Job Title: Senior Data Analyst

Salary: £41,134.60 per annum

Hours: Full Time, 36 hours per week

Status: Permanent

Location: Home based – with expectation of travel where required

Closing Date: 11.59pm on Sunday 15 March 2026.

Interview Date: Week commencing 30 March 2026.

Skills for Care is the strategic workforce development and planning body for adult social care in England. We work with employers, Government and partners to ensure social care has the right people, skills and support required to deliver the highest quality care and support now and in the future.

Find out more by taking a look at www.skillsforcare.org.uk.

Internally we call this role Workforce Intelligence Analyst. The above job title is being used for external advertising purposes.

Working in the Analysis team within Skills for Care’s Workforce Intelligence unit, you will analyse and report on data held within the Adult Social Care Workforce Data set (ASC-WDS). The ASC-WDS is funded by the Department of Health and Social Care and is the major data collection on the adult social care workforce. It collects data about care-providing establishments as well as data about individual workers in this large and growing employment sector.

We are hiring for a new analyst to join the Analysis team. We work on a diverse range of projects and use a variety of software; you do not need to be an expert in all areas to begin with. Training will be provided, however experience of these software or similar are required along with strong analytical skills.

Analyst work will involve using a combination of Microsoft excel and statistical packages (such as SPSS) to analyse datasets. Microsoft word for creating and reviewing written reports. Data visualisation tools (such as Tableau and Power BI) are also used to provide insights for internal and external stakeholders.

Leading on analysis, data visualisation and report writing projects, you will work in an Agile project environment contributing to delivery, planning and new innovations within the team. Strong interpersonal skills are required to operate effectively within the team and with a variety of partners and clients.

You will be part of a team that provides vital information that is used by central government for policy shaping and at a local level by decision makers and workforce planners. You will take a lead role in the delivery of analysis, data visualisation and report writing projects within the Workforce Intelligence team.

If you are interested in this role, please access the full job description for further information and we look forward to receiving your application.

At Skills for Care, we are committed to creating a culture of Belonging, where all of our People are able to contribute to their full potential. All our People are expected to contribute towards the achievement of our aspirations for equality, equity, diversity and inclusion. To find out more please check our website (https://www.skillsforcare.org.uk/About-us/Equality-diversity-and-inclusion/Equality-diversity-and-inclusion.aspx).

At Skills for Care, we want our People to be representative of the society we support, this includes all equality characteristics such as age, ethnicity, disability, sexual orientation, gender reassignment, religion or belief. This lived experience from a diverse group of people helps us with all the work that we do and ultimately supports the social care sector to provide the best quality care. We encourage applications from, but not limited to, people from minoritised ethnic backgrounds, people who identify as LGBTQ+ and people with disabilities.

Candidates will always be selected based on experience and potential.

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Information about reasonable adjustments

We want all applicants to be able to fully participate in our selection processes. We welcome requests for adjustments to our recruitment and selection processes from applicants with disabilities, impairments, or health conditions, and will always consider support available in the recruitment process.

Please contact our People Team via email () to discuss any adjustments that you may need.

Trainee Data Analyst - No Experience Needed

Build a future-proof career in Data & AI - starting today.

Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it.

Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you’re ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst.

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Please note this is a training course and fees apply.

Job guaranteed - complete the programme and get a job or get your money back.

Our graduates earn £30,000-£65,000+.

Why Data?

Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy.

Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analyst - £60,000
• Data Scientist - £65,000+

If you’re detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you.

How It Works

Step 1 - Data Administration & Core Tools

Build essential, job-ready skills with practical training in:

• Microsoft Excel (to expert level)
• SQL - Extracting and querying data from databases
• Python 3 - One of the most widely used languages in data analysis
• Tableau - Creating dashboards and data visualisations

Study time: Approximately 30-60 hours

Assessment: Course completion (no formal exam)

You’ll gain hands-on experience using the same tools employers expect Data Analysts to know.

Step 2 - CompTIA Data+ Qualification

Earn the internationally recognised CompTIA Data+ certification.

This qualification covers:

• Data mining
• Data manipulation
• Data visualisation
• Reporting and interpretation

Study time: 30 hours

Assessment: 1-hour professional exam

You’ll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam.

Step 3 - Business Analysis Foundation (BCS Accredited)

Data Analysts and Business Analysts work closely together - and many professionals move between both roles.

You’ll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT).

Study time: 15 hours

Assessment: Online exam

This increases your employability and broadens your career options.

Step 4 - Recruitment Support

Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role.

You’ll receive:

• Full CV review tailored to your new qualifications
• Job application support
• Mock interviews
• Ongoing career guidance
• Access to roles suited to your profile

Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities.

Ready to Start?

If you’re analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we’ll help you take that first step.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Data Analyst - £67,500
• Data Analytics Analyst - £80,000
• Business Analysts - £60,000

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Job Title: Senior Clean Water Modeller

Salary: £55,000 - £65,000/year

Location: Fully remote

Contract Type: Permanent, Full Time

Hours: 37

About the role

We are looking for an experienced Senior Clean Water Modeller with expertise in InfoWorks WS Pro to support the development and application of clean water distribution models. You will play a key role in strategic planning, operational optimisation, leakage reduction and regulatory compliance across potable water networks.

What you will be responsible for:

• Lead the development, maintenance and calibration of clean water hydraulic models using InfoWorks WS Pro.
• Validate models against telemetry, logger and flow/pressure test data.
• Conduct scenario modelling to assess network performance under normal and stress conditions.
• Support operational teams with real-time and predictive modelling for pressure management and resilience.
• Provide modelling for investment planning, including mains reinforcement, DMA creation and growth impact.
• Simulate water quality parameters such as water age, chlorine decay and booster performance.
• Mentor junior modellers and contribute to modelling standards, QA/QC and workflow automation (Python, SQL).
• Prepare and present reports and visualisations for internal and external stakeholders.

What youll bring to the role:

Essential:

• Understanding of water and wastewater engineering within the UK Water Industry.
• Degree (MEng/BEng/BSc) or HNC in Engineering, Environmental Science or related field.

AI Prompt Engineer - 12 Month Contract - Outside IR35

Role Description:

Harvey Nash’s Pub Sec client are seeking an AI Prompt Engineer to design, develop, and optimise prompt-based solutions for AI systems.

This role will design and optimise AI prompts for extracting data from forms, fine-tune models for accuracy, automate end-to-end workflows, and manage production deployments. The ideal candidate will ensure robust, scalable, and secure AI solutions that streamline document processing

The initial focus of the role will look at building on exiting solution to extract structured data from various forms and documents. This role combines expertise in natural language processing (NLP), prompt engineering, and workflow automation to enable accurate and efficient data processing.

Key Responsibilities:

• Prompt Design & Optimisation:

• Develop and refine AI prompts to accurately extract data fields from structured and semi-structured forms.

• Test and iterate prompts for different document types and languages to maximize accuracy and reliability.

• Ensure prompt development is reusable and scalable across different use case scenarios

• Work closely with developers, data scientists, and business analysts to align solutions with business needs.

• Fine-tune AI models to improve performance across diverse document types and languages.

• Workflow Automation

• Develop automated pipelines for document ingestion, data extraction, and validation.

• Integrate AI solutions with OCR tools and enterprise systems for seamless processing.

• Deployment & Support

• Manage deployment of AI solutions into production environments.

• Monitor system performance, troubleshoot issues, and provide ongoing support.

• AI Model Integration*:

• Collaborate with data scientists and developers to integrate prompt-based solutions into existing AI/ML pipelines.

• Ensure compatibility with OCR tools and document processing systems.

• Data Quality & Validation:

• Implement validation logic to ensure extracted data meets quality standards.

• Work with QA teams to identify and resolve extraction errors.

• Research & Innovation:

• Stay updated on advancements in prompt engineering, LLMs, and document AI technologies.

• Experiment with new techniques for improving extraction performance and reducing manual intervention.

• Collaboration & Documentation:

• Partner with business analysts to understand form structures and data requirements.

• Document prompt strategies, workflows, and best practices for internal knowledge sharing.

• Document guidance to support deployment approach and ongoing support and maintenance activities

Required Skills & Qualifications

• Strong understanding of Large Language Models (LLMs) and prompt engineering principles.
• Experience with document AI, OCR technologies, and data extraction workflows.
• Proficiency in Python or similar languages for automation and integration tasks.
• Familiarity with APIs and cloud-based AI services (e.g., Azure OpenAI, AWS, Google AI).
• Excellent problem-solving skills and attention to detail.
• Background in NLP, machine learning, or data science.
• Experience with form processing systems in finance, healthcare, or enterprise environments.
• Knowledge of data privacy regulations and secure handling of sensitive information.
• Demonstrated success in delivery across both distributed and hybrid on-premises and cloud technology estates.
• Experience in managing both agile and waterfall projects.
• Excellent interpersonal skills, influencing and communication skills.
• Ability to apply a broad understanding of IT infrastructure and interdependencies to create effective, risk-minimising migration plans.
• The candidate will have an awareness of Digital First Service Standards, and Government Digital Services (GDS).

Are you ready to launch a career in Data Analytics and Business Intelligence? Netcom Training s fully-funded Data course (NCFE Certificate in Data, Level 3) equips you with the technical skills employers are actively seeking.

From data sourcing, cleansing, and analysis to visualisation and reporting, you ll gain hands-on experience that prepares you for today s fast-growing data-driven roles.

Our learners have successfully moved into roles such as Junior Data Analyst, Operations Analyst, Business Intelligence Assistant, Database Administrator, and Pricing Analyst, working across tech, finance, healthcare, and the public sector. Complete the course and gain a guaranteed interview with a leading employer, helping you kickstart your career.

Course Details

• Start Date: 16/03
• Duration: 10 weeks
• Days: Mon-Thu
• Times: 6-9pm
• Format: Online, practical workshops

What you ll learn

• Data Management: Understand how to source, gather, and store data securely.
• Data Cleansing: Learn to collate and format raw data for accurate processing.
• Analysis & Insight: Analyse datasets to support key business decisions and outcomes.
• Visualisation: Present and communicate insights clearly to stakeholders.
• Tools & Tech: Gain exposure to professional tools commonly used in the industry (e.g., Excel concepts, Reporting tools).
• Compliance: Understand secure data handling and GDPR principles.
• Collaboration: Practice continuous professional development in a team setting.

Career Pathway

Successful participants are guaranteed an interview with our network of UK-wide partners working with leading brands.

• Potential Roles: Junior Data Analyst, Reporting Assistant, Data Administrator, Business Analyst.

Starting Salaries: Typically £22,000 £28,000 (role dependent)

Eligibility

This is a government-funded opportunity. To apply, you must:

• Live in Greater Manchester (GMCA region).
• Be aged 19 or over.
• Have lived in the UK/EU for a minimum of 3 years.
• Earn below the gross annual wage cap.
• Prerequisites: Basic IT skills are required.

Job Title: Technical Pricing Manager

Location: A large potion of the team are based in Peterborough, however we are happy to have a largely remote working approach to this, with the occasional travel should you not be local.

Role purpose

We are looking for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches.

You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of advanced data science and statistical techniques to enhance pricing model accuracy and output.

Key Responsibilities

• End to end production of pricing models using a tailor-made pricing pipeline
• Use of Earnix to build predictive statistical models and intelligently optimise customer prices
• Contribute and implement improvements to the pricing process to increase pricing performance and efficiency
• Contribute and lead research and development opportunities to help innovate and improve current modelling and pricing methodologies
• Evaluate and utilise tools and data items created by the data science teams
• Ensure all activity is compliant with pricing governance and follows established controls
• Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business
• Manage, mentor and coach more junior members of the team

About you:

• Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject
• Experience in a pricing or actuarial role within general insurance
• Experience with price optimisation tools (Earnix/Radar)
• Experience using and implementing advanced machine learning methods
• Able to communicate complicated statistical concepts to an informed but non-technical audience
• Experience with using software packages such as R or Python to solve problems
• Proven ability to deliver commercial value through pricing insight
• Proven ability to provide commercial uplift from research and development projects
• Strong people management skills

Location: Remote with Adhoc travel to site (London or Birmingham) Contract Length: 6 Months Working Pattern: Full Time, via an Umbrella Company Are you ready to embark on an exciting journey to shape the future of AI? Our client is on the lookout for a talented AI Engineer to engineer enterprise-grade Generative AI agents. If you have a passion for innovation and a knack for problem-solving, this opportunity is for you! What We’re Looking For: Previous experience supporting the creation of Agentic AI Agents Expertise in Generative AI and LLM selection. Strong background in decision support and conversational AI. Familiarity with engineering prompts and agent patterns. Knowledge of cloud standards and privacy governance. Experience in monitoring, quality evaluation, and bias mitigation. A commitment to explainability and auditability. Passion for integrating human-in-the-loop controls.What You’ll Be Doing: As an AI Engineer, you will play a pivotal role in creating intelligent automation and conversational experiences by leveraging the power of large language models (LLMs) and orchestration frameworks. Your responsibilities will include: Designing Architecture: Define and own the architecture for enterprise-grade Generative AI and agent systems, ensuring alignment with cloud and organizational standards. Translating Business Needs: Convert business requirements into agent solutions, selecting the right agent patterns with clear success metrics and risk controls. Building GenAI Agents: Develop agents that seamlessly integrate LLMs with retrieval, tools, APIs, and structured reasoning for reliable and safe performance. Implementing RAG Solutions: Optimize Retrieval-Augmented Generation solutions, ensuring secure and permission-aware access to enterprise knowledge sources. Engineering Safety Measures: Create prompts and policies that enforce Responsible AI principles, focusing on bias mitigation, explainability, and human-in-the-loop controls. Ensuring Performance: Maintain the performance and resilience of GenAI systems through optimization and robust fallback strategies. Embedding Governance: Design with security, privacy, and governance in mind to support compliance and enterprise risk management. Integrating Agents: Collaborate with platform teams to build reusable components and deliver scalable, production-ready AI capabilities. Troubleshooting and Innovation: Act as a senior subject matter expert to resolve issues, lead investigations, and drive experimentation with emerging models and tools. Influencing Stakeholders: Engage with key stakeholders to articulate trade-offs and strategic decisions effectively.Why Join Us? This is a fantastic opportunity to work in a dynamic environment where your skills will be valued, and your contributions will make a real impact. You’ll be part of a forward-thinking team that is committed to pushing the boundaries of AI technology! Ready to Make a Difference? If you’re excited about this opportunity and believe you have the skills to excel, we want to hear from you! Apply today and take the next step in your career with us. Let’s innovate together! We can’t wait to meet 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

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back. “Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Data Scientist: Country Risk & Advanced Analytics Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations. How You’ll Make an Impact: Innovate: Prototype new approaches for extracting insights from structured and unstructured data. Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data. Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs. Deploy: Develop and maintain robust ML pipelines for both experimentation and production.Who You Are: Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data. NLP Specialist: You have a proven track record of developing and refining NLP models. Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease. Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to saisaranya.gummadi @ Randstad Technologies is acting as an Employment Business in relation to this vacancy

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

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

Your new company Working for a globally renowned consultancy (end client is a public sector organisation). Your new role We are offering an exciting opportunity for a Data Scientist to join our expanding AI delivery team. In this role, you will work hands-on as an AI engineer, data scientist, and developer, contributing to the design and delivery of strategic AI initiatives. You’ll help build intelligent solutions, automate processes, and apply modern AI technologies to real business challenges within a public sector environment. What you’ll need to succeed Must have lived in the UK for a minimum of 5 years (essential for security clearance checks). Experience with key AI platforms and tools, including: Microsoft Copilot / Copilot Studio Experience configuring or building AI-driven workflows, copilots, or automation solutions. Familiarity with prompt design, data integration, and governance within the Microsoft ecosystem is beneficial. AWS Bedrock Hands-on experience using Bedrock to access and apply foundation models for tasks such as text generation, summarisation, classification, or search. Understanding how to integrate Bedrock models into wider AWS services is advantageous. IBM ICA (Intelligent Content Analysis) - Desirable Useful experience with document understanding, processing unstructured data, and rule‑based or AI‑assisted content analysis. What you’ll get in return Flexible working options available. 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. 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)

Ready to start your career as a Data Analyst?

The demand for skilled data professionals in the UK is booming - and organisations are searching for people who can turn raw data into meaningful insight. If you’re looking for a career with purpose and strong growth, our Data Analyst Career Programme is built for you, with a job guarantee on completion.

Why this programme matters

We focus on equipping you with both the tools and the real-world experience you need to hit the ground running. With industry-recognised certifications, live instruction and project work you’ll be ready for business challenges from day one.

What you’ll get:

• Seven training modules, covering Excel, SQL, Python, Tableau, Power BI and more.
• Three official certifications: Microsoft Azure Data Fundamentals, Microsoft Power BI Data Analyst Associate and Microsoft Azure AI Fundamentals.
• Real-world project work to enhance your CV and show our end employers you can deliver.
• Job guarantee: If you complete the programme and don’t receive a job offer, we’ll refund 100% of your course fee.

Your investment:

• Course cost: £2,795
• Payment plan: From £232.91 per month (interest-free)

No prior tech-job experience? No problem.

You don’t need to come from a data background. If you bring curiosity, communication skills, and a willingness to learn, this programme will equip you for a transition into a demanding and rewarding role.

Take the next step now.

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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.

Your new company
One of the large Public Sector Organisations in the UK
Your new role
Data Modeller - Excel Calculator
What you’ll need to succeed
My client is looking for a Data Modeller to support across a 4-week period before the end of the Financial Year - the role will entail developing two user-friendly Excel-based calculators:

• Excel calculator development
• Develop two user-friendly, Excel-based calculators for quantifying the nutrient reductions (in nitrogen and phosphorus) generated by:
• Land Use Change - the conversion of land from uses associated with high nutrient exports (intensive agriculture) to uses associated with low nutrient exports (semi-natural greenspace).
• Septic tank and PTP Upgrades - upgrading inefficient septic tanks or PTPs to more efficient PTP models. Natural England will provide a draft version of this calculator to be updated.
• Use input datasets that have been provided by Natural England. These will include nutrient export coefficients derived from Farmscoper, soil type, and rainfall.
• Provide precautionary nutrient reduction estimates (in kg of total nitrogen and total phosphorus/ha/year) based on a methodology specified by Natural England.
• Ensure the calculators enable changes to input datasets that can be administered by Natural England in the future.
• Written technical methodology
• Document the methodology for calculating the nutrient reductions generated by the two measures in a format that ensures reproducibility by Natural England.
• Detail all assumptions, limitations, and uncertainties.
• User instructions
• Write a set of clear user instructions to accompany each calculator that:
• Provide step-by-step guidance for the user to input site-specific information.
• Explain technical terms in plain, accessible language.
• Follow Natural England’s accessibility requirements.

By the end of the four-week period, the Data Analyst will provide:

• One calculator for quantifying the nutrient reductions generated by land use change.
• One updated calculator for quantifying the nutrient reductions generated by septic tank and PTP upgrades.
• Each calculator will be accompanied by:
• Clear, step-by-step user instructions that meet Natural England’s accessibility standards.
• Technical methodology to ensure reproducibility by Natural England. Including assumptions, uncertainties, and limitations.

What you’ll get in return
This is a 4-week remote engagement for someone to set up Excel Calculators, aiding the new FY.
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)

Dta Scientist, AI, Python, LLM, React, UK, Remote to £80,000

A growing Data Analytics outfit are looking for a Data Scientist as they look to build robust platforms to deliver AI Data insights. They are looking for a Data Scientist who has experience with data heavy products, data science, AI and statistical modelling. You will also have some full stack capability in React or Nod or similar. The successful Data Scientist will be able to lead the engineering direction as they look to grow their team rapidly over the next 12 months.

Skills and Responsibilities

• Has strong technical depth and can think on their feet when solving complex problems

• Has experience with data-heavy products, charts/visualisations, and reporting

• Brings some background in data science or statistical modelling

• Is highly flexible, entrepreneurial, and excited by a big challenge

• Can eventually lead the engineering direction of the product as we grow

• Has interest or experience in AI/LLMs, training models, and applied ML

• Strong full-stack capability (React, Node.js or similar)

• Experience with data-heavy systems, charting libraries, reporting frameworks

• Strong exposure to data engineering or data science principles

• Understanding of LLMs, model integration, prompt engineering, or model training pipelines

• Ability to design and scale real-time data products

• Comfortable in a fast-moving startup environment, taking ownership and initiative

Candidates with experience at research/analytics companies or AI-driven SaaS platforms tend to be a good fit

Data Engineer for a Global consultancy. Various clients.

Please only apply if you have the ability to be security cleared (5+ years in the UK)

Role - Data Engineer
Type - Perm
Location - Remote - Occasional office visit in the UK
Salary - £60,000 + benefits

Role
* This role sits at the intersection of data engineering and consulting, supporting clients in designing, building, and optimising modern data platforms. You’ll work across the full data life cycle, from ingestion and transformation to modelling and delivery, with a strong focus on Azure and Databricks. The ideal candidate combines hands on technical capability with the confidence to engage directly with clients and guide them through data driven solutions.

Key Responsibilities
* Design, build, and maintain scalable data pipelines using Azure and Databricks.
* Develop robust ETL/ELT processes to support analytics, reporting, and AI/ML workloads.
* Implement data models, transformation logic, and quality frameworks across the data life cycle.
* Write clean, maintainable Python code for data engineering and automation tasks.
* Work with Delta Lake and modern lakehouse patterns to optimise data storage and performance.
* Contribute to CI/CD and DataOps practices to improve deployment reliability and workflow efficiency.
* Collaborate with clients to understand requirements, propose solutions, and deliver technical outcomes.
* Support best practice data governance, documentation, and platform standards.

Required Skills & Experience
* Strong experience with Azure cloud services and Databricks.
* Solid understanding of the end to end data life cycle, from ingestion to consumption.
* Proficiency in Python for data engineering and automation.
* Hands on experience building ETL/ELT pipelines in production environments.
* 4-5 years working in data engineering, data consulting, or a similar technical role.

Nice to Have Skills
* Exposure to Microsoft Fabric.
* Experience with Delta Lake and lakehouse architectures.
* Familiarity with CI/CD, DataOps, or modern deployment pipelines.

Soft Skills
* Confident in client facing interactions, including workshops, requirements gathering, and solution walkthroughs.
* Consulting background is beneficial but not essential.
* Strong communication skills and the ability to translate technical concepts for non technical audiences.
* Proactive, adaptable, and comfortable working across varied client environments.

GCS is acting as an Employment Agency in relation to this vacancy.

Data Scientist for a Global consultancy. Varied clients.

Please only apply if you have the ability to be security cleared (5+ years in the UK)

Role - Data Scientist - AI / Agentic AI
Type - Perm
Location - Remote - Occasional office visit in the UK
Salary - 60,000

Role
The Data Scientist will join a growing analytics and AI function, contributing to the development of intelligent solutions that support business decision making and automation. This role is ideal for someone with solid Python skills, hands on exposure to AI or Agentic AI projects, and a strong grounding in machine learning fundamentals. You’ll work closely with internal teams and external clients, translating technical insights into clear, actionable outcomes.

Key Responsibilities
Build, train, and evaluate machine learning models to support a range of analytical and AI driven initiatives.
Contribute to the development of Agentic AI solutions, including workflow automation, reasoning systems, or LLM based tools.
Write clean, efficient Python code for data processing, modelling, and experimentation.
Extract, manipulate, and analyse data using SQL across structured data environments.
Support feature engineering, model optimisation, and validation activities.
Collaborate with cross functional teams to understand requirements and deliver insights.
Communicate findings clearly to technical and non technical stakeholders.
Participate in client facing discussions, demos, and solution walkthroughs.

Required Skills & Experience
Strong proficiency in Python for data science and machine learning.
Demonstrable experience working on AI or Agentic AI projects (critical requirement).
Solid understanding of machine learning fundamentals, including supervised and unsupervised techniques.
Good working knowledge of SQL for data extraction and analysis.
Approximately 5 years of hands on experience in data science or a closely related field.

Nice to Have Skills
Experience with Databricks for data engineering or ML workflows.
Familiarity with Azure ML, MLflow, or similar MLOps tooling.
Exposure to feature engineering best practices and model lifecycle management.

Soft Skills
Strong communication skills with the ability to explain complex concepts simply.
Comfortable in client facing environments, including presentations and requirement gathering sessions.
Proactive, curious, and eager to learn emerging AI technologies.

GCS is acting as an Employment Agency in relation to this vacancy.

Data Scientist: Country Risk & Advanced Analytics

Join an integrated team of economists, political scientists, and computer scientists to shape the strategic decisions of the world’s leading organizations.

How You’ll Make an Impact:

• Innovate: Prototype new approaches for extracting insights from structured and unstructured data.
• Build: Design and optimize risk models for analytics and generative AI applications using proprietary NLP data.
• Collaborate: Partner with cross-domain experts to turn non-technical ideas into scalable, interpretable research designs.
• Deploy: Develop and maintain robust ML pipelines for both experimentation and production.

Who You Are:

• Technical Expert: You have substantial experience with Python or R, and are skilled in querying and analyzing big data.
• NLP Specialist: You have a proven track record of developing and refining NLP models.
• Clear Communicator: You can explain complex ML/NLP methodologies to non-technical stakeholders with ease.
• Methodical: You are familiar with experiment tracking (DVC, Weights & Biases) and model evaluation metrics.

Stand Out From the Crowd: Candidates with an advanced degree in ML/NLP, exposure to cloud platforms (AWS, Databricks, Snowflake), or experience in agile, fast-paced environments are highly encouraged to apply or share your updated CV to removed)

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