501 to 525 of 1,032 Data Science Jobs

export control, open-source background checks may be conducted on qualified candidates for the position. DTU Compute DTU Compute - Department of Mathematics and Computer Science - is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world ...

currently looking for a Chief Commercial Officer (CCO) to join an innovative deep-tech organisation based in Edinburgh. Our client combines AI, data science and advanced sensing technologies to transform how biological and environmental risks are identified and managed. This is a pivotal executive role responsible for leading … partner relationships, leading high-level commercial negotiations and strategic partnerships. • Identify and enter new markets and geographies, positioning the organisation as a leader in science-led, data-driven solutions. • Develop and implement go-to-market strategies that effectively communicate the value of both products and services. ROLE REQUIREMENTS ...

seeking an experienced and results-driven Senior Recruitment Consultant to specialise in contract Data recruitment in our London-based Eames Consulting team. You will play a key role in driving the recruitment strategy for our data-focused clients, ranging from start-ups to large enterprises. The ideal candidate … will have in-depth knowledge of the data sector, including roles such as Data Analysts, Data Engineers, Data Scientists, and Data Architects. You will be instrumental in building and nurturing client relationships while delivering top-tier talent. Who you are 360 Contract Data Recruitment ...

looking for a curious, driven individual with a background in Computer Science or Computing to join us as our Applied AI Apprentice. This is a rare opportunity to work directly with the leadership team on real-world AI projects that shape how we operate and deliver value … recruitment workflows across the group Experimenting with large language models (LLMs), APIs, and emerging AI platforms to solve real business challenges Developing internal dashboards, data pipelines, and reporting tools to support commercial decision-making Researching and evaluating new AI technologies, tools, and vendors relevant to talent acquisition and professional ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is critical to assessing and improving an established Snowflake environment … driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics and ML Ops workflows. Role The Data Engineer will own and assess the Snowflake platform, proposing and executing optimisation around performance, cost, scalability, and architecture improvements. Lead DBT development and maintenance, with emphasis ...

1. Support Global AI Client Acquisition: Assist the team in scaling outreach to global AI clients—including AI-native startups, ISVs, AI data providers, and enterprises undergoing AI transformation—to help build a high-conversion sales pipeline through lead research, client profiling, and outreach support. 2. AI Sales Process … workshops, demos, and campaigns; help prepare marketing materials and organize events. Qualifications 1. Education: Currently pursuing a Bachelor's degree or above in Computer Science, AI, Data Science, Business, Marketing, or related majors. 2. Availability: Minimum 3 days per week on-site, able to commit ...

Data Engineer/Scientist - Life Sciences Winnersh - 2 days onsite at Winnersh Triangle - 45 mins by train from Paddington £60,000–£67,000 (depending on experience) + Company Car Build The Data Foundation. Then Build Predictive Models Most data engineering roles stay data engineering roles. This … t. You studied maths, stats, physics, or maybe even Operations Research. You only took a data engineering job because it was the sensible move and there weren't many opportunities available to become a Data Scientist. But deep down, you know you're capable of more than just ...

change across the global people transportation vertical. Full-Stack AI/ML Development & Deployment Design and implement production-grade AI/ML solutions, covering data ingestion, model development, deployment, monitoring, and maintenance. Develop end-to-end MLOps pipelines, ensuring automation, reproducibility, and scalability. Advise on and help to optimize … Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases. Optimization & Scheduling: Constraint optimization (eg. LP), Reinforcement Learning. Education Minimum Bachelors in Computer ...

Index R&D team is part of MSCI's broader Index Research and Development organization, driving innovation through the integration of artificial intelligence and data science into index research, construction, and delivery. Our team develops AI-powered tools, frameworks, and workflows that enhance the efficiency, scalability, and insight … generation of index research. We work closely with Data & AI, Index Engineering, and Index Product teams to explore how large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems can transform how MSCI designs, evaluates, and communicates index methodologies. The team operates at the intersection of AI research ...

experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Preferred Qualifications (Desired Skills/Experience): 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 7+ years of related work experience OR Bachelor's Degree and 13+ years of directly related work experience OR 17+ years of related, relevant experience Experience with cloud platforms Experience with Agile software development and related processes Knowledge of industry standards and best practices in the area ...

Required skills: Required Skills, Characteristics & Experience Experience operating as a Performance Analyst within a UK Government setting. NHS experience preferred but not mandatory Excellent Data Analysis/Data Science skills and experience, including use of BI, Excel and other tools Strong Python, R, SQL skills and experience … Experience extracting and collating data from multiple legacy systems Experience with Data Reporting tools (e.g. Tableau/PowerBI) Experience working in an Agile and dynamic delivery environment in which change and ambiguity often exist Soft skills are just as important as technical skills for this role ...

team, supporting a range of organisations across banking, fintech, and payments. As an Analytics Lead, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Analytics Lead will play a key role in leading projects end-to-end, combining … strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking ...

believe in equal opportunities, cultural diversity, and shared success. For an exciting assignment with our customer, Siemens Smart Infrastructure, we are looking for a Data Engineer (f/m/d) who is passionate about designing and operating highly scalable cloud native data platforms on AWS, enabling data driven development, and supporting advanced AI/ML solutions in a complex IoT environment. If you are an AWS strong Data Engineer with production experience, we value this more than prior domain specific background. In this project-based role, you can work from anywhere in Austria. The position ...

intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge … perfect role for you. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. … highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/ ...

identification and structuring: Partner with regional leadership and their teams to identify high-impact AI opportunities. Translate business challenges into structured project briefs (scope, data needs, KPIs). Ensure use cases are sufficiently mature and viable before submission to the the CoE. Adoption and change management: Lead the regional … experience and competencies required to be successful in this role: Background: Proven experience in one or more of the following: product management in a data/AI context, technical project management, business analysis within engineering-driven organisations, or a data science/ML engineering role that evolved ...

Head of Data required by a well-established, technology-driven organisation who are investing heavily in their data and product capabilities. As part of this growth, they are looking to appoint a Head of Data to lead and evolve both functions, driving real business value through technology … insight and innovation. This is a senior leadership role where you'll take ownership of the data and product strategy, shaping roadmaps, improving operational efficiency and delivering impactful software and analytics solutions across the business. The Role As Head of Data, you will lead multidisciplinary teams across Product ...

technologist with 20+ years of experience , combining deep hands‐on engineering capability with strategic advisory skills. You will sit at the intersection of AI, data, product, and business , translating ambiguous commercial objectives into deployable, production‐grade solutions that directly support transaction strategy, value creation, and post‐merger integration. … cases Translate complex business and transaction challenges into concrete technical and architectural solutions Forward Deployment & Solution Delivery Lead forward deployment of AI, data, and analytics solutions directly within client environments Design and implement end‐to‐end solutions covering data ingestion, modeling, orchestration, and deployment Rapidly prototype, iterate ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...