2,026 to 2,050 of 2,274 Permanent Data Science Jobs

seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it's missing. Our products We have a suite of API products that automate tax-related workflows for any … internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you can recognise … product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including More ❯

of the key levers for attracting and retaining great talent, yet most companies are struggling to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That's why we created Ravio. We help some of the world's most innovative and ambitious companies build stronger teams and … Role At Ravio we're obsessed with building best-in-class products for our customers. As a Product Manager, you will work closely with all teams (including Engineering, Design, Data Science, Marketing, Customer Success, and Sales) to solve customer pain points and deliver outstanding product experiences. As a Product Manager with 2 - 5 years experience, you will have … including managing the roadmap, defining requirements, collaborating with design & engineering, and launching products. Drive product & technical innovation: Develop and execute product strategies that solve complex customer problems by leveraging data and Unlock business value: Partner with Sales, Customer Success, Operations, and others to identify ways that the Ravio product and roadmap can deliver their business outcomes. As an early More ❯

We do this by putting innovative and effective technology into the hands of over 200,000 users, from the boardroom to the front line. We lead on cutting-edge data science, automation, and cyber security at scale. Our mission goes beyond the battlefield by leading humanitarian efforts and driving digital innovation that impacts lives across the globe. Defence … groups. Assist in delivering the vision for the programme in collaboration with the Programme Technical Manager. For more information on the Technical Architect profession, see the Government Digital and Data Framework. To succeed as a Technical Architect, you should have experience in: Architecting within a broader context, collaborating with professionals, tracking issues, and understanding team contributions. Communicating architecture effectively … across levels. A proactive approach to identifying technical issues and translating them into understandable descriptions for delivery teams. Ability to identify and address architectural risks in areas like business, data, or security. Providing guidance and support to teams using technical designs throughout their lifecycle. Behaviours Assessment will include: Seeing the Big Picture Communicating and Influencing Technical skills Assessment will More ❯

a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing. Apply professional knowledge of computer science, mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct … new processes for modeling and interpreting trends, relationships, and correlations among or within data sets. Deliver data visualizations, analytics, and processing capabilities. More ❯

heart of building exciting new features and will to help maintain and raise our standards. You'll be working in a cross functional product squad, with Product, Design and Data Science on a modern tech stack, including: Java, Kafka, Postgres as well as integrations with our external providers. Our cross-functional teams collaborate with stakeholders across the business … CI and processes Participate in planning, stand-ups and retrospectives. Coach and collaborate with other engineers alongside regular work Design and implement highly efficient architecture that scales for our data and user demand. Explore innovative ways to solve problems, and become an expert in complex systems. Deliver features regularly, be comfortable with ambiguity, and push for code quality while … drive our decisions, shape our culture, and define who we are as a team. Learn more about them here. Specifically this means: You love being Outcome Focused and use data and feedback to solve problems, You are output focussed, by demonstrating the ability to implement engineering efficiencies in a Backend or Senior Backend role. You Win Together, embracing and More ❯

The Software Engineer will run build and work on enterprise grade software systems using a modern tech stack including PySpark with Databricks for data engineering tasks, infrastructure as code with AWS CDK and GraphQL. As a Software Engineer, you are expected to work with architects to design clean decoupled solutions; create automated tests in support of continuous delivery; adopt … a culture of continuous improvement and delivery and engage in peer review of code across the team. You will work closely with Business Analysts and Software QA Engineers and Data Scientists to deliver high quality software. You are encouraged to be actively involved in the DevOps processes and take responsibility for the code and infrastructure you deploy. The successful … keen desire to keep on top of the ever-updating tech curve, and a drive to continuously hone their craft. The successful candidate should have experience working on big data solutions, with an understanding of developing complex enterprise data ETL pipelines and projections. PRINCIPAL RESPONSIBILITIES Adhere to development standards defined by your team leader to ensure you write More ❯

analysts responsible for developing the credit and pricing strategies as we evolve our existing propositions and develop new products and distribution strategies. Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We're great believers in powerful, real-time analytics and empowerment of the … wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses. Join a team where your ideas can rapidly transform into reality, leveraging … our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way. How you'll contribute: Lead a team of analysts that will develop credit More ❯

analysts responsible for developing the credit and pricing strategies as we evolve our existing propositions and develop new products and distribution strategies. Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We're great believers in powerful, real-time analytics and empowerment of the … wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses. Join a team where your ideas can rapidly transform into reality, leveraging … our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way. How you'll contribute: Lead a team of analysts that will develop credit More ❯

led approach to Distribution across Marketing, Sales and Client Management. Sitting within the Distribution business management function (DSG), the Distribution Insight team are the powerhouse driving our approach to data-driven, insight led decision-making and commercial execution. In this senior role you will lead our efforts in this space, partnering with distribution leadership, enterprise tech/data … development campaign insight, sales funnel optimization & implementing AI capabilities across the spectrum of marketing, sales & client management functions. You're likely an evangelist for story telling through creative, compelling data visualization, able to see simple patterns and connections where others see complexity and relish in the ability to bring people on the journey. You'll have a keen interest … across Sales, Marketing and Client Management to understand business needs and opportunities, then developing ideas and solutions to solve for them. Building/running the Distribution Insight team, comprising data scientists and insight product management across the UK and India. Leading the 'insight sales' strategy and providing clear visibility to Distribution leadership, outlining the vision, the investment required to More ❯

At TMSV we deliver and we need talented teammates willing to be a part of a growing and dynamic team of trusted professionals. We are looking for a seasoned Data Engineer to join our team and support our customer in Elkridge, MD. Description As a Data Engineer/Integrator, your role entails collaborating closely with a team of … developers to fulfill data integration requirements. This involves writing and maintaining code using an Extract-Transform-Load (ETL) platform to ensure data is transformed into suitable formats as defined by IC ITE initiatives. You will interface with external teams and systems, employing various protocols including HTML and SFTP to collect data efficiently. Additionally, your responsibilities include enhancing … the ETL platform by adding features aimed at shortening timelines for future data integration efforts. Beyond coding tasks, you'll develop and maintain software, ensuring seamless integration into a fully functional system. Collaboration with external teams will be necessary to validate data ingest processes. Finally, you'll be responsible for providing comprehensive documentation covering system architecture, development, and More ❯

Lead Data Scientist - Marketing Salary: Up to £100k Location: Hybrid, London Data Idols are proud to be partnering with a major player in the logistics space as they expand their high-performing marketing team. They're on the hunt for a Lead Data Scientist to bring cutting-edge insight, strategic thinking, and a love of data to the forefront of their decision-making. The Opportunity You'll be stepping into a key leadership role, tackling everything from propensity modelling to designing robust data architecture frameworks. Working hand-in-hand with engineers and product teams, you'll transform complex data into actionable marketing strategies that drive real business impact. From marketing mix modelling (MMM … and attribution analysis to statistical testing, you'll harness customer behaviour and insights to shape the future of data-driven marketing in a fast-moving, customer-focused environment. What's in it for you? Competitive salary package Hybrid working flexibility with a modern office in Hammersmith Career progression opportunities within a growing logistics business Collaborative, inclusive, and supportive team More ❯

and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and external sources using tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them … in AI domain, from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises and present them in an appropriate format according to … the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such More ❯

progress. My Client is a leading and fast-growing company in their industry, with an appetite for growth and innovation, constantly looking to do things better and faster, using data-driven decisions. You will make an impact and quickly see the results of your work. Responsibilities: Aid in the migration and analysis of data and the creation of … one, unified data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background … with knowledge of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science More ❯

As an AI Engineer, you will design, build, and deploy machine learning models and intelligent systems that drive our products. You'll collaborate closely with data scientists, product teams, and software engineers to deliver AI solutions that are scalable, reliable, and innovative. Key Responsibilities Develop, train, and deploy machine learning and deep learning models for production use. Collaborate on … data collection, processing, and feature engineering for AI pipelines. Build scalable APIs and services to deliver AI capabilities within Magentic's products. Optimize model performance for speed, accuracy, and efficiency in real-world scenarios. Stay current on the latest AI research and bring new ideas into our tech stack. Contribute to engineering best practices, code reviews, and technical documentation. … production environments. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, scikit-learn. Experience designing and deploying models using cloud platforms (AWS, GCP, or Azure). Solid understanding of data structures, algorithms, and software engineering principles. Experience with APIs, data pipelines, and model-serving infrastructure. Strong problem-solving and communication skills; ability to work cross-functionally. More ❯

Senior/Principal Data Scientist - Cross Indication London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays … also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be … to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and More ❯

ll Bring We're looking for exceptional talent with experience of working in the consulting industry to join us. You will typically have: A master's degree in Computer Science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. 3 to 10 years' experience in IT strategy and consulting, professional More ❯

re looking for exceptional talent with experience of working in the consulting industry to join us. You will typically have: A bachelor's or master's degree in Computer Science, Engineering, or a related field. Preferably with a focus on artificial intelligence, machine learning, or data science. 3 to 10 years' experience in IT strategy and consulting, professional More ❯

do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you'll realise that ours is a modern software engineering environment because it has to be. We've made serious investment into a … our new Artificial Intelligence & Machine Learning platform. What you'll do Own and evolve a newly built ML Ops platform on Microsoft Azure, supporting the full ML lifecycle-from data sourcing & feature engineering to training, deployment, and real-time serving. Architect scalable, secure, and cost-effective solutions, making key build vs. buy decisions to maximise business impact. Drive innovation … ML capabilities such as graph neural networks and LLM Ops. Oversee the migration & modernisation of existing ML models into a unified strategic stack. Enable multiple cross-functional teams of data scientists and ML engineers, supporting AI-driven automation across the business -from personalisation to logistics optimisation. Own the end-to-end delivery and operations of the platform, balancing feature More ❯

Machine Learning Operations Lead Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models … into the live pricing environment. The ML Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. Ensure … Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Experience in Data (Delta) Lake Architecture (Azure). Excellent problem-solving skills and ability to work in a collaborative environment. Strong communication skills and ability to work with cross-functional teams. Experience More ❯

including memory, guardrails, orchestration, trace management, and tool marketplaces. System Integration - Integrate AI and GenAI applications into existing systems and workflows, ensuring smooth and efficient operation. Infrastructure - Collaborate with data engineering teams to build scalable data pipelines and infrastructure supporting AI apps and agents. Evals - Monitor and evaluate the performance of AI apps, agents, and the overall agentic … AI system. Stakeholder Collaboration - Work closely with cross-functional teams, including project managers, platform engineers, data engineers, solution engineers, data scientists, and business stakeholders to define, design, and implement new features. Stay Updated - Keep current with the latest trends and advancements in AI and machine learning, and apply relevant innovations to projects. Documentation and Knowledge Sharing - Document work More ❯

this role, you will own the backend of our new Product - the Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record. You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services. As an early member … member of the Maker Team, you'll have the opportunity to shape our technical direction, processes and culture. Part of your day-to-day Writing algorithms to process complex data structures Developing data and ML training pipelines (dataset creation, model training, and evaluation) Working closely with Data Scientists and ML Engineers to design the architecture of our … performance. Monitoring model deployments to anticipate and mitigate system performance issues (disk utilization, memory and CPU usage) Build and enhance tools for monitoring and measuring model accuracy, performance, and data quality Documenting procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring Participating in hiring and onboarding new team members; taking More ❯

Data Scientist -UAE National , AWS Generative AI Innovation Center Job ID: Amazon Web Services EMEA Dubai FZ Branch - Q29 Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists, data … and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. ( generative-ai-innovation-center). We're looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers … joiner, you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach. Emirati nationality is required. Key job responsibilities As a Data Scientist, you will - Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact More ❯

Data Scientist Location: Manchester (Hybrid - 2 to 3 days on-site) Salary: Up to £55,000 + benefits Industry: eCommerce I'm recruiting on behalf of a fast-growing eCommerce business in Manchester that's looking for a Data Scientist to join their team. It's a hands-on role with a real opportunity to build and deploy … re keen to turn that into smarter recommendations, better pricing strategies, and predictive insights that drive growth. You'll be leading on end-to-end model development: exploring the data, experimenting with algorithms, tuning performance, and deploying models into production. This isn't a research role, they want someone who enjoys solving real business problems and seeing their work … difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP Bonus if More ❯

cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Data Scientist III Introduction to team: The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, and Vrbo. This division creates compelling and differentiated traveler value … allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. We are looking for an experienced Data Scientist to join the Product Analytics team that is working on Property Experience and Offers. As a Data Scientist, you will help identify insights to improve the traveler … aggression, multivariate analysis. You will display advanced domain ( i.e. , travel, online retail) knowledge, business acumen (understanding the underlying business objectives) and critical reasoning skills. You will know and apply data visualization principles consistently resulting in clear and consistent outcomes. You will influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around More ❯

sector. As we look to enhance our current solutions and broaden our software capabilities, we are seeking a skilled Technical Consultant to play a key role in bridging our data engineers, data scientists, and subject matter experts (SMEs) with our software development team. We specialise in engineering and logistics within the aviation industry, leveraging deep expertise and a … system architecture, tools, and frameworks. Identify opportunities for automation and process improvements. 4. Software Architecture & Development Strategy Advise on scalable and efficient system architectures Support API design, integrations, and data flow strategies. Recommend suitable technology stacks for new projects or modernisation efforts. 5. Security & Compliance Assess application security risks and provide remediation strategies. Ensure compliance with industry standards (ISO … technical workshops and training sessions for development teams. Act as a bridge between technical and non-technical stakeholders, translating complex concepts into business value. Support decision-making through clear, data-driven insights. Train clients on new solutions, including developing training materials, conducting hands-on training sessions, and providing ongoing support to ensure successful adoption More ❯