1,151 to 1,175 of 1,982 Permanent Data Science Jobs

excellence. About Us We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions … machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in various industries and we value collaboration and a vibrant office community. With our hybrid approach, we prioritize hiring individuals near our central offices in Bristol and London to foster belonging. Responsibilities Partner with customers to deeply understand their needs, translating challenges into … actionable plans for technical teams. Lead Agile teams in delivering cloud-native, data-driven solutions and innovative software products. Proactively identify and address challenges, dependencies, and risks, ensuring smooth delivery and alignment with customer goals. Facilitate clear, effective communication between technical teams, stakeholders, and customers, ensuring transparency and shared understanding. Build and maintain strong, trusted relationships with customers, acting More ❯

operation of Battery Energy Storage System (BESS) operations. As a Systems Engineer in the BESS Modelling Department, you will help with design and deployment of on-site compute and data infrastructure that enables these models to run on live BESS plants. You will bridge the gap between industrial control systems and modern data infrastructure, ensuring reliable, secure, and … scalable data collection and orchestration between distributed edge servers and a central analytics environment as well as interfacing with cloud infrastructure such as AWS. Key Responsibilities Infrastructure Setup & Deployment Design, configure, and maintain on-site compute infrastructure (edge servers, gateways, networking). Deploy containerized environments (e.g. Docker/Kubernetes) to host modelling and data processing workloads. Implement robust … and efficient communication and data synchronization between distributed edge nodes and a central cloud or on-premise server. Data Collection & Industrial Connectivity Develop and manage data acquisition systems interfacing with plant control systems. Integrate industrial protocols such as Modbus, OPC UA, MQTT, or equivalent. Ensure data integrity, timestamp accuracy, and consistent data flow from field More ❯

algorithms to solve complex real-world allocation problems. Translate applied mathematics and optimisation concepts into structured product requirements for engineering teams. Define KPIs and drive measurable performance improvements through data-driven experimentation. Collaborate with engineering, architecture, and product colleagues to deliver new features and improvements. Act as a technical product ambassador, engaging with internal stakeholders and customers to ensure … adoption and success. What We’re Looking For Strong background in applied mathematics, optimisation, or data science (degree in Maths, Computer Science, Engineering, or related field). Experience in technical product management , ideally in algorithm-heavy or decision-support environments. Familiarity with Python and ability to translate algorithmic design into specifications. Knowledge of optimisation engines, simulation, or More ❯

Lead Analytics Consultant Fully Remote in the UK £90,000-£100,000 + Bonus The Company Great opportunity to join a scale-up Data consultancy as their Lead Analytics Consultant with a view to being their Practice Lead in the medium-term! The Role As the Lead Analytics Consultant, your role will balance across Analytics strategy, client engagement, and … hands-on delivery. You’ll be the bridge between business priorities and technical solutions, guiding clients from defining their goals to implementing data-driven strategies that deliver measurable results. You’ll work across the full data spectrum, so experience consulting across Analytics, Data Science & Engineering is what you’ll bring to the table What You’ll … Do: Lead end-to-end data and AI strategy projects, from scoping through delivery and adoption Run workshops with senior stakeholders to define priorities, metrics, and success criteria Translate business requirements into actionable analytics and technical solutions Identify where initiatives aren’t delivering value and redirect focus to higher-impact opportunities Oversee delivery teams to ensure quality and alignment More ❯

Data Product Manager Up to £100,000 London (Quarterly meet-ups) Please note: This role cannot provide sponsorship Company: Search intelligence intelligence platform focused on paid search advertising, helping brands understand their search advertising landscape, uncover competitor strategies, find opportunities, protect their brand, and optimise their ad spend. Responsibilities: Define and lead the vision and strategy for data products, aligned with business goals. Own and prioritize the data roadmap, balancing technical performance, cost, and impact. Translate complex data needs into clear, actionable product requirements. Guide end-to-end delivery of data features, from planning through execution. Use metrics and feedback to drive continuous improvement and platform optimization. Collaborate across teams to align data initiatives with product, engineering, and business needs. Requirements: Background in data-focused roles such as Data Scientist or Engineer 5+ years’ postdoc/industry experience Comfortable with backend data platforms, ETL processes, and basic Python, SQL, and API usage. Knowledgeable in GenAI tools and cloud platforms like AWS or GCP. More ❯

AI and intelligent automation initiatives within a forward-thinking fiancial services organisation. This is a chance to deliver cutting-edge, high-impact transformation projects, harnessing the power of AI, data, and automation to drive operational efficiency, enhance customer experience, and enable smarter decision-making across the business. Senior Project Manager - AI Responsibilities: Lead the planning and delivery of AI … and automation projects from concept through to implementation and adoption. Work closely with data scientists, engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory … standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and business change teams to ensure alignment and delivery success. Drive user engagement and adoption of AI solutions across the business, ensuring value realisation. Facilitate steering groups and provide executive-level updates on progress and benefits delivered. Senior Project Manager Requirements Proven experience More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

Product Manager – Data & AI Innovation (Air Platform) Location: London (Hybrid) Salary: £100-120,000 + bonus Type: Full-time, Permanent About Our Client Our client is a global financial technology leader driving innovation across data, automation, and AI. Their solutions power some of the world’s largest financial institutions, enabling them to transform operational efficiency, accuracy, and performance. … They are now seeking a strategic Product Manager with deep expertise in data-driven product development and AI integration to lead innovation across their flagship Air Platform — a next-generation solution focused on intelligent automation, orchestration, and data optimisation. This is an opportunity to sit at the heart of AI transformation — defining strategy, shaping product direction, and delivering … next-level user experiences powered by AI agents, LLMs, and emerging technologies. The Opportunity As Product Manager – Data & AI Innovation, you will drive the roadmap for advanced data orchestration and AI-enabled features. You’ll collaborate with data scientists, engineers, and go-to-market teams to ensure each innovation is technically sound, commercially valuable, and aligned to More ❯

your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test Business Focused Demonstrating a growth mindset, you'll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs You'll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage … risk Technology Driven You'll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology You'll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers You'll deliver well-managed product platforms for customers by seeking to understand technology trends and … Qualifications : Bachelor's Degree or Military experience At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science or software engineering Preferred Qualifications : Bachelor's Degree in Computer Science or Engineering 1+ years translating business strategy or analysis into consumer facing digital products 1+ More ❯

written and verbal communication skills with ability to present to senior executives Experience managing multiple complex projects simultaneously with competing deadlines Preferred Qualifications STEM Background: Degree in engineering, computer science, mathematics, physics, or related technical field Experience in technology consulting or software implementation projects Experience in the AWS Partner Ecosystem. Familiarity with AI/ML project lifecycles and common … challenges Previous exposure to Retainer/Time & Materials/Fixed cost billing models and POC-to-production workflows Experience working in a startup environment Understanding of data science methodologies and business intelligence reporting What We Offer Opportunity to work at the forefront of AI development with exposure to cutting-edge technologies Access to our global network of AI More ❯

Principal Data Scientist - Dublin, Ireland Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a … and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive. As a Principal Data Scientist within our Network Pricing team, you will play a key role in managing generic drug pricing across our provider networks. Your work will involve managing others, collaborating with … stakeholders, developing pricing models, and supporting your team to achieve measurable outcomes. By leveraging data insights and market trends, you'll develop solutions to enhance member experience and drive improved financial performance. Ready for a challenge? You will need all your leadership skills and creativity as you manage and develop provider networks that achieve performance objectives. As a result More ❯

DV Cleared Data Engineers – Manchester – AWS or Azure – Senior/Principal We’re supporting a leading global consultancy with the expansion of their secure data engineering team, and we’re looking for DV Cleared Data Engineers to join major projects in Manchester. If you hold active DV clearance and want to work on cutting-edge, mission-critical … programmes in a highly collaborative technical environment, this is an excellent opportunity. They are considering Data Engineers at all levels from Junior up to Principal Data Engineer. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with … cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end-to-end solution design, delivery, and optimisation Contributing to major national infrastructure and security programmes with real impact What We’re Looking For Active DV clearance (essential) Strong background in data engineering, ETL, and data pipeline development Experience with AWS or More ❯

Associate Director - Commercial Operations, AI&D, Technology & Transformation, London Basic information Location: London Job Type: Permanent/FTC Date Published: 20 Oct 2025 Business Line: Life Sciences - AI & Data We are seeking an experienced Commercial Operations leader in Deloitte's Life Sciences practice of the AI & Data service offering. The role offers the opportunity to work with world … leading clients navigating an evolving marketplace where Agentic AI is transforming commercial operations across the life science value chain. Responsibilities Define and implement the vision and strategy for Deloitte's Life Sciences Commercial Operations - AI & Data Driven Solutions practice, identifying emerging trends and developing innovative solutions to address client challenges. Client Engagement & Business Development: Cultivate and manage senior … solutions for incentive compensation, quota setting, incentive design, structure, target setting, and other commercial operations challenges. Practice Building & Team Leadership: Build and mentor a high performing team of consultants, data scientists, and engineers; foster a culture of collaboration, innovation, and continuous learning. Thought Leadership & Market Influence: Represent Deloitte as a thought leader in AI driven commercial operations, publishing articles More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering … biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering … biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering … biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes More ❯

tenured faculty positions. Faculty positions are open at four ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering … biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering, financial technology, digital transformation management, and applied economics. We provides globally competitive salaries and generous start-up funds, commensurate with qualifications and experiences. The start-up package includes More ❯