Data Engineer London + 2 or 3 days work from home Circ £60,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client has been expanding at a remarkable pace and have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close-knit team that is the hub of our client's global data & analytics operation. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and expected to be in the region of £60,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
19/03/2026
Full time
Data Engineer London + 2 or 3 days work from home Circ £60,000 - £70,000 + Excellent Benefits Package A fantastic opportunity is available for a Data Engineer that enjoys working in a fast paced and collaborative team playing work environment. Our client has been expanding at a remarkable pace and have transformed their technical landscape with leading edge solutions. Having implemented a new MS Fabric based Data platform, the need is now to scale up and deliver data driven insights and strategies right across the business globally. The Data Engineer will be joining a close-knit team that is the hub of our client's global data & analytics operation. Previous experience with MS Fabric would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowflake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric. o Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions. Troubleshoot and resolve data-related issues in a timely manner. Key Experience, Skills and Knowledge: Proven 2 yrs+ experience as a Data Engineer or similar role, with a strong focus on PySpark, SQL, Microsoft Azure Data platforms and Power BI an advantage Proficiency in development languages suitable for intermediate-level data engineers, such as: Python / PySpark: Widely used for data manipulation, analysis, and scripting. SQL: Essential for querying and managing relational databases. Understanding of D365 F&O Data Structures is highly desirable Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. This is a hybrid role based in Central / West London with the flexibility to work from home 2 or 3 days per week. Salary will be dependent on experience and expected to be in the region of £60,000 - £70,000 + an attractive benefits package including bonus scheme. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. YES are operating as both a recruitment Agency and Recruitment Business
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
18/03/2026
Full time
Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge
Lead Data Analyst Salary: 70K - 90K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Lead Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Lead Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Proven expertise in A/B testing Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Lead Data Analyst
18/03/2026
Full time
Lead Data Analyst Salary: 70K - 90K Location: Manchester (Hybrid) We're working with a high-growth business that is scaling its data function to the next level. They are investing heavily in their product and data capabilities, as part of this investment, they are hiring a Lead Data Analyst to own experimentation and performance insight across their search ranking and personalisation systems. The Opportunity Within this role as Lead Data Analyst, you will partner closely with cross-functional teams to ensure product changes are properly tested, accurately measured, and clearly linked to business performance. This is a product-focused analytics leadership position with a strong emphasis on experimentation and impact evaluation. Skills & Experience Strong experience in search optimisation, ranking systems, recommendation engines, or personalisation Proven expertise in A/B testing Commercial awareness Strong SQL experience Experience partnering with data scientists and engineering teams This is an opportunity to have ownership. For consideration, please submit your CV. Lead Data Analyst
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
18/03/2026
Full time
Senior Machine Learning Engineer - Data Science Focus Based in London (Hybrid - 2 days onsite) Permanent, Full-Time Salary: Up to 95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build models, optimise algorithms, and deploy solutions at scale to enhance customer engagement and decisioning. You'll work closely with Data Scientists to translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback strategies. Feature engineering & pipelines: Build scalable data workflows and feature stores for ML applications. Infrastructure & tooling: Containerise applications with Docker, orchestrate with Kubernetes, and deploy securely in AWS. Model governance: Apply best practices for evaluation, drift monitoring, and compliance. Collaboration: Partner with Data Scientists and business stakeholders to translate insights into production-ready solutions. Key Skills and Experience Master's degree in a STEM or quantitative discipline (PhD nice to have). 3+ years of industrial ML engineering experience (not purely academic; not focused on Generative AI). Strong data science fundamentals: supervised learning, evaluation metrics, feature engineering, and experimentation. Production-grade Python proficiency and ability to write clean, maintainable code. Comfortable with complex SQL queries. Hands-on experience with AWS (ECR/ECS/EKS, Lambda, S3, IAM, CloudWatch), ideally AWS-certified. Experience with Docker and Kubernetes in production environments. Degree (BSc/MSc) in a STEM or quantitative discipline; PhD desirable. Strong communication skills and ability to explain technical concepts clearly. Apply now with your most up-to-date CV and a short note highlighting your experience with Python, SQL, AWS, Docker, Kubernetes, and data science projects. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
18/03/2026
Full time
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology, we have an excellent opportunity for a Software Engineer/ Computer Scientist (Applied Sciences) intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The role Overview: As a Software Engineer Intern working in the Applied Sciences Group, you ll work closely with our experienced team of Software Engineers, Physicists and Data Scientists to support the deployment of cutting edge algorithms within ITL s hardware platforms. Here at ITL, we offer Real-world experience working on impactful projects. Guidance and mentorship from experienced professionals. Networking opportunities within the technology industry. A collaborative and dynamic work environment. Potential for a full-time role upon successful completion of the internship. This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your responsibilities: You will be working in a fast-paced environment that offers opportunities to create and to develop, our Software Engineers. You will be applying all aspects of their learning while delivering against targets and supporting and improving the efficiency and performance of our codebase and hardware platforms. As a Computer Science Intern, you will: Collaborate with the computer science team to design, develop, and test software applications. Write clean, efficient, and maintainable code for various projects. Debug and troubleshoot issues in existing systems. Participate in brainstorming sessions and contribute to the development of new ideas. Conduct research on emerging technologies and recommend their applications. Document processes, technical designs, and findings. Qualifications: An undergraduate working towards a degree in either Software Engineering, Data Science, Mathematics, Computer Science or a similar related subject. Your Skills and Experience: Strong experience of programming in Python. Basic knowledge of algorithms, data structures, and object-oriented programming Familiarity with software development methodologies (e.g., Agile, Scrum) An excellent communicator who s analytical minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we now have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you re looking to develop as Software Engineer/ Computer Scientist (Applied Sciences) throughout your Industrial Placement Year and want to join our award-winning team on the latest cutting-edge technology we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The Role Overview: As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship and training from experienced professionals Opportunities to network and grow within the field of data science A supportive and collaborative work environment Potential for a full-time offer upon successful completion of the internship This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively to stakeholders Stay up-to-date with the latest developments in data science and AI technologies Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Skills and Experience: A solid understanding of machine learning techniques and algorithms. Experience of programming in Python, or similar associated tools. An excellent communicator who s analytically minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub and global head office in Oldham, Manchester. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you want to develop as a Data Scientist throughout your Industrial Placement Year and you are looking to join our award-winning team on the latest cutting-edge technology, we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
18/03/2026
Contractor
Are you in your penultimate year of study and looking to work in a fast paced, global, market leading company for your industrial placement? Here at Innovative Technology we have an excellent opportunity for a Data Science Intern to join our talented team in our global head office in Oldham, Greater Manchester for 12 months starting in Summer 2026. The Role Overview: As a Data Science Intern, you ll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship and training from experienced professionals Opportunities to network and grow within the field of data science A supportive and collaborative work environment Potential for a full-time offer upon successful completion of the internship This position is suited to a student in their penultimate year of University who has an eagerness to learn and to make the most of an opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning, statistical analysis, or data visualization Assist in cleaning, transforming, and preparing data for analysis Create dashboards and reports to communicate findings effectively to stakeholders Stay up-to-date with the latest developments in data science and AI technologies Qualifications: An undergraduate working towards a degree in either Data Science, Mathematics, Computer Science or a similar related subject. Skills and Experience: A solid understanding of machine learning techniques and algorithms. Experience of programming in Python, or similar associated tools. An excellent communicator who s analytically minded with a practical approach to solving problems. Your Package and Perks A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year Educational Sponsorship Enhanced Pension Contribution Healthcare Insurance (including dental) Wellbeing support Life Insurance Income Protection Insurance Free secure parking Onsite electric car charging points Cycle to Work Scheme Informal dress code Paid breaks, with free premium hot drinks We re Innovative Trading for over 30 years here at Innovative Technology, where we have offices on five continents and employ around 400 people, with over 170 based from our state-of-the-art R&D hub and global head office in Oldham, Manchester. From self-service checkouts to arcade machines, we provide our retail, banking, kiosk, vending, gaming and amusement customers with products and services that help them securely accept automated payments, with our industry-leading technology keeping us at the forefront of our sector. We also provide facial analysis technology for age estimation and control access for some of the world s leading companies. By being true to our values of Innovation, Collaboration, Respect and Drive we ve seen significant growth and won numerous domestic and international awards, whilst offering outstanding career opportunities and great benefits. You ll find us on the edge of the Pennines and less than half an hour from central Manchester, with modern offices, free parking and excellent transport links. We are a disability-confident employer, as such we will shortlist all candidates meeting our minimum criteria (as specified in the job description) who state they have a disability within their application. What s next? If you want to develop as a Data Scientist throughout your Industrial Placement Year and you are looking to join our award-winning team on the latest cutting-edge technology, we want to hear from you. A better way Through our people, drive and commitment we push boundaries to deliver innovative products and services. Due to the high volume of applications we receive, our selection process is thorough and may take up to two months to complete. We appreciate your patience as we give every candidate's profile the attention it deserves. This is a two-part interview process, starting with a brief telephone screening followed by a formal site-based interview.
Software Engineer (C#, C++, Python, TDD, Applied Engineering) Oxford - 4 days per week in office. £45000 - £70000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 4 days a week. Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components are designed. You'll be based from their head office in Oxford 4-5 days a week, joining their R&D function and will require your own vehicle. Your new role This role sits in the core Development team and would suit a Software Engineer with a passion for Science/Applied Engineering with commercial Full Stack experience. You'll participate in the full development life cycle from user story generation to user acceptance testing, speaking to the users continuously and assuming the role of expert problem solver. The right person will be motivated and hungry to solve first-of-their-kind challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You'll work closely with process engineers, technicians and material scientists to deliver high quality, intelligent solutions that support cutting edge manufacturing and materials development. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-6 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have full stack experience with Blazor or JavaScript/TypeScript. Above all we are looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
16/03/2026
Full time
Software Engineer (C#, C++, Python, TDD, Applied Engineering) Oxford - 4 days per week in office. £45000 - £70000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 4 days a week. Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining how high performance components are designed. You'll be based from their head office in Oxford 4-5 days a week, joining their R&D function and will require your own vehicle. Your new role This role sits in the core Development team and would suit a Software Engineer with a passion for Science/Applied Engineering with commercial Full Stack experience. You'll participate in the full development life cycle from user story generation to user acceptance testing, speaking to the users continuously and assuming the role of expert problem solver. The right person will be motivated and hungry to solve first-of-their-kind challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You'll work closely with process engineers, technicians and material scientists to deliver high quality, intelligent solutions that support cutting edge manufacturing and materials development. With the rapid expansion and new investment into the company it's an exciting time to be joining with solid progression opportunities. You're also safe in the knowledge the future is bright as their customer list boasts some of the worlds leading tech and engineering brands. What you'll need to succeed We're looking for candidates with a Bachelors, Masters or PhD Degree in a STEM or Computing discipline - ideally from a Russell Group University. We need 2-6 years proficiency working in a commercial Software Engineering role/team using either C#, C++ or Python. Ideally you'll have full stack experience with Blazor or JavaScript/TypeScript. Above all we are looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return The company offers 25 days' holiday plus bank holidays, flexible working hours, a pension with a 9% employer contribution, private healthcare covering dental & health screening. There are company share options and a huge collection of local discount schemes including gym membership and there is parking on site. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Business Director. At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Staff Data Scientist - Paid Marketing London - x2 days a week Up to £113,000 plus bonus and benefits This is a fantastic opportunity to join a high-growth, product-led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy. The Company They are a fast-scaling, community-focused digital marketplace with a strong app footprint and a mission-led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale. The Role You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions. Key responsibilities include: Leading the development, maintenance, and optimisation of attribution models for sign-ups and paid activity. Building measurement capabilities, including CLV and LTV modelling for strategic forecasting. Delivering complex, in-depth analysis to explain performance and guide future investment. Partnering with stakeholders across paid, brand, and wider marketing teams. Driving the measurement roadmap and ensuring clarity on key metrics across the business. Providing BAU support while also setting long-term direction. Your Skills and Experience You will bring: Strong SQL skills. Excellent Python capability for developing analytics and attribution models. Proven experience in marketing analytics within an app-based or digital-first environment. Ability to communicate complex measurement concepts clearly to non-technical stakeholders. Experience owning attribution frameworks and performance measurement processes. What They Offer Up to 113k plus benefits How to Apply If you are passionate about building best-in-class measurement for a fast-moving digital brand, apply today to find out more.
16/03/2026
Full time
Staff Data Scientist - Paid Marketing London - x2 days a week Up to £113,000 plus bonus and benefits This is a fantastic opportunity to join a high-growth, product-led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy. The Company They are a fast-scaling, community-focused digital marketplace with a strong app footprint and a mission-led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale. The Role You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions. Key responsibilities include: Leading the development, maintenance, and optimisation of attribution models for sign-ups and paid activity. Building measurement capabilities, including CLV and LTV modelling for strategic forecasting. Delivering complex, in-depth analysis to explain performance and guide future investment. Partnering with stakeholders across paid, brand, and wider marketing teams. Driving the measurement roadmap and ensuring clarity on key metrics across the business. Providing BAU support while also setting long-term direction. Your Skills and Experience You will bring: Strong SQL skills. Excellent Python capability for developing analytics and attribution models. Proven experience in marketing analytics within an app-based or digital-first environment. Ability to communicate complex measurement concepts clearly to non-technical stakeholders. Experience owning attribution frameworks and performance measurement processes. What They Offer Up to 113k plus benefits How to Apply If you are passionate about building best-in-class measurement for a fast-moving digital brand, apply today to find out more.
STAFF DATA SCIENTIST - MARKETING MEASUREMENT £95,000 - £113,000 + BONUS + EQUITY LONDON THE COMPANY This is an exciting opportunity to join a well-known consumer tech marketplace operating at global scale. The business has built a highly engaged community and is investing heavily in data and advanced analytics to drive smarter marketing decisions and sustainable growth. With marketing playing a critical role in their growth strategy, the company is expanding its marketing analytics capability and investing in sophisticated measurement frameworks to better understand performance across digital channels. THE ROLE As a Staff Data Scientist within the marketing analytics team, you will play a key role in developing advanced measurement capabilities to support paid marketing investment and long-term growth strategy. More specifically, you will: Own and develop attribution modelling frameworks to measure marketing effectiveness across paid channels Build and maintain analytics models to understand customer lifetime value and acquisition performance Develop advanced measurement approaches including incrementality testing and experimentation Partner with marketing stakeholders to evaluate campaign performance across multiple digital channels Build scalable Python-based analytics models and measurement frameworks Deliver insights that shape marketing strategy and future investment decisions Act as a key analytical voice across marketing leadership and wider stakeholders Support reporting and performance monitoring through BI tools such as Looker or similar YOUR SKILLS AND EXPERIENCE The successful candidate will have the following skills and experience: Strong experience in Marketing Analytics, ideally within a digital consumer or marketplace environment Excellent SQL skills with experience working with large and complex datasets Strong Python experience, including building analytical models or measurement frameworks Experience working with paid marketing data (e.g. Meta, Google, TikTok or similar channels) Experience developing attribution models, incrementality testing or LTV modelling Understanding of marketing measurement within mobile or app-based environments Experience communicating complex analysis clearly to senior stakeholders A proactive and strategic mindset with the ability to influence marketing decision-making BENEFITS The successful candidate will receive a salary of up to £113,000 alongside a bonus and equity package. In addition, you will be joining a highly collaborative environment with strong investment in data, analytics and experimentation, offering significant scope to shape marketing measurement strategy. HOW TO APPLY Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
16/03/2026
Full time
STAFF DATA SCIENTIST - MARKETING MEASUREMENT £95,000 - £113,000 + BONUS + EQUITY LONDON THE COMPANY This is an exciting opportunity to join a well-known consumer tech marketplace operating at global scale. The business has built a highly engaged community and is investing heavily in data and advanced analytics to drive smarter marketing decisions and sustainable growth. With marketing playing a critical role in their growth strategy, the company is expanding its marketing analytics capability and investing in sophisticated measurement frameworks to better understand performance across digital channels. THE ROLE As a Staff Data Scientist within the marketing analytics team, you will play a key role in developing advanced measurement capabilities to support paid marketing investment and long-term growth strategy. More specifically, you will: Own and develop attribution modelling frameworks to measure marketing effectiveness across paid channels Build and maintain analytics models to understand customer lifetime value and acquisition performance Develop advanced measurement approaches including incrementality testing and experimentation Partner with marketing stakeholders to evaluate campaign performance across multiple digital channels Build scalable Python-based analytics models and measurement frameworks Deliver insights that shape marketing strategy and future investment decisions Act as a key analytical voice across marketing leadership and wider stakeholders Support reporting and performance monitoring through BI tools such as Looker or similar YOUR SKILLS AND EXPERIENCE The successful candidate will have the following skills and experience: Strong experience in Marketing Analytics, ideally within a digital consumer or marketplace environment Excellent SQL skills with experience working with large and complex datasets Strong Python experience, including building analytical models or measurement frameworks Experience working with paid marketing data (e.g. Meta, Google, TikTok or similar channels) Experience developing attribution models, incrementality testing or LTV modelling Understanding of marketing measurement within mobile or app-based environments Experience communicating complex analysis clearly to senior stakeholders A proactive and strategic mindset with the ability to influence marketing decision-making BENEFITS The successful candidate will receive a salary of up to £113,000 alongside a bonus and equity package. In addition, you will be joining a highly collaborative environment with strong investment in data, analytics and experimentation, offering significant scope to shape marketing measurement strategy. HOW TO APPLY Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.
Junior Data Scientist. Our client is looking for an enthusiastic Junior Data Scientist to join their dynamic team in London or Reading. This is an exciting opportunity to join a leading market research research agency supporting a range of high profile clients across marketing, advertising, and entertainment industries. What You'll Do: As a Junior Data Scientist, you will play an important role in helping clients uncover insights that drive strategies and campaigns. Your main responsibilities will include: Analyzing data sets to identify trends, patterns, and actionable insights. Collaborating with team members to develop data models and algorithms. Assisting in the creation of visualizations and reports to communicate findings effectively. Supporting the team in A/B testing and performance measurement of marketing campaigns. Contributing to innovative solutions that enhance our data capabilities. Who You Are: Our client is looking for someone who is not only skilled but also brings a positive attitude and a thirst for learning. Here's what they are looking for: A degree in Data Science, Statistics, Computer Science, or a related field. Familiarity with programming languages, particularly Python. Basic understanding of machine learning algorithms and data analysis techniques. Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong analytical skills and attention to detail. Excellent communication skills and the ability to work collaboratively. What you'll get in return: Our client believes data is at the heart of everything they do. They offer a vibrant and supportive work environment where your ideas are valued, and your growth is prioritized. Perks of joining our team include: Career Development: ongoing training and mentorship to help you grow in your role. Team Spirit: Join a friendly team that celebrates success together and supports each other. Flexible Work Environment: Our client understands the importance of work-life balance and offer flexibility in work hours. Exciting Projects: Work on innovative marketing campaigns that make a real impact in the industry.
16/03/2026
Full time
Junior Data Scientist. Our client is looking for an enthusiastic Junior Data Scientist to join their dynamic team in London or Reading. This is an exciting opportunity to join a leading market research research agency supporting a range of high profile clients across marketing, advertising, and entertainment industries. What You'll Do: As a Junior Data Scientist, you will play an important role in helping clients uncover insights that drive strategies and campaigns. Your main responsibilities will include: Analyzing data sets to identify trends, patterns, and actionable insights. Collaborating with team members to develop data models and algorithms. Assisting in the creation of visualizations and reports to communicate findings effectively. Supporting the team in A/B testing and performance measurement of marketing campaigns. Contributing to innovative solutions that enhance our data capabilities. Who You Are: Our client is looking for someone who is not only skilled but also brings a positive attitude and a thirst for learning. Here's what they are looking for: A degree in Data Science, Statistics, Computer Science, or a related field. Familiarity with programming languages, particularly Python. Basic understanding of machine learning algorithms and data analysis techniques. Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong analytical skills and attention to detail. Excellent communication skills and the ability to work collaboratively. What you'll get in return: Our client believes data is at the heart of everything they do. They offer a vibrant and supportive work environment where your ideas are valued, and your growth is prioritized. Perks of joining our team include: Career Development: ongoing training and mentorship to help you grow in your role. Team Spirit: Join a friendly team that celebrates success together and supports each other. Flexible Work Environment: Our client understands the importance of work-life balance and offer flexibility in work hours. Exciting Projects: Work on innovative marketing campaigns that make a real impact in the industry.
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
16/03/2026
Full time
Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £70,000 and £80,000 plus bonus and benefits. This is an exciting opportunity to build a data science capability from the ground up within a well-funded, high-impact organisation. You will join at a time where they expand their AI, automation, and analytics function, taking full ownership of predictive modelling projects that directly influence commercial decisions and operational efficiency. The Company They are a specialist organisation operating at the intersection of healthcare, supply chain, and strategic procurement. Their work ensures reliable access to essential products for millions of end users, using advanced analytics and supplier intelligence to secure cost-efficient, high-quality supply. With strong investment behind technology and AI, they are now evolving towards a more sophisticated, data-driven operating model. The Role Lead the development of predictive ML models to optimise pricing, bidding strategies, and market behaviour. Build data-driven workflows that improve operational processes and automate manual tasks. Contribute to early-stage AI initiatives, including conversational interfaces and intelligent assistants. Shape project plans, define requirements, and communicate insights to senior stakeholders. Deliver end-to-end modelling, from scoping and feature design to deployment and iteration. Act as the most senior data science practitioner, setting foundations for how the function will scale. Your Skills and Experience Strong commercial experience in machine learning, predictive modelling, and delivering production-ready solutions. Proficiency in Python and experience working with cloud environments, ideally Azure. Ability to work autonomously, make pragmatic technical decisions, and drive business outcomes. Comfortable collaborating with stakeholders across commercial, operations, and technology. Broad skill set across supervised learning, workflow automation, and hands-on engineering. STEM academic background with strong analytical foundations. What They Offer Competitive salary plus bonus and full benefits. Hybrid working with a minimum of one office day per week. The chance to build a new data science capability in a growing team. High visibility with opportunities to shape strategy, tooling, and delivery standards. Future headcount growth, including adjacent roles such as ML Ops. How to Apply If this opportunity sounds like the right next step, please apply with your CV or email me at for more information.
Azure DevOps Engineer (SC Cleared) London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) DevOps Platform Engineer needed with active SC Security Clearance and strong Azure Cloud expertise including Databricks + Data Factory. 6 Month Rolling Contract based in London. Start ASAP in March/April 2026. Hybrid Working - 2 days/week remote (WFH) + 3 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Azure Databricks Economic Data Platform is critical for Monetary Analysis, Forecasting + Modelling, used by data scientists, developers + economists. In-depth Azure Cloud platform engineering including: Azure Databricks, Data Factory, WebApp Service, API Management + APIOps. Building / maintaining core infrastructure + tooling, Infrastructure-as-Code (IaC), DevOps practices, containerisation + orchestration. Creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management + enhances productivity. Tools: GitHub Action (preferred), IaC, Terraform, ARM templates, Bicep, CI/CD principles, Github Action, Azure DevOps, Jenkins, GitLab CI. Containerisation + orchestration tools: Docker, Kubernetes, AKS. Scripting skills: PowerShell, Bash, YAML, Python. Configuration management tools: Ansible, Puppet, Chef. Azure Certifications preferred: Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Solutions Architect Expert. SC Security Clearance is essential for this contract.
16/03/2026
Contractor
Azure DevOps Engineer (SC Cleared) London (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35) DevOps Platform Engineer needed with active SC Security Clearance and strong Azure Cloud expertise including Databricks + Data Factory. 6 Month Rolling Contract based in London. Start ASAP in March/April 2026. Hybrid Working - 2 days/week remote (WFH) + 3 days/week working from the office in London . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Azure Databricks Economic Data Platform is critical for Monetary Analysis, Forecasting + Modelling, used by data scientists, developers + economists. In-depth Azure Cloud platform engineering including: Azure Databricks, Data Factory, WebApp Service, API Management + APIOps. Building / maintaining core infrastructure + tooling, Infrastructure-as-Code (IaC), DevOps practices, containerisation + orchestration. Creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management + enhances productivity. Tools: GitHub Action (preferred), IaC, Terraform, ARM templates, Bicep, CI/CD principles, Github Action, Azure DevOps, Jenkins, GitLab CI. Containerisation + orchestration tools: Docker, Kubernetes, AKS. Scripting skills: PowerShell, Bash, YAML, Python. Configuration management tools: Ansible, Puppet, Chef. Azure Certifications preferred: Azure DevOps Engineer Expert, Azure Administrator Associate, Azure Solutions Architect Expert. SC Security Clearance is essential for this contract.
We are currently looking for a Senior Business Analyst to join our Digital & Service Design Function within the Digital & Technology group. This is a full-time opportunity, on a permanent basis. The role will be based in 7/8 Wellington Place, Leeds, LS1 4AP. Client Details Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (DTG) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! Its centre of excellence is also responsible for delivering a broad portfolio of change initiatives, both to transform the Agency's legacy technologies and to deliver innovative new solutions, designed around our customers' needs. DTG works in a holistic way to combine digital and technology change, data and information management, project delivery, business process, product management and cultural change to maximise out impact and ensure sustainability. We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. DTG is a great place to build your career, and we are committed to enabling our people to do the best work of their lives. Description What's the role? This is a high-profile role delivering business analysis services for our portfolio, programmes and projects. You will assist in developing innovative and strategic approaches to solving business issues using technology, that aligns with the Agency's overall strategy. You will support the business and work with IT colleagues to ensure the best and most cost-effective technology solutions are developed and deployed. You are pivotal in understanding and analysing user and business needs. You will ensure outcomes are aligned with service vision and business strategy by contributing to the link between current and future business models and delivering to the business architecture. You will work directly with key stakeholders in the business to understand and document key business opportunities that align with the overall Agency needs and the individual divisional business needs. Key responsibilities: Lead on the preparation of the business analysis approach and plan for agreed projects and programmes. This could include developing detailed workshop plans and ensuring appropriate time is integrated into the wider delivery plan for consolidating analysis findings into functional requirements. Lead engagement with all relevant stakeholders on the analysis and design for the project or programme. Do this by influencing and managing relationships effectively, ensuring business analysis outputs are captured and agreed by all stakeholders, ensure those in the projects and programmes are positively engaged taking account of their levels of influence and interest. Lead digital and business teams to reach a consensus on an agreed minimum viable product that will reach and attain benefits realisation, ensure the modelling of business processes, data and systems meet these requirements. Ensure the smooth transition of ongoing business analysis activities from the design phase into implementation and delivery of the project. Work effectively with testing partners, training partners, change managers and the business in defining acceptance criteria and business readiness principles. Contribute to the on-going development of the Business Analysis Framework to support the delivery of business analysis services within the organisation, providing direction and guidance to the team and supporting the development of others in the area of business analysis. Apply and champion agreed methodologies, tools and frameworks appropriate for organisational context. Who are we looking for? Our successful candidate will: Develop and implement a business analysis approach and plan for fast-paced, complex and multi-faceted digital projects and programmes. Contribute and input into wider project and programme planning and delivery. Work outside their remit to ensure delivery stays on track by supporting colleagues in other disciplines to achieve common goals. Work to an agreed scope of work, appreciating financial and time constraints. Challenge where appropriate by completing an impact assessment, raising risks and issues early but also have the confidence and ability to influence decision making to deliver against the objectives and goals of the project and programme business case. Profile Method of assessment: A=Application, T=Test, I=Interview, P=Presentation Behaviour Criteria: Changing and Improving (I) Making Effective Decisions (P) Managing a Quality Service (I) Delivering at Pace (I) Experience Criteria: Experience of successfully creating, project managing and delivering Business Analysis activities and artefacts within a project/programme or portfolio including but not limited to gathering, documenting business requirements and user stories, evaluating requirements against the present process state and target process states to develop successful requirements for the transition (A, I) Extensive and proven ability to work with discretion and capability in own area. Evidence of working effectively as part of a multi-disciplinary team, working across boundaries and delegating where appropriate, adding value through strategic thinking (I) Evidence of the ability to make decisions confidently and demonstrate understanding of the complexity and diversity of customer needs and expectations, making disciplined decisions based on available information (I, P) Experience of using agile methodology in delivery and a track record of applying an agile mindset to all aspects of their work (A, I) Technical Criteria: Ideally you will hold a degree or post graduate qualification in a computing or science discipline, or have extensive relatable work experience (A) Ideally you will hold a Business Analysis Qualification or demonstrate experience of undertaking business analysis in a comparable setting (A) Strengths Criteria Analytical (I) Negotiator (I) Service Focussed (I) The selection process: We use the Civil Service Success Profiles to assess our candidates. Online application form. Please ensure all application questions are completed in full; your application may not be considered if any responses are left blank. Our applications are CV blind, and our Hiring Managers will not be able to access your CV when reviewing your application. Please ensure not to include any personal identifying information on your supporting information. Presentation, to be prepared as part of your interview, with further information being supplied when you reach this stage. Interview, which can include questions based on the Behaviour, Experience, Technical and Strengths Success Profiles. If you require any disability related adjustments at any point during the process, please contact as soon as possible. Closing date: 10am Monday 30th March 2026 Shortlisting date: w/c 6th April 2026 Interview date: w/c 27th April 2026 Candidates will be subject to UK immigration requirements as well as Civil Service nationality rules. Successful candidates must pass a disclosure and barring security check as well as animal rights and pro-life activism checks. People working with government assets must complete People working with government assets must complete basic personnel security standard checks. Job Offer (phone number removed) p.a. + benefits Public Sector Pension Hybrid & Flexible Working (3 days per week in office)
16/03/2026
Full time
We are currently looking for a Senior Business Analyst to join our Digital & Service Design Function within the Digital & Technology group. This is a full-time opportunity, on a permanent basis. The role will be based in 7/8 Wellington Place, Leeds, LS1 4AP. Client Details Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (DTG) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! Its centre of excellence is also responsible for delivering a broad portfolio of change initiatives, both to transform the Agency's legacy technologies and to deliver innovative new solutions, designed around our customers' needs. DTG works in a holistic way to combine digital and technology change, data and information management, project delivery, business process, product management and cultural change to maximise out impact and ensure sustainability. We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. DTG is a great place to build your career, and we are committed to enabling our people to do the best work of their lives. Description What's the role? This is a high-profile role delivering business analysis services for our portfolio, programmes and projects. You will assist in developing innovative and strategic approaches to solving business issues using technology, that aligns with the Agency's overall strategy. You will support the business and work with IT colleagues to ensure the best and most cost-effective technology solutions are developed and deployed. You are pivotal in understanding and analysing user and business needs. You will ensure outcomes are aligned with service vision and business strategy by contributing to the link between current and future business models and delivering to the business architecture. You will work directly with key stakeholders in the business to understand and document key business opportunities that align with the overall Agency needs and the individual divisional business needs. Key responsibilities: Lead on the preparation of the business analysis approach and plan for agreed projects and programmes. This could include developing detailed workshop plans and ensuring appropriate time is integrated into the wider delivery plan for consolidating analysis findings into functional requirements. Lead engagement with all relevant stakeholders on the analysis and design for the project or programme. Do this by influencing and managing relationships effectively, ensuring business analysis outputs are captured and agreed by all stakeholders, ensure those in the projects and programmes are positively engaged taking account of their levels of influence and interest. Lead digital and business teams to reach a consensus on an agreed minimum viable product that will reach and attain benefits realisation, ensure the modelling of business processes, data and systems meet these requirements. Ensure the smooth transition of ongoing business analysis activities from the design phase into implementation and delivery of the project. Work effectively with testing partners, training partners, change managers and the business in defining acceptance criteria and business readiness principles. Contribute to the on-going development of the Business Analysis Framework to support the delivery of business analysis services within the organisation, providing direction and guidance to the team and supporting the development of others in the area of business analysis. Apply and champion agreed methodologies, tools and frameworks appropriate for organisational context. Who are we looking for? Our successful candidate will: Develop and implement a business analysis approach and plan for fast-paced, complex and multi-faceted digital projects and programmes. Contribute and input into wider project and programme planning and delivery. Work outside their remit to ensure delivery stays on track by supporting colleagues in other disciplines to achieve common goals. Work to an agreed scope of work, appreciating financial and time constraints. Challenge where appropriate by completing an impact assessment, raising risks and issues early but also have the confidence and ability to influence decision making to deliver against the objectives and goals of the project and programme business case. Profile Method of assessment: A=Application, T=Test, I=Interview, P=Presentation Behaviour Criteria: Changing and Improving (I) Making Effective Decisions (P) Managing a Quality Service (I) Delivering at Pace (I) Experience Criteria: Experience of successfully creating, project managing and delivering Business Analysis activities and artefacts within a project/programme or portfolio including but not limited to gathering, documenting business requirements and user stories, evaluating requirements against the present process state and target process states to develop successful requirements for the transition (A, I) Extensive and proven ability to work with discretion and capability in own area. Evidence of working effectively as part of a multi-disciplinary team, working across boundaries and delegating where appropriate, adding value through strategic thinking (I) Evidence of the ability to make decisions confidently and demonstrate understanding of the complexity and diversity of customer needs and expectations, making disciplined decisions based on available information (I, P) Experience of using agile methodology in delivery and a track record of applying an agile mindset to all aspects of their work (A, I) Technical Criteria: Ideally you will hold a degree or post graduate qualification in a computing or science discipline, or have extensive relatable work experience (A) Ideally you will hold a Business Analysis Qualification or demonstrate experience of undertaking business analysis in a comparable setting (A) Strengths Criteria Analytical (I) Negotiator (I) Service Focussed (I) The selection process: We use the Civil Service Success Profiles to assess our candidates. Online application form. Please ensure all application questions are completed in full; your application may not be considered if any responses are left blank. Our applications are CV blind, and our Hiring Managers will not be able to access your CV when reviewing your application. Please ensure not to include any personal identifying information on your supporting information. Presentation, to be prepared as part of your interview, with further information being supplied when you reach this stage. Interview, which can include questions based on the Behaviour, Experience, Technical and Strengths Success Profiles. If you require any disability related adjustments at any point during the process, please contact as soon as possible. Closing date: 10am Monday 30th March 2026 Shortlisting date: w/c 6th April 2026 Interview date: w/c 27th April 2026 Candidates will be subject to UK immigration requirements as well as Civil Service nationality rules. Successful candidates must pass a disclosure and barring security check as well as animal rights and pro-life activism checks. People working with government assets must complete People working with government assets must complete basic personnel security standard checks. Job Offer (phone number removed) p.a. + benefits Public Sector Pension Hybrid & Flexible Working (3 days per week in office)
Data Engineers, Data Architects and Data Scientists with current eDV Clearance required to join a leading IT Consultancy delivering secure cloud solutions for high-profile government and national security clients. This role offers the opportunity to work on complex, mission-critical programmes, helping organisations modernise their technology platforms through data-first architecture and innovative solution design. Due to the sensitive nature of the work, candidates must hold active enhanced UKIC DV (eDV) clearance (Green badge/West, South, North) to be considered for this position. Requirements: Higher level security clearance (green badge/eDV) is a hard requirement Data Architect, Data Engineers, Data Scientist wanted 4 days on-site Active enhanced DV (eDV) security clearance is essential for this role. Data Architect salary up to £105k, Data Engineer salary up to £75k, Data Scientist Salary up to £90k. Plus signing on bonus and great benefits, along with the opportunity to work on highly secure, nationally significant technology programmes. Due to the sensitive nature of the work, the role will involve onsite work (approx. 4 days per week) at client locations in London or South West of England. To apply for either this Data Architect role Data Engineer role or Data Scientist role, please send your CV to Rob Goffin at IT Recruitment Solutions.
16/03/2026
Full time
Data Engineers, Data Architects and Data Scientists with current eDV Clearance required to join a leading IT Consultancy delivering secure cloud solutions for high-profile government and national security clients. This role offers the opportunity to work on complex, mission-critical programmes, helping organisations modernise their technology platforms through data-first architecture and innovative solution design. Due to the sensitive nature of the work, candidates must hold active enhanced UKIC DV (eDV) clearance (Green badge/West, South, North) to be considered for this position. Requirements: Higher level security clearance (green badge/eDV) is a hard requirement Data Architect, Data Engineers, Data Scientist wanted 4 days on-site Active enhanced DV (eDV) security clearance is essential for this role. Data Architect salary up to £105k, Data Engineer salary up to £75k, Data Scientist Salary up to £90k. Plus signing on bonus and great benefits, along with the opportunity to work on highly secure, nationally significant technology programmes. Due to the sensitive nature of the work, the role will involve onsite work (approx. 4 days per week) at client locations in London or South West of England. To apply for either this Data Architect role Data Engineer role or Data Scientist role, please send your CV to Rob Goffin at IT Recruitment Solutions.
Analytics Platform Engineer (Python, Kubernetes) - Secure Gov - Cheltenham - (RL8096) Job Title - Analytics Platform Engineer (Principle & Senior) Location - Cheltenham Salary - Competitive Benefits - Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission-critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client - We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission-critical solutions. Operating at the forefront of data, cloud, and AI-driven innovation, they offer an environment where engineers can work on complex, high-impact challenges with real-world significance. The Candidate - This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role - We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high-impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full life cycle from development through to deployment and ongoing optimisation. This is a hands-on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms Contribute across the full software development life cycle Support cloud migration and data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply for this Analytics Platform Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
13/03/2026
Full time
Analytics Platform Engineer (Python, Kubernetes) - Secure Gov - Cheltenham - (RL8096) Job Title - Analytics Platform Engineer (Principle & Senior) Location - Cheltenham Salary - Competitive Benefits - Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission-critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client - We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission-critical solutions. Operating at the forefront of data, cloud, and AI-driven innovation, they offer an environment where engineers can work on complex, high-impact challenges with real-world significance. The Candidate - This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role - We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high-impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full life cycle from development through to deployment and ongoing optimisation. This is a hands-on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms Contribute across the full software development life cycle Support cloud migration and data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/CD pipelines (eg GitLab) Exposure to data platforms, MLOps or machine learning environments Desirable: Spark or Scala AWS services (eg S3) Elasticsearch or graph databases Vector databases/modern data tooling OIDC/OAuth Node.js or React To apply for this Analytics Platform Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
12/03/2026
Full time
The Opportunity: You'll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Software Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you'll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today's society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years' experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (eg Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
12/03/2026
Full time
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
12/03/2026
Full time
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
12/03/2026
Full time
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
12/03/2026
Full time
Senior Data Scientist Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: Employer pension contribution of 28.97% of your salary. 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren t limited to: Conceptualising and developing high-impact data science solutions. Writing and reviewing code using best practices from software development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. Explore and visualise data to uncover valuable insights Offer recommendations that solve complex problems and empower strategic and operational decision making Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: Developing and deploying AI and data science solutions to tackle business challenges at pace. Inferring, predicting or forecasting using appropriate machine learning techniques. Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. Quantitatively evaluating data science and AI solutions using novel designs and data sets. Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). Continually promoting professional development and sharing best practices. Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). A high level of competence in applied maths, statistics and scientific methods. Clear written and verbal communication. Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.
