Lead Data Product Manager – Insurance
London (Hybrid – 3 days in office)
£100,000 – £125,000 | Sponsorship: Not available

VIQU have partnered with a major international insurance organisation undergoing a significant data, AI, and machine learning transformation across its UK & Ireland operations. With a strong investment in cloud data platforms and advanced analytics, the business is building a modern data product capability to drive better decision-making across pricing, underwriting, claims, and risk.

They are now looking for a Lead Data Product Manager to take ownership of a growing portfolio of data and machine learning products, shaping how data is turned into scalable, high-value products used across the organisation.

This role will sit at the intersection of product, data science, and engineering, working closely with business leaders to identify opportunities where data and ML can deliver measurable commercial impact. You will define the product strategy and roadmap, lead cross-functional collaboration, and ensure products are successfully adopted across the insurance business.

Key Responsibilities

• Define and drive the data and machine learning product strategy aligned with business and data objectives.
• Develop and maintain data product roadmaps and product catalogues that support both current and future business needs.
• Work closely with data science, engineering, and business stakeholders to prioritise and deliver impactful products.
• Own the end-to-end lifecycle of data products, from ideation through to delivery, adoption, and continuous improvement.
• Establish governance and operating models for data products and ML solutions, ensuring compliance and quality.
• Define KPIs and success metrics to measure product performance and ROI.

Key Requirements

• Proven experience as a Data Product Manager / Lead Product Manager working with data, AI, or machine learning products.
• Strong insurance industry background, with knowledge of areas such as pricing, underwriting, claims, or risk.
• Experience defining product strategies, roadmaps, and data product operating models.
• Strong stakeholder management skills, working across business, technology, and data teams.
• Practical understanding of cloud data platforms such as Azure and Databricks.
• Excellent communication skills, with the ability to translate complex data concepts for senior stakeholders.

This is a fantastic opportunity to play a key role in shaping the future of data and AI products within a large insurance organisation, helping to embed data-driven decision making across the business.

Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more exciting roles and opportunities, follow us on LinkedIn @VIQU IT Recruitment.

Job Title: Gen AI Engineer
Location: Norwich, Norfolk
Job Type: Contract (Inside IR35)
Duration: 6 Months Job Summary:
Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems and enhance product offerings. You will collaborate with cross-functional teams to integrate advanced AI capabilities into scalable applications, driving impactful innovation within a purpose-led global organisation. Key Responsibilities:

• Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL E, Stable Diffusion).
• Fine-tune and optimize large language models (LLMs) for specific tasks and domains.
• Build pipelines for data preprocessing, model training, evaluation, and deployment.
• Collaborate with product, design, and engineering teams to integrate AI features into products.
• Conduct research and stay up to date with the latest advancements in generative AI.
• Ensure ethical and responsible AI development, including bias mitigation and safety evaluations.

Essential Skills, Experience, and Abilities:

• Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Solid understanding of deep learning, NLP, and generative modeling techniques.
• Experience with training and fine-tuning large-scale models.
• Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools.

An exciting opportunity for an RF-focused Data Scientist / Research Engineer to join a stealth-mode start-up developing novel UAV/detection systems. This role offers the chance to work at the cutting edge of RF hardware, software-defined radio, and intelligent signal processing helping shape the next generation of real-world RF sensing systems.

This company is tackling some of the worlds most pressing challenges, founded by a team of exceptional Engineers who have already realised success with other ventures. The environment is one of deep tech innovation and collaborative problem solving.

Location: Saffron Walden, UK primarily on-site due to the hands-on nature of the work (some hybrid flexibility may be considered depending on the individual and stage of development)
Salary: Up to £65,000 per annum (may be more for an exceptional candidate)

Requirements for RF Data Scientist / Research Engineer:

• Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn)
• Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering
• Hands-on experience working with SDR platforms such as bladeRF, USRP, HackRF, or similar
• Practical knowledge of RF hardware chains (e.g. antennas, ADCs, filters, mixers, gain stages, LO, AGC) and how these impact signal data
• Experience building RF signal characterisation and diagnostics tools, e.g. constellation tracking, time-frequency plots, autocorrelation analysis
• Familiarity with tools such as GNU Radio, SDRangel, SoapySDR, ZMQ
• Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa)
• Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification
• MUST be eligible for SC Clearance due to the nature of the work

Responsibilities for RF Data Scientist / Research Engineer:

• Analyse complex IQ data from SDR hardware in real-world RF environments
• Build signal processing pipelines that work within hardware and software constraints
• Develop tools to visualise and diagnose signal behaviour and system performance
• Prototype real-time and batch-processing architectures using Python and signal processing libraries
• Lead field-based data collection and over-the-air experiments using drones and wireless devices
• Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions
• Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes

What this offers:

• An opportunity to shape an innovative product at the interface of RF and ML
• Work with an exceptional technical team in an early-stage R&D environment
• Deep technical variety across software-defined radio, machine learning, and signal intelligence
• Competitive package and future leadership potential

Applications:
If you would like to enquire about this unique RF Data Scientist / Research Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of any online repositories via the relevant link.

Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website).

RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia and entering industry. Even if the above role isnt of interest, please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Keywords: RF Data Scientist / Research Engineer / RF Signal Processing / SDR Engineer / IQ Data Analysis / Software Defined Radio / bladeRF / USRP / HackRF / GNU Radio / RF DSP / Wireless Signal Intelligence / Digital Signal Processing Engineer / RF Python Developer / Python Signal Processing / RF Classification / Electromagnetic Signal Analysis / Wireless Spectrum Monitoring / Signal Intelligence / Drone Detection Systems / RF Machine Learning / RF System Modelling / RF Detection Engineer

Your new company
A high-profile Central Government Client managing the UK’s Import/Export and Trade
Your new role
Data & AI Product Manager - SC Cleared
What you’ll need to succeed
We are looking for an experienced Data & AI Product Manager who is SC Cleared or SC Clearable, to support the client in their journey to ensuring Digital Product and Processes are fit for purpose for future Government AI and Data needs/deliverables.
The role requires SC Clearance, only candidates with ACTIVE SC or SC CLEARABLE backgrounds can be considered.

Core Requirements:

• Experienced IT Product Manager
• Understanding of the latest AI and Data Technologies and how they can support efficiencies across the estate
• Thought-Leadership across a team of Service Owners in influencing the work of AI and Data supporting the organisation’s needs

Your duties and responsibilities include:

• Developing product strategies and roadmaps that align with company goals
• Working closely with the development team to design, build, and rollout new products
• Overseeing all stages of product development, from initial concept to product release
• Conducting market research to identify customer needs and market trends
• Collaborating with various stakeholders, including marketing teams, to develop effective go-to-market strategies
• Defining and monitoring key performance indicators to evaluate the product’s success
• Resolving any issues that arise during the product development process
• Coordinating with the sales and customer service teams to ensure the product meets customer expectations
• Regularly reviewing and updating the product portfolio to ensure it remains competitive

What you’ll get in return
This is an excellent role for anyone with an affinity/drive in implementing what we know about AI and Data today and how it can make businesses and processes more efficient within the current available estate.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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 at hays.co.uk

An exciting opportunity for an RF-focused Data Scientist / Research Engineer to join a stealth-mode start-up developing novel UAV/detection systems. This role offers the chance to work at the cutting edge of RF hardware, software-defined radio, and intelligent signal processing helping shape the next generation of real-world RF sensing systems. This company is tackling some of the worlds most pressing challenges, founded by a team of exceptional Engineers who have already realised success with other ventures. The environment is one of deep tech innovation and collaborative problem solving. Location: Saffron Walden, UK primarily on-site due to the hands-on nature of the work (some hybrid flexibility may be considered depending on the individual and stage of development) Salary: Up to £65,000 per annum (may be more for an exceptional candidate) Requirements for RF Data Scientist / Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such as bladeRF, USRP, HackRF, or similar Practical knowledge of RF hardware chains (e.g. antennas, ADCs, filters, mixers, gain stages, LO, AGC) and how these impact signal data Experience building RF signal characterisation and diagnostics tools, e.g. constellation tracking, time-frequency plots, autocorrelation analysis Familiarity with tools such as GNU Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities for RF Data Scientist / Research Engineer: Analyse complex IQ data from SDR hardware in real-world RF environments Build signal processing pipelines that work within hardware and software constraints Develop tools to visualise and diagnose signal behaviour and system performance Prototype real-time and batch-processing architectures using Python and signal processing libraries Lead field-based data collection and over-the-air experiments using drones and wireless devices Collaborate with a multidisciplinary team to develop SDR-based detection and intelligence solutions Model and mitigate hardware-induced effects to improve signal fidelity and inference outcomes What this offers: An opportunity to shape an innovative product at the interface of RF and ML Work with an exceptional technical team in an early-stage R&D environment Deep technical variety across software-defined radio, machine learning, and signal intelligence Competitive package and future leadership potential Applications: If you would like to enquire about this unique RF Data Scientist / Research Engineer opportunity, we would love to hear from you. Please send an up-to-date CV including details of any online repositories via the relevant link. Were committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing (if this email address has been removed by the job board, full contact details are readily available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists leaving academia and entering industry. Even if the above role isnt of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Keywords: RF Data Scientist / Research Engineer / RF Signal Processing / SDR Engineer / IQ Data Analysis / Software Defined Radio / bladeRF / USRP / HackRF / GNU Radio / RF DSP / Wireless Signal Intelligence / Digital Signal Processing Engineer / RF Python Developer / Python Signal Processing / RF Classification / Electromagnetic Signal Analysis / Wireless Spectrum Monitoring / Signal Intelligence / Drone Detection Systems / RF Machine Learning / RF System Modelling / RF Detection Engineer TPBN1\_UKTJ

Machine Learning Researcher (PhD Statistics Python AI R&D) Cambridge / WFH to £85k

Are you a tech savvy, PhD educated, Machine Learning Researcher looking for an opportunity to work on complex and interesting systems at the cutting edge of AI technology?

You could be progressing your career working on real-world problems within a high successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning.

As a Machine Learning Researcher you will work fairly independently, developing your own research programme, with a view to developing new tools and techniques for probabilistic models, Bayesian optimisation and related fields. You will actively engage in team collaborations to meet research goals and report your research findings both internally and externally.

You’ll use your research to contribute to product development and customer research projects as well as contributing to the company’s open source libraries.

Location / WFH:

You’ll join the team in Cambridge, ideally once a week (potentially once a month) with flexibility to work from home most of the time.

About you:

• You’re educated to PhD level in a relevant discipline i.e. Machine Learning, Deep Learning, Artificial Intelligence
• You have published at least two research papers on Machine Learning, Statistics or optimisation on NeurIPS, AISTATS, ICML (ICLR, AIAA, COLT, ECML, IEEE)
• You have experience of applying research to real-world problems
• You have an advanced knowledge of decision making techniques e.g. Bayesian optimisation, bandits, reinforcement learning, active learning and / or probabilistic modelling and methods e.g. Gaussian processes, Bayesian neural networks, Variational inference, etc.
• You have experience with Python numerical programming e.g. NumPy, TensorFlow, PyTorch
• Ideally you will have an interest in the automotive sector and sustainability

What’s in it for you:

• Competitive salary - to £85k
• Private Health Care
• Life Assurance
• Up to 6% employer pension contribution
• 25 days holiday
• Hybrid / remote working

Apply now to find out more about this Machine Learning Researcher (PhD Statistics Python AI R&D) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

My client is a fast-growing UK business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment.

This is a hands-on role combining technical ownership and production-grade model deployment.

The Role

As Senior Data Scientist, you will:

• Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance
• Translate business objectives into modelling strategies aligned to risk appetite and operational constraints
• Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent)
• Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions
• Establish monitoring frameworks for performance, drift, and retraining
• Drive clear documentation, traceability, and governance appropriate for a regulated environment

This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance.

Essential Experience

• Proven commercial ML/Data Science delivery with measurable impact
• Experience taking models into production and managing performance over time
• Prior experience leading or mentoring Data Scientists
• Strong Python (pandas, numpy, scikit-learn or similar)
• Strong SQL (complex joins, aggregations, analytical functions)
• Solid grounding in applied statistics, evaluation design, calibration, bias/fairness
• Experience working closely with Engineering/Data teams in production-first environments
• Comfortable operating within regulated industries

Desirable

• AWS experience (S3, Athena/Glue, IAM, Lambda)
• SageMaker or equivalent ML platform experience
• Financial services domain knowledge (risk, fraud, affordability, payments)
• Experience with model explainability and governance documentation

Package & Benefits

• Hybrid working model
• Competitive pension
• Additional paid leave (birthday, charity, wellbeing, life events)
• Employee assistance programme & Virtual GP
• Modern collaborative office environment

Interested? Please Click Apply Now!Senior Data Scientist

Job Title: ML Data Associate

Location: Dublin
Working Pattern: Full Time

Are you ready to be part of a groundbreaking journey in the world of AI? Our client, a leading organization in the technology sector, is on the lookout for a talented ML Data Associate to join their innovative team! If you have a passion for data, languages, and cutting-edge technology, we want to hear from you!

Why Join Us?
At our client’s organization, we believe that AI is the most transformative technology of our time. With a commitment to developing and deploying responsible AI solutions, we are excited to welcome creative thinkers who want to make a difference. Here, you won’t just think outside the box-you’ll help create a bigger one!

Key Responsibilities:

• Data Handling: Work with diverse data types, including text, speech, audio, images, and videos.
• High-Quality Output: Deliver accurately labeled data while adhering to provided guidelines and KPIs.
• Insight Generation: Demonstrate proficiency in generating high-quality human insight data across various modalities.
• Problem Solving: Make sound judgments and logical decisions, even when faced with ambiguous information.
• Attention to Detail: Maintain a keen eye for detail and adapt quickly between different requirements.
• Operational Support: Assist in daily operational tasks and clarify internal queries as needed.
• Quality Enhancement: Analyze root causes of issues, identify error patterns, and propose effective solutions.

A Day in the Life:
As an ML Data Associate, you will play a vital role in foundational labelling functions, including dialogue evaluation on speech, text, audio, and video data. Your ability to concentrate, multitask, and maintain confidentiality will ensure high-quality deliverables that align with our commitment to securing customer information.

You’ll work alongside a diverse team with a shared vision of improving lives through practical and useful generative AI innovations. Your inner drive, individuality, and creativity will be your greatest assets in this dynamic environment!

What We’re Looking For:

• Language Proficiency: Fluency in Dutch, Italian, German, or French is a must!
• Technical Skills: Experience in data analysis and labeling.
• Attention to Detail: A meticulous approach to work with the ability to pivot swiftly between tasks.
• Strong Communication: Excellent communication skills to collaborate effectively within the team.
• Problem-Solving Mindset: A proactive attitude towards identifying and resolving issues.

Why You Should Apply:

• Innovative Environment: Be part of a forward-thinking organization that values creativity and innovation.
• Growth Opportunities: Join a team that encourages personal and professional development.
• Impactful Work: Contribute to projects that have the potential to transform the way we interact with technology.

Are you ready to take the next step in your career? If you have the skills and enthusiasm to make a real impact in the world of AI, we want to hear from you!

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Your new company
A high-profile Central Government Client managing the UK’s Import/Export and Trade
Your new role
Data & AI Product Manager - SC Cleared
What you’ll need to succeed
We are looking for an experienced Data & AI Product Manager who is SC Cleared or SC Clearable, to support the client in their journey to ensuring Digital Product and Processes are fit for purpose for future Government AI and Data needs/deliverables.
The role requires SC Clearance, only candidates with ACTIVE SC or SC CLEARABLE backgrounds can be considered.

Core Requirements:

• Experienced IT Product Manager
• Understanding of the latest AI and Data Technologies and how they can support efficiencies across the estate
• Thought-Leadership across a team of Service Owners in influencing the work of AI and Data supporting the organisation’s needs

Your duties and responsibilities include:

• Developing product strategies and roadmaps that align with company goals
• Working closely with the development team to design, build, and rollout new products
• Overseeing all stages of product development, from initial concept to product release
• Conducting market research to identify customer needs and market trends
• Collaborating with various stakeholders, including marketing teams, to develop effective go-to-market strategies
• Defining and monitoring key performance indicators to evaluate the product’s success
• Resolving any issues that arise during the product development process
• Coordinating with the sales and customer service teams to ensure the product meets customer expectations
• Regularly reviewing and updating the product portfolio to ensure it remains competitive

What you’ll get in return
This is an excellent role for anyone with an affinity/drive in implementing what we know about AI and Data today and how it can make businesses and processes more efficient within the current available estate.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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 at (url removed)

Corsham (Wiltshire)
6 Month Contract
£450/day (Outside IR35)

Data Platform Consultant needed with active SC Security Clearance and strong Tableau + AWS Cloud expertise.

6 Month Rolling Contract based in Corsham (Wiltshire). Start ASAP in March/April 2026.

Hybrid Working - 3 days/week remote (WFH) + 2 days/week working from the office in Corsham (Wiltshire).

A chance to work with a leading global IT and Digital transformation business specialising in large-scale Government projects:

• Project Objective: design, build + implementation of a cloud based Data Analytics platform to provide data workflow, data visualisation + dashboard solutions.
• Key Skills: Tableau, Power BI + Apache Superset dashboard + data visualisation tools.
• AWS / Cloud Native Infrastructure environments.
• Python / R-style workflow development environments, SQL querying + data transformation skills.
• Hands-on experience with secure, cloud-based Data Analytics platforms.
• Supporting definition of the POC scoping, success criteria + value proposition.
• Shaping the technical path from POC to MVP considering scalability, security, governance + reuse.
• Supporting build, configuration + implementation activities alongside developers + data engineers.
• Ability to simplify complexity + communicate technical trade-offs clearly to key stakeholders.
• In-depth experience in Data Engineering, Data Analytics platforms and Data Science.
• Identity Access Management (IAM/IDAM) experience would be advantageous.

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 proceed through the following link to be redirected to our website to complete your application. https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=dXNlcnNlYXJjaGNvbnRleHQ9MTc3OTA1MzUyJnNlYXJjaHBhZ2U9MSZqb2JsaXN0X3ZpZXdfdmFjPTE5OTAwODkmcGFnZWFjdGlvbj12aWV3dmFjYnlqb2JsaXN0Jm93bmVyPTUwNzAwMDAmc2VhcmNoc29ydD1jbG9zaW5nJm93bmVydHlwZT1mYWlyJnBhZ2VjbGFzcz1Kb2JzJnJlcXNpZz0xNzczMjI5MzU4LWY3YjRhMTZlZGE5MTUwMjRlMGMzNWQzNWI5NmMzMGQ2ZTNkYWY2ZGU=

ABOUT THE ROLE

• Develop advanced analytics / data science solutions to solve problems focused on forecasting, new site selection, ordering, production, rota scheduling, logistics and online services optimisation.
• Extend functionality of our Bread GPT service (Large Language Model insight synthesis engine).
• Data engineering: build and develop ETL processes in Microsoft Fabric to support reporting, insight and applied AI models
• A hands-on role working with other staff and partners.
• Utilize data science and analytics to enhance application functionality and performance. Work with the data team to create and deploy machine learning models and AI-driven solutions for real-world applications.
• Ensure the continuous development and delivery of solutions.
• Monitor and evolve solutions.
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement.
• Develop effective working relationships with colleagues within and beyond the Technology team to ensure that a consistent, high-quality service is delivered.

ARE YOU THE MISSING INGREDIENT

• Ideally a bachelor’s degree in Computer Science, Analytics, Engineering, or a related field.
• Minimum of 3+ years of experience within excellent knowledge of Python and preferably R.
• Knowledge of ETL processes - ideally basic understanding of Microsoft ETL (Data Factory / Synapse / Fabric)
• Knowledge of databases (SQL & NoSQL) and API development/integration.
• Understanding of software development and application design.
• Proven experience in building data science solutions and developing customised LLM applications.
• Strong interest in technology.
• Excellent problem-solving skills and attention to detail.
• Knowledge of effective business analysis - ability to gather, document, and analyze business requirements effectively and the experience creating user stories, process flows, and wireframes.
• Ability to work effectively in a fast-paced, dynamic environment.
• Strong communication and collaboration skills.
• “Can do” outlook and approach to work.
• Demonstrate the ability to think around issues and look at the bigger picture to provide solutions through a variety of problem-solving techniques.
• Ability to prioritise issues according to business needs, and to escalate when necessary/appropriate, and problem solve

Preferred Qualifications:

• Experience in manufacturing, retail or hospitality industries.
• Knowledge of programming languages and frameworks.

BENEFITS BAKED IN

• Free food and drink when working
• 50% off food and drink when not working
• 33 days holiday
• Pension Scheme
• Discounts and Savings from high-street retailers and restaurants
• 24 hour GP service
• Cycle to work scheme
• Twice yearly pay review
• Development programmes for you to RISE with GAIL’s

Are you a recent postgraduate ready to go wild and stand head and shoulders above the crowd, using advanced AI and computer vision to shape the future of animal welfare?

The University of Surrey, in collaboration with Marwell Wildlife - a leading conservation charity and the owner-operator of Marwell Zoo - is recruiting a forward-thinking AI and Computer Vision Associate to leada transformative Knowledge Transfer Partnership (KTP) Project.

This pioneering projectwill develop an AI-powered nocturnal behaviour observation system, transforming how animal welfare is monitored and understood. By uncovering night-time behavioural changes, you will help enable earlier detection and proactive prevention of health and welfare issues before these become serious. This cutting-edge work will help redefine how animal health and wellbeing are protected and improved.

This growing partnership between the University and Marwell Wildlife aims to connect people with nature, lead the charge in caring for the natural world, and support a thriving future for wildlife.

The Role

Based at Marwell Zoo (near Winchester, Hampshire), you will lead the design and delivery of an end-to-end, 24/7 animal welfare monitoring system. Your work will advance welfare science and support innovative, data-driven revenue streams that support Marwell’s long-term sustainability.

You will work at the intersection of:

• Artificial Intelligence & Computer Vision
• Animal Behaviour & Welfare Science
• Data Analytics, Visualisation & Business Insight

You will be embedded within Marwell’s Animal Science team and supported by University of Surrey academics:

• Professor Kevin Wells, Professor of AI in Human and Veterinary Healthcare.
• Dr Marco Volino, Lecturer in Computer Vision and Graphics.

KTPs offer a unique springboard for your career, combining academic rigour, industry experience, and leadership responsibility to support your development as a future leader in this field.

About You

You are ambitious, curious, and impact-driven, with an interest in animal welfare, animal behaviour, or conservation. You will hold a postgraduate degree in AI, Data Science, Computer Vision or a closely related discipline with strong technical component, or equivalent industrial experience.

You will bring experience in:

• Computer vision and machine learning: developing, training, evaluating, and deploying computer vision models.
• Data visualisation and analytics: turning complex data into actionable insights.
• Programming: strong skills in languages such as Python and C#.
• Applied data science: solving real-world challenges using Machine Learning and Artificial Intelligence techniques.
• Business Intelligence and Data Visualisation: using tools like Power BI, SQL (ideally PostGIS), and cloud-based databases.
• Documentation and communication: clearly documenting processes, data models, and reporting structures.
• Project management and business acumen: mapping business processes, presenting insights, and translating technical concepts for diverse audiences.

You thrive in collaborative environments, are keen to learn new technologies and are motivated by driving innovation through AI and data-driven solutions.

This 36-month fixed-term KTP Associate role offers:

• Hands-on, industry-based experience leading a high-impact AI project in a live conservation-focused setting, working closely with animal science experts
• Mentorship from leading academics, industry experts, and a dedicated KTP support team.
• A Generous personal development budget and dedicated time for training and development.
• Potential for a permanent role at Marwell Wildlife upon successful completion of the KTP (subject to performance and business needs).

This is a rare opportunity to build a cutting-edge technology solution from the ground up while directly contributing to animal welfare and the future resilience of conservation-focused organisations.

How to Apply

Please submit your CV and cover letter on the University website. Informal enquiries are welcomed and can be directed to Dan Bance at: . Please note applications sent directly to this email address cannot be accepted.

As part of the Knowledge Transfer Partnership (KTP) Programme, your application will be reviewed by representatives from both the University of Surrey and the host organisation, the Business Partner. By submitting your application, you consent to your personal details being shared with the business partner and the funder for the purposes of recruitment and project delivery.

Please note that we reserve the right to close this vacancy ahead of the advertised deadline if we receive a high volume of strong applications.

Further details

Job Description

Data Modeller

Remote- Warwick based business
£40,000 - £45,000

A growing engineering consultancy working within the UK water and utilities sector is looking to hire Junior Hydraulic Modellers to join their expanding team.

This is a great opportunity for someone early in their career to develop their experience in hydraulic modelling and water network analysis, working on projects across regulated utilities.

The Role
As a Junior Hydraulic Modeller, you will support the delivery of hydraulic modelling and analysis across water and wastewater networks, working alongside experienced engineers on a range of infrastructure projects.

Key responsibilities include:
Supporting hydraulic modelling of water and wastewater networks
Developing and maintaining hydraulic models
Analysing network performance and system behaviour
Assisting with data analysis and modelling activities
Supporting project delivery and technical reporting

Requirements
We are keen to speak with candidates who have:
Experience or exposure to hydraulic modelling or water network analysis
A background within water utilities, engineering consultancies, or infrastructure environments
Knowledge of modelling tools such as InfoWorks, EPANET, or similar software
Strong analytical and problem-solving skills

What’s On Offer
Salary of £40,000 - £45,000
Remote working
Opportunity to work on projects within the UK water sector
Strong development opportunities within a growing team

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.

BI & Analytics Manager

We are seeking a BI & Analytics Manager to lead and enhance business intelligence and analytics operations within the leisure, travel & tourism industry. This role in Dover requires strong analytical skills and the ability to manage and oversee data-driven decision-making processes.

Client Details

BI & Analytics Manager

The employer is a well-established organisation in the leisure, travel & tourism sector. As a medium-sized company, they are committed to innovation and excellence in delivering exceptional services and experiences to their customers.

Description

BI & Analytics Manager

• Manage and oversee the development of business intelligence and analytics strategies.
• Drive data-driven decision-making processes across the organisation.
• Collaborate with various departments to identify and address analytical needs.
• Develop and maintain dashboards, reports, and data visualisation tools.
• Ensure data accuracy and integrity across all analytics platforms.
• Lead and mentor a team of analytics professionals to achieve business goals.
• Provide insights and recommendations based on data analysis to support strategic initiatives.
• Stay updated on industry trends and incorporate best practices into analytics processes.

Profile

BI & Analytics Manager

A successful BI & Analytics Manager should have:

• A strong background in analytics within the leisure, travel & tourism sector.
• Proficiency in data visualisation tools and business intelligence software.
• Experience in managing and developing a high-performing analytics team.
• Excellent problem-solving and analytical skills.
• A track record of implementing successful data-driven strategies.
• Strong communication skills to present findings effectively to stakeholders.

Job Offer

BI & Analytics Manager

• Competitive salary ranging from 55,000 to 65,000 per annum.
• Comprehensive health benefits, pension scheme, and bonus opportunities.
• Permanent position with a stable and respected organisation in Surrey.
• Opportunities for professional growth within the leisure, travel & tourism industry.
• A supportive and collaborative work environment.

If you are ready to take the next step in your career as a BI & Analytics Manager, we encourage you to apply today!

We’ve partnered with one of the most successful Lloyd’s start-ups to find them a Reinsurance Pricing Actuary. Since launching, the business has grown rapidly while maintaining strong underwriting profitability and has quickly established itself as one of the most exciting platforms in the London Market.

The company is known for its collaborative culture, strong focus on employee wellbeing, and highly competitive bonus structure, making it an excellent environment for actuaries looking to combine technical work with commercial impact.

Key responsibilities:

• Pricing and assessing profitability across casualty reinsurance lines including liability, financial and specialty classes.
• Developing and enhancing pricing models using modern data, analytics and external datasets.
• Partnering closely with underwriters on portfolio strategy, new product exploration and profitable growth opportunities.

This is a fantastic opportunity to join a high-performing, entrepreneurial Lloyd’s platform where actuarial work sits at the heart of underwriting strategy.

For more information please apply.

We have partnered with a well-established specialty insurer to recruit a Capital Actuary into their actuarial function. This role sits within the capital modelling team and plays a key part in internal model development, regulatory reporting, and strategic capital decision-making, with exposure to senior stakeholders and cross-functional committees.Key responsibilities:

• Support the capital modelling function, including ongoing development and maintenance of the internal model.
• Play an integral role in the Lloyd’s Capital Return (LCR) process.
• Support embedded model uses such as reinsurance optimisation, capital allocation, and strategic initiatives (e.g. new classes and portfolio optimisation).
• Contribute to regulatory and risk reporting including SCR, PRA returns, LCM returns, and ORSA.
• Communicate model outputs clearly and enhance management information.
• Work closely with underwriting, risk, and actuarial teams to expand internal model use across the business.
• Outside peak capital periods, support reserving, pricing, and portfolio analytics activities.

This is an excellent opportunity for a nearly or newly qualified actuary to deepen their capital expertise within a dynamic specialty insurance environment, with broad exposure across capital, strategy, and wider actuarial work.Please apply for further information:

We have partnered with a well-established specialty insurer to recruit an Actuarial Capital Analyst into their actuarial function. This role sits within the capital modelling team and offers strong exposure to internal model development, regulatory reporting, and strategic capital initiatives.This is an excellent opportunity for an actuarial analyst with around 18 months experience who is progressing through the actuarial exams and looking to develop their capital modelling expertise within a collaborative and high-performing team while gaining exposure to case pricing, reserving and portfolio analytics. Key responsibilities:

• Support the capital modelling function, including development and maintenance of the internal model.
• Assist with the Lloyd’s Capital Return (LCR) process and related regulatory submissions.
• Contribute to capital reporting including SCR, PRA returns, LCM returns, and ORSA.
• Support model use across the business including reinsurance optimisation, capital allocation, and strategic initiatives.
• Assist in communicating model outputs and enhancing management information.
• Work closely with underwriting, risk, and actuarial teams to expand the use of the internal model.
• Outside of peak capital periods, support wider actuarial work including reserving, pricing, and portfolio analytics.

Please apply for further information.

We have partnered with a leading global reinsurance broker is looking for a Reinsurance Pricing Actuary to join its London Analytics team.This is a high-impact role sitting alongside senior brokers and producers, supporting complex reinsurance placements across international markets. The successful candidate will play a key role in pricing, portfolio analytics, treaty optimisation and the development of stochastic models, while also contributing to client-facing activity and strategic growth initiatives.The Role

• Develop risk pricing and analytical models using actuarial and statistical techniques
• Build and enhance stochastic models for reinsurance optimisation and strategy comparison
• Analyse client and market data, delivering clear insights and recommendations
• Support both existing treaty portfolios and new business opportunities
• Automate and streamline existing analytical processes
• Respond to technical queries and present findings to brokers, reinsurers and clients
• Represent the business in client meetings, reinsurer discussions and audits
• Mentor and support more junior team members

You’ll be joining a fast-growing and well-capitalised broker investing heavily in its analytics capability. The environment is collaborative, technically strong, and internationally focused, offering exposure to complex risks, sophisticated modelling challenges and senior stakeholder interaction.Please apply for more information:

Marketing Data Lead - Decision Intelligence

Marshall Wolfe are hiring on behalf of a large company within finance, for a Marketing Data Lead to build and embed a best-in-class, in-house marketing measurement framework.

This is a high-impact role where you’ll evaluate the effectiveness of current marketing spend, challenge existing channel strategies, and reshape investment decisions using advanced analytics and Marketing Mix Modelling (MMM).

This is a hybrid working role based in London.

The Role

• Lead the design and implementation of a comprehensive marketing measurement framework
• Deliver Marketing Mix Models (MMM) and advanced analytics to assess ROI, incrementality and channel effectiveness
• Provide strategic, data-driven counsel to senior Marketing and Commercial stakeholders
• Identify opportunities to rebalance and rescale media investment based on predictive modelling and performance insight
• Translate complex data into clear, commercially actionable recommendations
• Support the transition from external agency reliance to an in-house centre of excellence for marketing analytics

Requirements:

• Proven experience in marketing analytics, marketing science or data science
• Hands-on MMM development and marketing effectiveness expertise
• Strong statistical modelling and advanced analytics capability
• Exceptional stakeholder management and influencing skills
• Commercial mindset with the confidence to challenge marketing spend and strategy
• Experience working in multi-channel, data-rich marketing environments

Location: London (hybrid)