951 to 975 of 1,797 Permanent Data Science Jobs

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

tuned LLM. The next step is scaling the organisation as they look to move towards their Series A. Please only apply if you have a Masters + in Computer Science What you’ll do Build and fine-tune AI models (LLMs and transformer-based architectures). Work directly with customers to integrate and test new features. Develop and improve … agent framework. Gather and act on client feedback to enhance product performance. Take part in design and architecture discussions. About you Master’s or PhD in AI, Machine Learning, Data Science, or Computer Science (Russell Group or similar). Strong Python skills (Pandas, NumPy). Experience or exposure to NLP, transformers, and LLMs. Familiarity with ML tools More ❯

Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, chemistry, physics, mathematics, data science, or computer science (Level 4) 9+ years of work related experience with … as Jira and Confluence Typical Education/Experience: Senior (Level 4) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work More ❯

Data Scientist (Sports Analytics Football Focus) Were excited to be partnering with a new client a rapidly growing sports data consultancy that is extending its Data Science team. This is a fantastic opportunity to join a business at the cutting edge of football analytics, where raw data is transformed into actionable insights that drive smarter More ❯

Innovation & Growth Location: Norfolk – Hybrid (2–3 days in office) Salary: £95,000 – £120,000 + bonus + benefits Start Date: ASAP The Company A global energy intelligence and data organisation working at the forefront of renewable markets, offshore wind, and low-carbon technologies. The business combines deep market research with advanced analytics to provide insights that shape the … energy transition. You’ll be joining a fast-scaling firm that has grown rapidly through data innovation and thought leadership, with clients spanning developers, investors, and governments worldwide. This role sits at the intersection of commercial strategy, product innovation, and data-driven insight , leading a high-performing team tasked with defining the future of the company’s digital … As Director of Innovation & Growth, you’ll lead strategic product development and commercial expansion across global renewable energy markets. You’ll work closely with executive leadership to shape how data, technology, and insight products evolve to meet changing client demands. This is a senior, highly visible role—ideal for someone who thrives on blending commercial strategy with data More ❯

Innovation & Growth Location: Norfolk – Hybrid (2–3 days in office) Salary: £95,000 – £120,000 + bonus + benefits Start Date: ASAP The Company A global energy intelligence and data organisation working at the forefront of renewable markets, offshore wind, and low-carbon technologies. The business combines deep market research with advanced analytics to provide insights that shape the … energy transition. You’ll be joining a fast-scaling firm that has grown rapidly through data innovation and thought leadership, with clients spanning developers, investors, and governments worldwide. This role sits at the intersection of commercial strategy, product innovation, and data-driven insight , leading a high-performing team tasked with defining the future of the company’s digital … As Director of Innovation & Growth, you’ll lead strategic product development and commercial expansion across global renewable energy markets. You’ll work closely with executive leadership to shape how data, technology, and insight products evolve to meet changing client demands. This is a senior, highly visible role—ideal for someone who thrives on blending commercial strategy with data More ❯

Innovation & Growth Location: Norfolk – Hybrid (2–3 days in office) Salary: £95,000 – £120,000 + bonus + benefits Start Date: ASAP The Company A global energy intelligence and data organisation working at the forefront of renewable markets, offshore wind, and low-carbon technologies. The business combines deep market research with advanced analytics to provide insights that shape the … energy transition. You’ll be joining a fast-scaling firm that has grown rapidly through data innovation and thought leadership, with clients spanning developers, investors, and governments worldwide. This role sits at the intersection of commercial strategy, product innovation, and data-driven insight , leading a high-performing team tasked with defining the future of the company’s digital … As Director of Innovation & Growth, you’ll lead strategic product development and commercial expansion across global renewable energy markets. You’ll work closely with executive leadership to shape how data, technology, and insight products evolve to meet changing client demands. This is a senior, highly visible role—ideal for someone who thrives on blending commercial strategy with data More ❯

Innovation & Growth Location: Norfolk - Hybrid (2-3 days in office) Salary: £95,000 - £120,000 + bonus + benefits Start Date: ASAP The Company A global energy intelligence and data organisation working at the forefront of renewable markets, offshore wind, and low-carbon technologies. The business combines deep market research with advanced analytics to provide insights that shape the … energy transition. You'll be joining a fast-scaling firm that has grown rapidly through data innovation and thought leadership, with clients spanning developers, investors, and governments worldwide. This role sits at the intersection of commercial strategy, product innovation, and data-driven insight , leading a high-performing team tasked with defining the future of the company's digital … As Director of Innovation & Growth, you'll lead strategic product development and commercial expansion across global renewable energy markets. You'll work closely with executive leadership to shape how data, technology, and insight products evolve to meet changing client demands. This is a senior, highly visible role-ideal for someone who thrives on blending commercial strategy with data More ❯

I'm working with a global professional services firm to hire for an AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI Data Scientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 , and … Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. What More ❯

I'm working with a global professional services firm to hire for a AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. This is a brand-new role for an … AI Data Scientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function , giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. What you'll be doing: You'll design and deploy next-gen AI solutions using Microsoft Azure , M365 , and … Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers to bring innovative AI ideas to life. What More ❯

execution Develop cyberspace plans, strategies, and policies that align with organizational cyber objectives and mission initiatives Create detailed execution plans for multiple USSF locations, outlining SMEs, analysis timelines, and data collection objectives Assess cyberspace dependencies, vulnerabilities, and risks to mission systems and develop mitigation or defense measures Support Mission Assurance and Functional Mission Analysis Cyber (FMA-C) efforts for … mission-critical systems Conduct in-depth analysis of cyber network activities, control systems, and operational processes to ensure mission continuity Provide mission analysis data to inform cyber defenders, mission owners, and program offices of potential security impacts Required Skills & Knowledge Strong understanding of the difference between critical and non-critical systems, network defense, and operational risk prioritization Experience performing … TS/SCI clearance CISSP or Security+ certification, and one of the following: GICSP, GCED, PenTest+, or GSEC certification OR a B.S. degree in Information Technology, Cybersecurity, Information Systems, Data Science, or Computer Science from an accredited or designated institution Preferred Qualifications Experience with Functional Mission Analysis Cyber (FMA-C) Familiarity with U.S. Space Force capabilities and More ❯

per week in the Vitality London Office. Full time, 35 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Cross-Functional Data Operations & Stakeholder Management Advanced Analytics & Insight Generation Technical People Leadership & Capability Growth What this role is all about: We’re looking for a proactive and collaborative Team Lead to … join our Intermediated Sales Analytics function, supporting across our Intermediates sales teams. This role acts as a key business partner embedded within the sales teams, leading the delivery of data and insight that drives performance and informs strategic decision-making.You’ll manage a team of analysts and senior analysts, ensuring the timely and accurate delivery of tactical reporting to … growth and skill enhancement Team Coordination & Operational Support Contribute to the development and maintenance of a reliable reporting infrastructure for the intermediated business area, ensuring consistency in KPIs and data processes Act as a key point of contact for stakeholders across Intermediated teams and related functions (e.g., Marketing, QA & Compliance, Finance, CRM & Data Science), supporting cross-functional More ❯

Campus, scheduled to open in September 2026. To build the founding academic team, applications are invited for multiple full-time faculty positions across Business & Finance, Economics & Health Economics, Computer Science, Environment & Sustainability, and Culture & Creative Technologies. These roles offer a unique opportunity to contribute to world-class teaching, impactful research, and community engagement in one of India's most … exposure, publications in reputed journals, and experience in curriculum development will be considered an advantage. Required Expertise & Skills Business & Finance : Corporate finance, banking, investments, financial management, business analytics. Computer Science : Artificial intelligence, machine learning, data science, software engineering, systems security. Environment & Sustainability : Climate change studies, sustainability science, renewable energy, environmental management. Culture & Creative Technologies : Media, digital … standards. Additional benefits include opportunities for research collaboration, academic exchange with York (UK), and a multicultural working environment. Application Deadline Most positions: 14 September 2025 Associate Professor of Computer Science (Ref: 14298): 18 September More ❯

has been active in the past 24 months is considered active) Ability to obtain and maintain Special Access Program (SAP) clearance Basic Qualifications (Required 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 20+ years of More ❯

for which the US Government requires US Citizenship. An interim and/or final U.S. Secret clearance Post Start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree or higher from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 9+ More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

to keep the threats at bay. Cyber | Lockheed Martin Who we are: Are you driven by the excitement of harnessing the latest advancements in artificial intelligence, machine learning, and data analytics to revolutionize the way we approach complex challenges? Do you find satisfaction in developing innovative solutions that leverage the power of technology to stay ahead of the curve … responsibilities including; • Software development • Software engineering • Systems engineering • Cyber researchers (Capabilities Analyst, etc) • System Security (ISSO/ISSE/ISSM) • Technical writer • Test Engineers • Network Engineers • User Experience Designer • Data Science • Systems Administrator (Linux) For a complete list that changes weekly, use this term to search via the Lockheed Martin jobs website: #RMSRB2025 Come join a company with … Polygraph Seeking multiple levels of Software Engineers: SWE0: • A High School Diploma or GED plus four (4) years of general software engineering experience OR • Bachelor's degree in Computer Science or related discipline from an accredited college or university. SWE1: • A High School Diploma or GED plus eleven (11) years of general software engineering experience OR • A Bachelor's More ❯

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

overseeing model deployment workflows to ensure seamless integration and scalability. Key Responsibilities: Platform Operations & Monitoring • Monitor ML model endpoints and overall platform health using tools like Grafana and Domino Data Lab. • Respond to incidents and alerts, perform code fixes, manage incidents internally and manages changes through ServiceNow • Interface directly with Domino Data Lab support to resolve model platform … related issues. Model Deployment into Production • Deploy and Maintain ML models in production environments. • Ensure models are properly integrated into automated pipelines and meet standards Pipeline Maintenance • Collaborate with data scientists and engineers to ensure smooth handoff from model development to production. • Maintain and support ML pipelines, ensuring stability and scalability. • Continuously optimize pipeline performance, resource usage, and automation … deployment and monitoring tasks. • Contribute to platform improvements. Required Skills & Experience • Extensive experience in Python programming • Strong experience with ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected … opportunities, we ensure they get the funds they need - often within minutes. The team The Finance Technology team builds and maintains the payment infrastructure and financial data systems that power iwoca's growth. We partner with Finance to build scalable tools and support other product teams to launch new products with the right payment and data foundations. The … hybrid, based in London. The role As a Staff Back End Engineer in the Finance Technology team, you'll lead the technical design and development of iwoca's financial data systems, starting with a new credit card ledger - a critical component for product expansion. You'll work with stakeholders across Finance to shape architecture, ensure accuracy and scalability, and More ❯