Flexible - 2 days a month onsite (London)

£55,000-£60,000

A leading insurer is seeking a Senior Pricing Analyst to join its Technical Pricing Analyst. This is a hands-on role focused on building sophisticated pricing models that directly support profitability, growth, and competitive positioning.

You’ll work in a technically strong environment with excellent learning opportunities and clear career development.

The Role:

As a Senior Pricing Analyst, you’ll contribute to the development and enhancement of advanced technical pricing models and strategies.

Key responsibilities include:

• Developing and improving pricing models using GLMs and GBMs
• Designing modelling plans, preparing data, and building models
• Back-testing models and analysing pricing impacts
• Supporting pricing structures and strategies to drive growth and profitability
• Planning and managing your own projects with clear stakeholder communication
• Contributing to innovation through new data sources and advanced techniques
• Sharing knowledge and best practices across the pricing team

About You:

You don’t need to tick every box, but you’ll be well-suited if you have:

• Strong experience with GLMs and exposure to GBMs
• Experience working with large data sets
• Good coding capability (Python, SQL, SAS, Databricks or similar)
• Advanced Excel skills
• Experience with WTW Radar and Emblem
• A solid understanding of technical pricing components
• Strong communication skills and the ability to explain technical concepts clearly
• Confidence building relationships across pricing and wider business teams

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Redditch, UK

12 months +

Work Experience

• Bachelors or Masters degree in Computer Science ./Industrial Engineering
• Experience: Minimum 37 years of relevant experience in supply chain simulation, industrial engineering, or discrete event simulation.
• Simulation Software/ Tools : Proficiency in specialized software such as FlexSim, AnyLogic, .ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
• Programming: Strong scripting skills (Python, R) for data analysis and automating simulation tasks.
• Programming Languages: Proficiency in Python (scientific computing), C++ (high-performance tasks), and MATLAB/R for data analysis and mathematical modeling.
• Domain Knowledge: Solid understanding of warehousing automation technologies (AGVs, sorters, AS/RS).
• WMS Knowledge: Familiarity with WMS systems.
• Simulation Tools: Experience with industry-specific software such as ANSYS (FEA/CFD), MATLAB/Simulink (dynamic systems), COMSOL, or AnyLogic.
• Experience with CAD tools (e.g., AutoCAD) for layout creation.

Job Requirements

• The Simulation Engineer will develop, validate, and analyze discrete-event simulation models of warehouse facilities, incorporating automation, conveyors, and WMS software. The goal is to identify bottlenecks, improve efficiency, and validate operational scenarios before implementation.
• Modeling & Simulation: Design and build 3D simulation models of distribution centers and warehouse logistics using software like FlexSim, Simio, or AnyLogic.
• Data Analysis & Validation: Analyze operational data (e.g., order profiles, inventory levels, stock audit ) to validate simulation models, ensuring they accurately represent real-world operations.
• Process Optimization: Conduct experiments to identify bottlenecks, test “what-if” scenarios, and optimize resource requirements (staffing, automated equipment).
• WMS Integration: Simulate interactions between physical equipment (AGVs, ASRS, conveyors) and warehouse software systems (e.g., SAP EWM, Manhattan Associates).
• Documentation & Reporting: Create detailed technical reports and visualizations (Tableau, R) to present findings to stakeholders and support data-driven decision-making.
• Cross-Functional Collaboration: Collaborate with engineering and operations teams to integrate simulation results into final warehouse designs.

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

Contract: Permanent

Location: Sheffield - Onsite 3 days per week

Salary: £65,000 - £75,000

Work Style: Hybrid

Overview

We are seeking an AI Product Analyst to join a consultancy supporting a global financial services organisation on its enterprise-wide AI strategy and governance journey.

You will play a key role in driving business analysis, lifecycle management, and product support for AI use cases across global business and functional teams. Working at the intersection of strategy, governance, and technology, you will help ensure AI initiatives are delivered efficiently, responsibly, and in alignment with group standards.

• Experience within Financial Services is highly beneficial.
• Onsite presence in Sheffield is required three days per week.

Responsibilities

• Drive business analysis and requirements gathering by engaging with senior stakeholders, translating business needs into clear, actionable deliverables for AI.
• Apply data modelling expertise to optimise the AI use case lifecycle, identifying opportunities to streamline processes, improve efficiency, and accelerate time-to-market while maintaining strong governance and risk controls
• Lead project management activities using both Agile and Waterfall methodologies, creating detailed project plans, coordinating cross-functional teams, and tracking progress to ensure timely delivery of milestones
• Present technical solutions and recommendations to stakeholders, clearly articulating business value and impact, and facilitating acceptance testing to validate successful implementation
• Champion customer success by proactively resolving product and process queries, ensuring a seamless user experience and continuously incorporating feedback to enhance the product
• Collaborate with AI, data, risk, and governance teams to ensure alignment with responsible-AI principles and regulatory expectations
• Support documentation, reporting, and ongoing optimisation of AI lifecycle processes

Required Experience

• Strong business analysis and requirements gathering experience within complex, enterprise environments
• Experience with data modelling and lifecycle or process optimisation
• Proven project management capability across Agile and Waterfall delivery models
• Experience presenting technical solutions to both technical and non-technical stakeholders
• Understanding of AI/ML technologies and the AI development lifecycle
• Hands-on experience with tools such as Jira for tracking delivery and requirements
• Strong stakeholder management skills across cross-functional teams
• Experience supporting acceptance testing and structured delivery governance

Desirable

• Experience working within Financial Services or other regulated industries
• Exposure to Responsible AI, AI governance, or model risk frameworks
• Experience supporting enterprise product or platform implementations

Please apply today!

Machine Learning Developer (Contract)

Based - Warwick

Rate: £500-£600 per day

I am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick. This is a high-impact role for someone passionate about building and deploying production-ready ML solutions in a cutting-edge energy environment.

About the Role

Siemens Energy is driving the energy transition through innovative technologies and sustainable solutions. They are looking for a skilled ML developer to design, implement, and deploy end-to-end machine learning solutions that directly impact operational and product systems.

As the successful candidate, you will:

• Develop, train, and optimize ML models for real-world applications.
• Prepare, transform, and validate complex datasets to ensure model reliability.
• Apply best practices in model evaluation, mitigating data leakage, and managing the bias/variance trade-off.
• Deploy and monitor models using MLOps approaches (Docker, CI/CD, cloud platforms like AWS/Azure/GCP).
• Collaborate closely with engineering and product teams to integrate ML solutions seamlessly into production.
• Work with modern ML frameworks and libraries such as PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Write modular, production-grade Python code and maintain proper version control with Git.

Required Experience & Skills

• 5+ years of experience designing and implementing production-ready ML solutions.
• Strong expertise in ML algorithms, model development, training, validation, and optimization.
• Proven experience deploying and maintaining production ML models.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Demonstrated ability to work with complex real-world datasets and perform feature engineering.
• Familiarity with modern ML frameworks and libraries, including PyTorch, TensorFlow, HuggingFace, and LLMs/SLMs.
• Excellent problem-solving skills and ability to work cross-functionally with engineering and product teams.

This is an exciting opportunity to work with Siemens Energy on impactful projects in a collaborative, forward-looking environment.

£150,000 GBP

• performance bonus + internal fund investment
  Onsite WORKING
  Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist. They are aiming to launch next year and are currently hiring in Miami, London and Milan.

Description

– Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets.

– Required: experience training ML models end to end (from data processing to fine tuning), experience training across transformers / generative models / RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions / industry experiences.

– Positives but not requirement: PhD.

Reference: AMC/AHU/NW/SPH001

#alhu

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

Remote- UK 6-month contract with Potential Extension Day rate - £427.68 - £565 per day Inside IR35 Data Scientist (NLP & LLM Specialist) Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers. The Opportunity In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets. Your Impact Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes. Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment. Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data. Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions. Your Experience Experience Level: 5-7+ years (More experience is welcomed). Core Technicals: High expertise in Python and Machine Learning (ML). NLP Expertise: 3-5 years of experience in Natural Language Processing. AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch. Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting. Industry Knowledge: Experience with Risk Modeling or financial services is preferred.This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk Randstad Technologies is acting as an Employment Business in relation to this vacancy

Junior Data Scientist Stealth AI Fintech Startup | London | Hybrid (3 days on-site) We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows. We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks. The Role We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows. This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation What You’ll Be Doing * Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems) * Cleaning and structuring complex, real-world datasets * Building and deploying production-grade ML/AI services * Contributing to evaluation, monitoring, and model performance improvements * Researching and implementing emerging AI approaches where they create practical value What We’re Looking For * BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM * Strong Python skills * Experience with PyTorch, TensorFlow, or JAX * Practical experience applying LLMs to real problems * Broader ML exposure (e.g. tree-based models, deep learning fundamentals) * Familiarity with vector databases and RAG pipelines] * Experience deploying models via APIs (e.g. FastAPI) * Solid understanding of GCP and containerised environments (Docker) * High ownership mindset; you prototype, test, and improve independently * Right to work in the UK (no sponsorship) Nice to Have * Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT) * Fine-tuning or structured model evaluation experience * Understanding of transformers and embeddings * Exposure to financial data or fintech systems * Contribution or Interest in open-source or research side projects Why Join * Build applied AI in a high-value, complex domain * Ship quickly in a well-funded early-stage startup * Work directly with an experienced CTO * Gain real ownership and technical depth early in your career * Join at an inflection point as the product scales

In short: A high-growth fintech is looking to bring on a Senior AI Engineer to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do - Build and ship scam risk models and signals (typology classification, risk scoring, decision logic) - Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence - Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows - Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning - Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies - Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows - Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves: - Strong experience shipping applied ML into production (not just experimentation) - Strong Python + ability to write maintainable, tested code - Strong SQL + comfort working directly with messy, high-volume data - Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift - Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves: - Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains - Familiarity with graph/network features and entity resolution style problems - Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) - Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers - Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join - Work on a mission with real-world impact: stopping scams before money leaves - Build real-time, bank-grade ML systems with ownership end-to-end - Early team + high autonomy + meaningful technical decisions

In short: A high-growth fintech is looking to bring on a Senior Data Scientist to build and ship production-grade scam intelligence that runs before payments clear. You’ll turn multi-source signals (transaction context, counterparty intelligence, behavioural patterns, unstructured evidence) into reliable, explainable risk decisions - under real-world constraints like latency, uptime, and auditability. About the company: The company is building a payment intelligence layer for banks - running real-time “investigations” on payments to provide rich context on the counterparty and situation. The goal: intercept scams while ensuring genuine payments flow smoothly. They’re early-stage, moving fast, and working on problems where correctness, security and reliability are non-negotiable. Who we’re looking for You’re a hands-on ML/AI builder who’s comfortable owning the full loop: data → modelling → deployment → monitoring → iteration. You care about practical decisioning (not just metrics), you’re thoughtful about trade-offs (customer experience vs protection), and you’re excited about building systems that are explainable and bank-grade. What you’ll do - Build and ship scam risk models and signals (typology classification, risk scoring, decision logic) - Engineer features across heterogeneous data: transaction context, behavioural sequences, counterparty signals, network/graph patterns, and unstructured evidence - Design calibrated outputs (scores + reason codes) that are actionable and explainable for banking workflows - Own evaluation end-to-end: leakage avoidance, cost-sensitive metrics, thresholding, phased rollouts, and post-incident learning - Productionise ML: packaging, deployment, monitoring, drift detection, and retraining strategies - Collaborate closely with backend/product teams to integrate intelligence into real-time payment flows - Work alongside agent/LLM workflows for evidence gathering and synthesis, while keeping the decision core predictable and auditable Must-haves: - Strong experience shipping applied ML into production (not just experimentation) - Strong Python + ability to write maintainable, tested code - Strong SQL + comfort working directly with messy, high-volume data - Solid modelling judgement: calibration, leakage, bias, thresholding, cost trade-offs, monitoring/drift - Experience building decisioning systems where reliability, latency, and explainability matter Nice-to-haves: - Experience in fraud/scams, payments, risk, trust & safety, AML, or adjacent domains - Familiarity with graph/network features and entity resolution style problems - Experience with MLOps tooling (model registry/MLflow, feature stores, orchestration) - Comfort with cloud-native/event-driven systems and working closely with platform/backend engineers - Experience integrating unstructured signals (text/embeddings/RAG style pipelines) into decision systems Why join - Work on a mission with real-world impact: stopping scams before money leaves - Build real-time, bank-grade ML systems with ownership end-to-end - Early team + high autonomy + meaningful technical decisions - London hybrid working + visa sponsorship available

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation.

Key Responsibilities:

• Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives.
• Develop and maintain comprehensive product roadmaps and a target data product catalogue.
• Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives.
• Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation.
• Establish and embed a clear data product operating model and governance framework.
• Define KPIs and ROI measures to track performance, adoption, and commercial impact.
• Engage senior stakeholders, translating complex data and AI concepts into clear business value.
• Ensure regulatory compliance and high standards of data quality and integrity.

Key Requirements:

• Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role.
• Strong insurance domain knowledge across pricing, underwriting, claims, and risk.
• Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement.
• Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly.
• Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity.
• Strong executive level stakeholder management and communication skills.
• Strategic, structured thinker able to operate in ambiguity and drive clarity at pace.

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed).
Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply.
Follow us on LinkedIn IT Recruitment for more exciting opportunities.

Are you a Data Analyst ready to make your mark in a major data transformation project?

Join a leading telecommunications service provider based in Manchester as a Data Analyst and play a key role in building, managing, and maintaining a brand-new data warehouse. This full-time hybrid role (2 days in the office) offers you the opportunity to work across both back-end data processing and front-end analytics - helping shape the company’s data future from the ground up.

What will you be doing as a Data Analyst?
You’ll be at the heart of our data operations, turning raw information into valuable insights. From compiling and cleaning complex data sets to designing engaging dashboards, you’ll ensure our data tells a meaningful story. You’ll also be part of a major project to build a new data warehouse - bringing multiple data systems together - and will take responsibility for it’s upkeep once launched.

Key responsibilities include:

• Compiling, cleaning, and processing raw data from various sources
• Analysing and interpreting data trends to support business decisions
• Building interactive dashboards and reports using Power BI
• Liaising with clients, customers, and internal stakeholders
• Supporting the integration of multiple data systems into a central data warehouse
• Maintaining and optimising the data warehouse post-implementation

We would LOVE to hear from you if you have the following skills and experience:

If you’re a Data Analyst, Business Intelligence Analyst, Reporting Analyst, or Data Scientist, wed love to hear from you!

You’ll bring:

• A few years of experience in a data-driven role
• Strong knowledge of Power BI and Python (or C programming)
• Proven ability to work independently and manage your own workload
• Excellent analytical and problem-solving skills
• Desirable: academic background in Mathematics, Statistics, Data Analytics, Data Science, or Marketing Analytics

What will you get in return for your work as a Data Analyst?

• Salary up to 40,000 per annum
• Hybrid working - 2 days in the Manchester office, 3 days from home
• Opportunity to shape a major data warehouse project
• A collaborative team environment within an innovative telecom provider
• Ongoing career development and training opportunities

Apply now by sending your CV. We aim to respond to all successful applications within 2 days. If you haven’t been contacted within 2 days your application has been unsuccessful. Please check our website and apply directly for any other suitable positions you see. We apologise that we are unable to contact everyone in person and thank you for your interest. Jobwise Ltd is an employment agency and the details sent in your application may be stored on our secure database.

Role: Senior Data Scientist

Location: Manchester, UK / Leeds, UK

Role Overview

As the client analytics team evolves, we are looking to onboard commercially savvy, independent Data Scientists to support and accelerate a predefined analytics backlog. The role requires strong technical capability, commercial acumen, and the ability to operate autonomously while driving measurable business impact.-defined analytics backlog. The role requires strong technical capability, commercial acumen, and the ability to operate autonomously while driving measurable business impact.

The Analyst/Data Scientist will design and deliver analytical solutions that help grow wallet share, increase market share, and improve customer engagement. They will also lead the creation of self-serve reporting and dashboards that enable stakeholders to track performance and key drivers.-serve reporting and dashboards that enable stakeholders to track performance and key drivers.

Key Responsibilities

• Develop insights and recommendations to increase wallet spend across key customer segments.
• Design and deliver initiatives aimed at growing market share, including tracking performance and conducting root cause analysis.-cause analysis.
• Build a self-serve dashboard to monitor market share, performance KPIs, and related contributing factors.-serve dashboard
• Own end to end delivery of analysis with minimal oversight-problem structuring, data extraction, modelling, and presentation.-to-end delivery of analysis with minimal oversight-problem structuring, data extraction, modelling, and presentation.
• Conduct data mining, manipulation, and validation using robust reconciliation practices.
• Identify and select relevant data points required for accurate and meaningful analysis.
• Build customer segmentations/profiles to inform commercial strategies and product decisions.
• Perform conversion and funnel analysis to understand customer behaviour and optimize interventions.
• Create business ready visualizations and structured reporting for senior stakeholders.-ready visualisations and structured reporting for senior stakeholders.
• Automate repetitive tasks, streamline data workflows, and improve analytical efficiency.
• Design and evaluate marketing campaign structures-targeting, proposition, test design, measurement based on statistical significance.
• Present insights confidently and manage stakeholder expectations through clear, proactive communication.
• Deliver high quality outputs at pace with minimal rework.-quality outputs at pace with minimal rework.

Skills & Experience Required

Technical & Analytical Skills

• Strong data mining, wrangling, and manipulation experience (SQL, Python, or equivalent).
• High competence in validation checks, reconciliations, and data quality assurance.
• Advanced data visualization capability (Power BI, Tableau, or similar).
• Experience building dashboards and business reporting tools.
• Familiarity with optimization and automation techniques in analytics workflows.

Commercial & Domain Experience

• Debit payments or current account experience within UK Financial Services (desired).
• Understanding of banking profitability, product economics, and business case modelling.
• Background in customer profiling, segmentation, and behavioral analytics.
• Experience designing and evaluating commercial or marketing campaigns.
• Strong understanding of conversion metrics and commercial performance levers.

Behavioral Competencies

• Highly independent and proactive, able to manage workload and prioritization autonomously.
• Strong communication and presentation skills with the ability to influence stakeholders.
• Delivers consistently to a high standard with minimal rework.
• Comfortable working in a fast paced, outcomes driven environment.-paced, outcomes-driven environment.

Data and AI Lead - Hybrid role (nr Reading UK) - Permanent - £75-80K base An exciting opportunity with a SaaS vendor who are the market lead in their sector. They're building a greenfield new product alongside their existing product suite. Stage One is to surface the existing customer data they have and create commercial value from it; from there they plan to build AI and ML solutions to transform their customers' experience and value, and increase the speed and scope of the core product. In this newly created role, you'll be at the heart of that effort. You'll work with stakeholders to understand their business needs and propose solutions, and use your technical capability to put together proofs of concept and find the value in the data. From a technical point of view they're looking for Python, SQL, DataBricks/Snowflake - but tooling isn't really the issue at hand. Your ability to be a "translator" and convert commercial opportunity into data solution and vice versa that's the key. The role is based near Reading and you'll need to be in the office a day or two a week. It's a permanent opportunity paying around £75-80K base For more details please contact Justin Sleep with a copy of your resume.

Role: AI Developer

Location: London - up to 3 days per week on-site

Duration: 3 Months

Day rate: 540 - 585 Umbrella Only

Minimum of 5 years UK residency required

Role Description:

We’re looking for an experience AI developer with the skills below. They’ll be building out our client’s AI needs and wants using a Microsoft Azure and Copilot stack.

Essential skills and experience

• Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio.
• Apply governance frameworks for AI/ML models.
• Python knowledge to automate processes
• Large datasets experience, including data preprocessing, feature engineering, and model evaluation.
• Agile development of AI solution from concept to deployment to continuous improvement.
• Create and maintain technical documentation
• Communicate complex concepts to all stakeholders.
• At least 3 years of experience in AI solution engineering.
• Large Language Models experience including prompt engineering and RAG implementations.
• Expert data analytics, MLOps practices and API development.
• Desirable knowledge in Docker and Kubernetes

Data Analyst Renewable Energy & Asset Optimisation

Noriker Power develops and optimises rapid response power systems. Through innovation and a strong motivation to protect the environment, Noriker has grown into a vertically integrated developer and service provider in this increasingly important market.

We are looking for a Data Analyst with a strong foundation in Mathematics or Physics to help us optimise the performance of our renewable energy portfolio. As we scale our BESS assets, we need a practical analyst who can distil domain data into commercial results.

Key Responsibilities

• Use mathematical frameworks to predict supply depth and market pricing, identifying market opportunities
• Model optimal usage of battery assets using linear programming taking into account opportunity cost and physical characteristics of the asset
• Model GB electricity system to create forward view of system constraints
• Understand and model dynamics of all markets BESS participate in, including wholesale electricity, Balancing Services, Balancing Mechanism etc, to create optimised strategies for assets
• Implement progressively deeper levels of optimisation taking into account real time performance, utilisation and machine state parameters

Requirements

• A degree in Physics, Mathematics, Theoretical Physics, or a related field where you have spent time modelling physical systems in an UK university
• Experience in Statistical Significance and Time-Series Analysis
• Ability to handle Vector Calculus or Linear Algebra
• A “First Principles” approach to solving problems
• Python (specifically libraries like NumPy, SciPy, and Pandas)
• SQL or similar for managing large-scale time-series datasets
• Familiarity with SCADA systems is a bonus
• Understanding of the UK/EU Energy Market (e.g., Balancing Mechanism, Ancillary Services) is desirable
• Must have permanent right to work in the UK without sponsorship.

Why Join Noriker Power?

• Solve Real Problems: Your analysis doesn’t just increase clicks; it directly speeds up the global transition to Net Zero.
• Intellectual Rigour: Work in an environment where your academic background is respected and utilised daily.
• Career Progression: work across a wide variety of disciplines with plentiful opportunities

400 per day - inside IR35

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.

Data Scientist (NLP & LLM Specialist)Remote- UK6-month contract with Potential ExtensionDay rate - 427.68 - 565 per day Inside IR35

Data Scientist (NLP & LLM Specialist)

Are you an expert in Natural Language Processing who thrives on building scalable, real-world AI solutions? We are seeking a hands-on Data Scientist to join a premier global credit ratings and financial information firm. You will be a key player in launching a brand-new, from-scratch analytics platform designed for elite institutional clients including corporate banks and asset managers.

The Opportunity

In this role, you will go beyond conventional boundaries to design, build, and deploy quantitative models that power advanced insights. You will collaborate with a cross-domain team of economists, political scientists, and developers to transform proprietary risk data into actionable strategic assets.

Your Impact

• Model Innovation: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data generation processes.
• Pipeline Development: Develop and maintain robust ML and data pipelines for experimentation and deployment.
• Insight Extraction: Prototype and test new approaches for extracting insights from structured and unstructured data.
• Technical Translation: Explain ML/NLP model outputs and methodologies to non-technical stakeholders to drive strategic decisions.

Your Experience

• Experience Level: 5-7+ years (More experience is welcomed).
• Core Technicals: High expertise in Python and Machine Learning (ML).
• NLP Expertise: 3-5 years of experience in Natural Language Processing.
• AI Knowledge: Familiarity with LangChain and LlamaIndex. The role involves using Large Language Models (LLMs) to build data models rather than building LLMs from scratch.
• Deployment: Must understand the deployment process and CI/CD practices to troubleshoot, though a dedicated engineering team handles the heavy lifting.
• Industry Knowledge: Experience with Risk Modeling or financial services is preferred.

This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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.