776 to 800 of 1,346 Data Science Jobs

programming in C, C++ or C# 5+ years of experience in embedded software development Preferred Qualifications (Desired Skills/Experience): Level 4: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer … science and 9+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience 5+ years of experience developing automation testing & maintaining automation tools 5+ years of experience with automation and robotic applications development 5+ years ...

experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated … Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy. \n FinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute ...

experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated … Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy. \n FinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute ...

Descriptionhackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role.\ Ndunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight … Tesco, Coca-Cola, Nestlé, Unilever and Metro.\ NAt dunnhumby, we’re building a unified intelligence layer, a modern platform designed for AI, real-time data, and scale. This new architecture replaces heritage products that worked in isolation, enabling tailored experiences for different personas and workflows that span across silos. ...

unique opportunity to gain hands-on experience working alongside senior researchers and industry experts in a collaborative environment. You will be involved in data collection, algorithm development, experimental design, and analysis, contributing directly to research outputs that have real-world applications. This role is ideal for fresh graduates … your career in AI research Key Responsibilities: Assist in conducting AI research and experiments under the guidance of senior team members Analyse and interpret data to support ongoing projects Contribute to the preparation of research reports and publications Participate in team meetings and knowledge-sharing sessions Stay ...

skills they need to thrive in an increasingly agentic world.\ NRole Description\ NA hybrid role focusing on the intersection of business processes and data strategy. They work closely with Process and Operations Subject Matter Experts (SMEs) to ensure the data solutions actually land and are adopted … resolve conflicting metric definitions (eg; standardising RevPAR across departments).\ NInvestigate and map out complex business logic and operational workflows to ensure the data products solve actual pain points rather than just presenting numbers.\ NDrive cultural change and data literacy within the specific business domain to ensure ...

part of and for the planet. \n About the role \n The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. \n Working in close partnership with business and technology teams across Stores, Finance … People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. \n This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving ...

part of and for the planet. \n About the role \n The Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem. \n Working in close partnership with business and technology teams across Stores, Finance … People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value. \n This is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving ...

pipeline development using GitLab CI Experience with monitoring, logging and alerting tools Understanding of secure DevOps practices in regulated environments Experience working with large data stores or big data platforms Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains … within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels ...

engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives. Define success metrics, analyse performance data, and identify opportunities to drive growth in sponsored listings through auction improvements. Leverage AI and GenAI tools to accelerate product development, enhance decision‐making … drive innovation in auction optimisation. Collaborate with cross‐functional teams including product managers, engineering leaders, data scientists, and business stakeholders to deliver impactful features. Work closely with engineering teams to translate product requirements into technical solutions. Communicate product strategy, progress, and insights to senior leadership and stakeholders across ...

engineering teams to design, implement and optimise auction algorithms that balance traveler experience, partner value, and business objectives Define success metrics, analyze performance data, and identify opportunities to drive growth in sponsored listings through auction improvements Leverage AI and GenAI tools to accelerate product development, enhance decision‐making … drive innovation in auction optimization Collaborate with cross‐functional teams including product managers, engineering leaders, data scientists, and business stakeholders to deliver impactful features Work closely with engineering teams to translate product requirements into technical solutions Communicate product strategy, progress, and insights to senior leadership and stakeholders across ...

accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across … team. Strong problem-solving skills and a proactive, self-directed approach to work. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with ...

they need to thrive in an increasingly agentic world. \n Role Description \n A hybrid role focusing on the intersection of business processes and data strategy. They work closely with Process and Operations Subject Matter Experts (SMEs) to ensure the data solutions actually land and are adopted … resolve conflicting metric definitions (eg; standardising RevPAR across departments). \n Investigate and map out complex business logic and operational workflows to ensure the data products solve actual pain points rather than just presenting numbers. \n Drive cultural change and data literacy within the specific business domain ...

they need to thrive in an increasingly agentic world. \n Role Description \n A hybrid role focusing on the intersection of business processes and data strategy. They work closely with Process and Operations Subject Matter Experts (SMEs) to ensure the data solutions actually land and are adopted … resolve conflicting metric definitions (eg; standardising RevPAR across departments). \n Investigate and map out complex business logic and operational workflows to ensure the data products solve actual pain points rather than just presenting numbers. \n Drive cultural change and data literacy within the specific business domain ...

About DataCamp At DataCamp, we believe in empowering individuals and teams through data literacy. As a leading platform for data science and analytics education, we offer engaging, interactive courses designed by top experts. Our mission is to make data skills accessible to everyone, helping learners … organizations thrive in the data-driven world. With a diverse community of millions of learners, we provide a supportive and dynamic environment where you can grow your career and make an impact. Join us and be part of our journey to democratize data education! About the role ...

Help shape data products that drive better decisions across a complex, fast-moving business. Join a collaborative product team working at the heart of data and analytics. Work with Snowflake, SQL and BI tools. 12-month fixed-term opportunity with stakeholder exposure and genuine impact. … data professional who enjoys solving business problems and turning complex requirements into meaningful insight? This Product Data Analyst opportunity offers the chance to work within a multidisciplinary product team, helping to deliver data and insight solutions that support decision-making across a large operational environment. What ...

design, implement, and optimise auction algorithms that balance traveler experience, partner value, and business objectives./li li Define success metrics, analyse performance data, and identify growth opportunities through auction improvements./li li Leverage AI and GenAI tools to accelerate product development, enhance decision making, and drive innovation … auction optimisation./li li Collaborate with cross functional teams including product managers, engineering leaders, data scientists, and business stakeholders to deliver impactful features./li li Work closely with engineering teams to translate product requirements into technical solutions./li li Communicate product strategy, progress, and insights ...

within complex financial services and capital markets environments. This role is suited to someone who combines strong technical architecture experience across AI, cloud and data platforms with the ability to turn business challenges into secure, scalable solutions. You will work alongside AI Engineers, Data Scientists and wider technology … Designing solutions using LLMs, RAG, embeddings and modern AI frameworks Integrating AI capabilities into existing enterprise platforms and applications Working closely with AI Engineering, Data Science and MLOps teams Supporting governance, security and responsible AI considerations Providing technical leadership and guidance across delivery teams What you’ll bring ...

current production deployments Stay updated with the latest industry trends and technologies to keep systems modern and efficient Qualifications: Bachelor’s degree in Computer Science or related field 15+ years of software development experience 5+ years in a leadership and people management experience Expertise in multiple programming languages, with … technical stakeholders Excellent written and verbal English communication skills, and ability to work effectively in a collaborative team environment. Nice to have: experience with Data Platforms, ETLs, and Data Science Nice to have: experience with cloud services (AWS, GCP, Azure) Leadership & Team Management Lead, mentor, and inspire ...

helping customers understand the real cost of sending money and why Wise is the better choice. You'll own the systems that collect pricing data from competitors and make it accessible across Wise, powering comparison tools and enabling data-driven decisions.\ NThis means building robust scrapers, reliable data … that power Wise’s comparison experiences.\ N\n\nMake scrapers feel “magical”: help define the roadmap for using LLMs and proven techniques to make data collection more stable, faster to evolve, and easier to scale.\ N\n\nTurn competitive pricing into a real-time advantage: expand and strengthen ...

communities we are part of and for the planet.\ NAbout the role\nThe Product & Engineering team is responsible for designing, building and scaling Data & AI products that power intelligent experiences, decisions and actions across the Tesco ecosystem.\ NWorking in close partnership with business and technology teams across Stores, Finance … People, Customer and Commercial, we enable the seamless build, integration and adoption of Data & AI capabilities that deliver measurable value.\ NThis is an opportunity to play a leading role in shaping a new generation of Data & AI products, from problem definition through to launch and scale, driving meaningful ...

Manager role at a pivotal moment of organisational transformation, where analytics is central to shaping commercial strategy. You will work at the intersection of data and decision-making, influencing senior stakeholders and driving measurable business outcomes across both digital and physical channels. The Company They are a large, consumer … markets, with a strong focus on innovation, sustainability, and social impact. The business is undergoing significant transformation, with a clear ambition to embed a data-led culture across all functions. Analytics sits at the heart of this change, supported by a growing investment in data, technology, and talent. ...

experimental models into production-grade services that are reliable, scalable, and cost-effective. Your mission is to build the "highway" that allows our data science team to deploy models rapidly while ensuring those models are observable and fiscally responsible. You will own the entire ML lifecycle—from automated … Observability: Establish and own the telemetry framework for the AI stack. Implement proactive monitoring for system health and model-specific metrics, such as data drift, concept drift, and prediction accuracy.\ NFinOps & Cost Management: Own the strategy for AI cloud spend. Build monitoring and alerting frameworks to track compute costs ...

independent study, attending industry‐leading conferences, experimentation and participation in knowledge‐sharing community. Required Qualifications, Capabilities, and Skills PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience. Solid background … outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems and LLM evaluation. Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific ...

price optimisation analysis and modelling using advanced techniques. Develop customer propensity and Lifetime Value (LTV) models. Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms … e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking ...