501 to 525 of 6,428 Data Science Jobs

across the digital asset ecosystem. People and technology are at the core of everything we do. We are looking for an experienced Quantitative Research Engineer to work on our data and research platforms and partner closely with our quantitative researchers to enable and enhance their research productivity. In this role, you will apply your expertise in engineering and data science to develop essential and innovative tools, systems, and methodologies that streamline the research process, improve data analysis and simulation capabilities, and drive research efficiencies. This role requires a strong technical background, excellent problem-solving skills, and the ability to work closely with cross-functional teams. Key Responsibilities : Collaborate with quantitative researchers to understand their workflow, challenges … requirements, and provide technical solutions to improve their research productivity Design, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities Leverage More ❯

RESPONSIBILITIES OF THE ANALYTICS & AI LEAD Lead the design, development and continual improvement of the MPS analytics products, with a focus on Oracle Analytics Cloud (OAC)/Oracle Fusion Data Intelligence. Own the product roadmap for analytics, AI and Machine Learning aligning with the Head of Product and peers in Finance, HR, Logistics, Operations and Commercial teams. Manage and … culture of evidence-based delivery and user-focused design. Engage with stakeholders to understand their analytical needs, translating these into dashboards, reports, and automated solutions. Champion a culture of data governance, literacy, and evidence-based decision-making across the organisation. Analyse user feedback and data to uncover pain points, improve decision-making tools, and maximise the value of … our data assets. Design and optimise cloud-based integrations to connect data across systems and services. Support operational change including test planning, user training, and change impact assessments. Present technical and strategic proposals to the Head of Product, outlining value, feasibility and cost-benefit cases. Drive data literacy across teams and develop reusable frameworks and patterns for More ❯

speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index The Data & AI team is: 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 and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer 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 Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and More ❯

a real impact! About The Role This is an exciting opportunity to join our expanding Product Team. As a Senior Tuning & Analytics Manager at GSS you will lead key data science initiatives and client-facing projects that are intended to optimize the GSS solution across large and complex data sets. The ideal candidate will be a highly … good communicator and have experience working in payments. What You’ll Do Key responsibilities of the role include (but not be limited to): Leading the delivery of client-facing data analytics projects, from project definition and mobilisation, through to delivery, reporting and acceptance Acting as key point of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and project updates to senior stakeholders Optimizing processes and methodologies More ❯

for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What You Will Do Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving Design, build and test data pipelines for machine learning that are reliable … scalable and easily deployable Explore and manipulate 3D point cloud & mesh data Own the delivery of technical workstreams Create analytics environments and resources in the cloud or on premise, spanning data engineering and science Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success Work at … the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption What You Bring To The Table Experience applying Machine learning methods (including 3D graph/point cloud More ❯

Driving the digital future of Kramp Group by discovering and building great products, making life easy for our customers. Kramp Group discovers and builds e-commerce, supply chain, finance & data science solutions that aim to give the ag-tech industry a push forward. We’re building a digital platform serving thousands of customers and generating over one billion … euros in turnover annually. As an Analytics Engineer , you play a critical role in transforming raw data into clean, reliable, and business-ready insights. You serve as the essential link between data engineers and business analysts, combining deep technical expertise with strong business acumen. Your work ensures our data warehouse is technically sound, accessible, well-modeled, and … aligned with business needs. You will design scalable data models, implement software engineering best practices (including version control, CI/CD, and testing), and contribute to data governance. You will help manage structured and unstructured data, enabling consistent, accurate, and timely reporting and analytics across the organization. Tech Stack: dbt | Google BigQuery/SQL | Tableau (occasionally) | Python More ❯

join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you'll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions-such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows -into production. As a Senior Machine … parameter-efficient training (e.g., LoRA, PEFT), and distillation . Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack-from data preparation and model training to serving and observability-either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support real-time … and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents , and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of More ❯

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 … for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and stable … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies Work with data scientists to productionise various ML models, making sure the code … standards Follow best practice for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc) Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

join our AI and Architecture team, contributing to the design, development, and deployment of cutting-edge machine learning systems. In this role, you’ll work closely with ML scientists, data engineers, and product teams to help bring innovative solutions—such as retrieval-augmented generation (RAG) systems, multi-agent architectures , and AI agent workflows —into production. As a Senior Machine … tuning, parameter-efficient training (e.g., LoRA, PEFT), and distillation. Build evaluation pipelines to benchmark LLM performance and continuously monitor production accuracy and relevance. Work across the ML stack—from data preparation and model training to serving and observability—either independently or in collaboration with other specialists. Optimize model pipelines for latency, scalability, and cost-efficiency, and support real-time … and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents, and evaluate their practical applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of More ❯

Please note we're open to considering both Interim and Permanent applications for this opportunity. As the Director ofManagement Information & Business Insights you'll drive the evolution of our data strategy, enabling data-driven decisions that fuel innovation and operational excellence. Based from our Bristol office working on a hybrid basis (3 days in the office), you'll … ensuring the delivery of actionable insights to optimise product performance, enhance customer experience, and shape the future direction of the business. This role offers the opportunity to define the data strategy, shape the data culture, and make a tangible impact in a dynamic, fast-paced environment. Key areas of responsibility will include: Strategic leadership Defining and executing a … management information and analytics strategy that supports Zellis' business goals. Mentoring and developing a high-performing team of analysts and data specialists, fostering a collaborative and innovative work culture across the Business Units and Group. Collaborating with executive leadership to identify data opportunities and inform strategic decision-making. Data analytics and insights Analysing financial, customer, product, and More ❯

List as one of the fastest-growing companies to launch your career. At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have … a real impact on the most important decisions for the business. Our platform is trusted and used by data science teams in leading organizations and provides real value across a wide variety of industries, and it's only the beginning. Our Mission To radically advance human decision-making. A world in which humans leverage trustworthy AI to solve … Engineering team. This is a full-time placement with significant opportunities for non-linear growth. Your focus will be on designing, implementing and maintaining our multi-tenanted, multi-cloud data science platform. You’ll be responsible for service and API design, backend python implementation, CI/CD rollout and meeting quality standards. Your remit will include multiple aspects More ❯

UK, Germany. The Telefónica Tech UK&I hub has an end-to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI (Adatis), Enterprise Applications (Incremental), Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto … Security Portfolio Fortinet: Elite VIP Program – one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program Job Description ROLE The role is aligned to our Data&AI division focused on early-stage engagement with clients, helping our commercial teams structure and estimate programme deliveries. The role will involve a deep knowledge of the technology we … and how we do it with the Microsoft Technology stack. It will suit a technically minded person who has previously had strong experience in a consultancy role, delivering enterprise data platform solutions and working with clients to scope, design and estimate new projects. You may also have worked in a pre-sales role before, but this is not essential. More ❯

The platform consists of about 180 team members, with 120 focused on business operations and 60 on IS and Data. Role Overview: In this role, you will join our "Data Team" to work on various use cases related to our Data Platform, including Financial Closing reports, Customer Business Reporting, Green Energy Reporting, and regulatory reporting. Key Responsibilities: Serve … as a bridge between product owners, internal customers, and the technical Data Team, ensuring clear understanding of business requirements. Collaborate with stakeholders to analyze business needs and translate them into clear data models. Engage with application and source data owners to map out functional data flows, leveraging your technical expertise to ask critical questions. Plan, organize … and execute functional testing, creating concrete test plans and participating in test execution. Tackle complex analytical challenges and provide data-driven insights to support business decisions. Use tools like SQL, Dataiku, and Python to gather and manipulate data. Create reports and visualizations using Power BI to communicate findings effectively. Prepare data products for transition to the service mode More ❯

seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging More ❯

seeking a Senior Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal candidate will have expertise in data pipeline orchestration (e.g., Airflow), data lake and warehouse architecture and … development, infrastructure as code (IaC) using Terraform , and data extraction from both structured and unstructured data sources (e.g. websites). Knowledge using the Microsoft Azure ecosystem, MLOps, Kubernetes , and other modern data engineering practices. Core Responsibilities Data Architecture & Development: Devesign and implement scalable, secure, and high-performance data lake and data warehouse solutions. Lerage … best practices in schema design, partitioning, and optimisation for efficient storage and retrieval. Build and maintain data models to support analytics and machine learning workflows. Pipeline Orchestration: Develop, monitor, and optimize ETL/ELT workflows using Apache Airflow. Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data More ❯

will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise will play a crucial role in transforming images into structured data and driving product enhancements that meet our client's needs. We are committed to democratising Computer Vision in the retail space, and your contributions will directly influence the impact … of our solutions across various sectors. Responsibilities Model Development: Design, build, and deploy Large Vision Models (LVMs) for applications focused on enhancing customer experience, workforce efficiencies, and product performance Data Preparation: Collaborate with data engineers to collect, preprocess, and curate large visual datasets required for training models, ensuring high-quality data pipelines Algorithm Optimization: Iterate on model … advances in machine learning and computer vision. Drive innovation by applying new techniques and methods to our projects Requirements Educational Background: Master's degree or equivalent experience in Computer Science, Data Science, or a related field with a strong focus on machine learning Professional Experience: 5+ years of hands-on experience deploying Computer Vision models in production More ❯

Company You'll Join At Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. Our cutting-edge Taste AI technology analyzes vast amounts of data-over half a billion records spanning public figures, places, and cultural entities-to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts … matter. And we do it without relying on personally identifiable information . Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information. Following our Series C funding, we're growing our team to expand our reach and continue redefining what's possible with Taste AI. This role … meet you. The impact you'll have: As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring More ❯

us build simple, convenient, and delightful financial experiences tailored to our customers. You’ll be joining us within the Business Intelligence team that is primarily responsible for our core data model and dashboards You'll thrive in a unique and varied role, while shaping the way we provide our customer experience Joining Cushon, you’ll help our customers get … comfortable with their finances, and support our vision, being responsible for backend data modelling, ETL, and regulatory reporting We are looking to pay a salary in the region of £45,000 -£52,500 What you'll do In this key role, you’ll contribute to our function’s purpose by helping our colleagues, members and clients to make optimal … decisions efficiently and at scale using data, ML and AI. This comprises our Business Intelligence, Data Engineering and Data Science teams to work together closely. You’ll also be: Designing and documenting our core data models, and implementing them through efficient SQL-based ETL workflows that deliver clean, high-quality data into our data More ❯

and Marketing leadership team at Cleo, you'll work closely with managers across brand, performance, product marketing, lifecycle, and data. You'll play a critical role in shaping our data-led strategy for efficiently acquiring users. Collaborating closely with growth marketing, brand marketing, and executive stakeholders, you'll define strategies to scale growth effectively and solidify Cleo’s position … decisions around channel investment, creative strategy, campaign planning, and product-led growth initiatives. What you’ll be doing Partner with Marketing leadership to shape long-term marketing strategies using data to evaluate performance, forecast outcomes, and influence channel and budget decisions. Support the development of scalable marketing measurement frameworks (e.g. media mix modeling, CPA forecasting, LTV modelling, Lift Testing … on the highest-leverage initiatives. Foster a strong analytics culture that balances speed with rigour, and drives curiosity, experimentation, and commercial thinking. Hands-On Analytical Contribution Collaborating with the data science teams to develop, validate, and operationalise Marketing Mix Models (MMM) that inform budget allocation and channel strategy. Leading the design, implementation, and interpretation of conversion lift tests More ❯

your interest in this assignment, please contact David Meggitt (during business hours) on our B2E Support line - tel: (0)7751 269 557. Summary Do you have experience of providing Data Insights to support data driven decision making for the leadership of a Sales Operations team? This consulting opportunity is to support our client (a leading consumer electronics company … to ensuring data accuracy on, developing project management tools and delivering analysed data as actionable insights. The project needs a consultant who has: Experience building and enhancing dashboards using Tableau to report on data used to support decision making Experience working cross functionally with multiple partners in large organisations, including internationally Strong problem solving, data management … UI/UX and the ability to advocate on behalf of different teams or user groups, working with project managers and system developers. High proficiency in building dashboards with data visualisation software, experience with Tableau An understanding of working across multiple data universes and writing queries using SQL Storytelling through data, business planning and forecasting. Mandatory Requirements More ❯

Job Position: Graduate Digital Analyst - via the Graduate Development Programme Locations: London Starting Salary: £28,000 Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject Experience in analysing data Right to work in the UK unsponsored for the duration of the programme Ability to work on site 5 days a week … while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns, and the ability to tell a compelling story using data, you'll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives … together. Understanding the types of roles available to a Graduate Digital Analyst: Data Analyst: Transform complex data into actionable insights, create dynamic visualisations, and drive business decisions. Work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards while refining your technical expertise in a fast-paced environment. Data Engineer: Design and maintain data More ❯

self-starter to serve as an ADVANA Developer supporting the Southern Command Operations, Planning, and Engagement Support (SCOPES) program. This position will reside in the Office of the Chief Data Officer as part of a project spanning various development, data science, and knowledge management functions. This position requires a strong background in software development, data engineering … principles, and cloud technologies. The ADVANA Developer will contribute to building and enhancing capabilities that enable data-driven decision-making for SOUTHCOM. Responsibilities: • Design and Development: Participate in the full software development lifecycle, including requirements gathering, system design, development, testing, and deployment of applications and data pipelines within the ADVANA environment. • Data Engineering: Develop and maintain robust … and scalable data pipelines to ingest, transform, cleanse, and integrate data from various DoD source systems into the ADVANA data lake. • Cloud Technologies: Utilize and contribute to the development within ADVANA's cloud based architecture, leveraging cloud-native services for data storage, processing, and analytics. • Programming and Scripting: Write efficient and maintainable code in languages such More ❯

teams to develop and integrate advanced computer vision technologies that detect operational anomalies in real-time, improve equipment reliability, and enhance process efficiency. Key responsibilities include applying computer vision, data modeling, optimization techniques, and advanced analytics (e.g. statistical analysis, regression, DOE) to drive data-informed decisions on processes and designs, integrating new solutions into daily workflows to enable … strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results. The ideal candidate will have experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to … develop and define key business questions and to build data sets. You should have demonstrated ability to think strategically and analytically about business, product, and technical challenges. You must be responsive, flexible, and able to succeed within an open collaborative environment. Amazon's culture encourages innovation and expects to take a high-level of ownership in solving complex problems. More ❯