28 data scientist jobs found in Sheffield

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets. The Role You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators. Key Responsibilities Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data Build...

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets. The Role You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators. Key Responsibilities Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data Build...

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets. The Role You will work with a cross‑functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine‑learning techniques to large, real‑world datasets. This includes high‑frequency vibration data, SCADA data, and recorded turbine failure data. The focus of this contract is hands‑on delivery — developing, validating and deploying models that generate actionable insights for wind‑farm owners and operators. Key Responsibilities Develop and optimise AI‑driven algorithms to detect, diagnose and predict wind‑turbine failure modes Apply signal‑processing, reliability‑engineering and machine‑learning techniques to real operational data Build...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Lead Data Scientist Role overview The Lead Data Scientist will act as a leader, coach and champion for data science, managing teams, setting direction and building organisational capability. The role ensures data science work is technically strong, ethical, scalable and aligned to client and business outcomes. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead and manage data science teams or workstreams, setting clear direction and delivery priorities. Shape data science strategy, standards and reusable approaches across products, services or programmes. Coach data scientists and multidisciplinary teams in methods, tools, responsible AI and delivery practices. Oversee complex modelling, analytics and machine learning work, ensuring appropriate validation and assurance. Work with senior stakeholders to...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools....

We are seeking a Data Scientist to join a live, scaling AI programme delivering practical, production-ready solutions across UKRI’s data landscape. This is a hands-on, delivery-focused role where you will work across the full machine learning lifecycle, taking models from prototype through to live production and ongoing optimisation. You will be joining an established team at a key growth stage, supporting the expansion of AI initiatives led by the Data Delivery Group, with a focus on real-world, scalable outcomes rather than experimentation. This role offers the opportunity to work on AI solutions that are already in production, with a clear focus on scaling delivery and driving measurable outcomes.   As a Data Scientist, your main responsibilities will be to: Develop and deploy machine learning models into production environments Translate prototypes into scalable, production-ready systems Design, build and maintain infrastructure to support...

Are you a Geospatial Data Scientist looking to grow your expertise and make a difference on projects across the world? You will join us as a Geospatial Data Scientist - a key member of our Geospatial Science and Digital Twins team, responsible for applying advanced analytical techniques to derive insights from its big data. We are proud of the different clients, countries and types of project that we get the opportunity to experience. We have particular expertise in large scale masterplanning projects and enjoy a mix of scales and projects type and aim to ensure our team members experience a broad range of projects during their careers. This is a permanent opportunity however we are open to candidates who wish to work on a contract basis (inside IR35).   Key Duties Responsible for undertaking research and development into geospatial services and application of new technologies, development of automated solutions, including developing 3D virtual cities...

Are you a Geospatial Data Scientist looking to grow your expertise and make a difference on projects across the world? You will join us as a Geospatial Data Scientist - a key member of our Geospatial Science and Digital Twins team, responsible for applying advanced analytical techniques to derive insights from its big data. We are proud of the different clients, countries and types of project that we get the opportunity to experience. We have particular expertise in large scale masterplanning projects and enjoy a mix of scales and projects type and aim to ensure our team members experience a broad range of projects during their careers. This is a permanent opportunity however we are open to candidates who wish to work on a contract basis (inside IR35).   Key Duties Responsible for undertaking research and development into geospatial services and application of new technologies, development of automated solutions, including developing 3D virtual cities...

MAKE STRATEGY A REALITY | ACCELERATE YOUR GROWTH | CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Predictive Analytics to help us take vision to value and create lasting impact for our retail Managed Service client. Please note, this is an initial 3-6 month contract that will require onsite working in London 2-3 days per week Summary As a Senior Consultant Data Scientist - Predictive Analytics, you will play a crucial role in driving the success through your expertise in data analytics and predictive modelling. By applying your skills in causal inference, experimentation, and econometrics, you will help our clients unlock valuable insights and make data-driven decisions that transform their businesses. You Will Utilize advanced statistical and mathematical models to...

Are you a Geospatial Data Scientist looking to grow your expertise and make a difference on projects across the world? You will join us as a Geospatial Data Scientist - a key member of our Geospatial Science and Digital Twins team, responsible for applying advanced analytical techniques to derive insights from its big data. We are proud of the different clients, countries and types of project that we get the opportunity to experience. We have particular expertise in large scale masterplanning projects and enjoy a mix of scales and projects type and aim to ensure our team members experience a broad range of projects during their careers. This is a permanent opportunity however we are open to candidates who wish to work on a contract basis (inside IR35).   Key Duties Responsible for undertaking research and development into geospatial services and application of new technologies, development of automated solutions, including developing 3D virtual cities...

ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6‑month contract, focusing on building and deploying production‑grade machine‑learning solutions for the renewable energy sector. The Role This is a delivery‑focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high‑quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind‑turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well‑documented code following modern software‑engineering practices Containerise and deploy ML solutions using Docker and CI/CD pipelines Support model deployment, monitoring and performance evaluation in...

ONYX Insight is seeking an ML Engineer to join our Advanced Analytics team on a 6‑month contract, focusing on building and deploying production‑grade machine‑learning solutions for the renewable energy sector. The Role This is a delivery‑focused contract role, ideal for an ML Engineer who enjoys turning models into scalable, high‑quality software. You'll work closely with Data Scientists and Software Engineers to productionise AI models used in wind‑turbine condition monitoring and predictive maintenance. Key Responsibilities Design, build and maintain production ML services and APIs Implement model inference pipelines and optimise performance Develop robust data and feature pipelines integrating cloud data sources Write clean, testable, well‑documented code following modern software‑engineering practices Containerise and deploy ML solutions using Docker and CI/CD pipelines Support model deployment, monitoring and performance evaluation in...

Job Summary We are seeking an experienced and highly skilled Lead Azure Databricks Engineer to join our dynamic team. The successful candidate will be responsible for designing, developing, and leading complex data engineering solutions within the Azure cloud environment. This role offers an exciting opportunity to work on cutting-edge data projects, optimise data workflows, and mentor junior team members. The ideal applicant will possess extensive expertise in Azure Databricks, big data processing, and cloud architecture, ensuring the delivery of scalable and efficient data solutions that support strategic business objectives. Duties Lead the design and implementation of large-scale data pipelines using Azure Databricks, ensuring optimal performance and scalability. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to develop integrated data solutions. Architect and optimise cloud-based data workflows,...

Job Summary We are seeking an experienced and highly skilled Lead Azure Databricks Engineer to join our dynamic team. The successful candidate will be responsible for designing, developing, and leading complex data engineering solutions within the Azure cloud environment. This role offers an exciting opportunity to work on cutting-edge data projects, optimise data workflows, and mentor junior team members. The ideal applicant will possess extensive expertise in Azure Databricks, big data processing, and cloud architecture, ensuring the delivery of scalable and efficient data solutions that support strategic business objectives. Duties Lead the design and implementation of large-scale data pipelines using Azure Databricks, ensuring optimal performance and scalability. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to develop integrated data solutions. Architect and optimise cloud-based data workflows,...

UK Research and Innovation (UKRI) is the national funding agency investing in science and research in the UK.   UKRI invests £8 billion of taxpayers' money each year into research and innovation and the people who make it happen. They work across a huge range of fields - from biodiversity conservation to quantum computing, and from space telescopes to innovative health care. They give everyone the opportunity to contribute and to benefit, bringing together people and organisations nationally and globally to create, develop and deploy new ideas and technologies.   The Data Engineer will be responsible for the requirements analysis and design of solutions for data platforms, ETL, integration and analysis solutions. Our toolset includes AWS hosted databases (postgres, S3 based data lake, MySQL, Athena), integration services (AWS API gateway, lambda functions), ETL services (AWS Glue, Step functions, AWS Batch), infrastructure management tools such as...

Cloud Architect Role type: Contract 6 months + Location: London/Remote Cloud Architect required to join our Engineering team here at Satalia As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting...

Cloud Architect Role type: Contract 6 months + Location: London/Remote Cloud Architect required to join our Engineering team here at Satalia As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting...

Cloud Architect Role type: Contract 6 months + Location: London/Remote Cloud Architect required to join our Engineering team here at Satalia As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues. Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting...