ years of work-related experience in a … Experience developing software engineering solutions for workflow automation. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5, CSS3 More ❯