Role- Data Scientist Location: London, UK Type of job : Contract Work mode : Hybrid- 2 days onsite in a week Responsibilities: \* Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. \* Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. \* Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision‑making. \* Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‑defined modelling tasks. \* Build end‑to‑end ML pipelines—from feature engineering and preprocessing to deployment‑ready model outputs. \* Apply advanced techniques such as NLP, time‑series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. \* Implement model evaluation frameworks using offline metrics, cross‑validation, online experiments, and human‑in‑the‑loop feedback loops. \* Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non‑technical stakeholders. \* Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. \* Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change. Essential skills: Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. \* Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB ) \* Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval \* Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP \* Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable ) \* Solid understanding of LLMs, prompt engineering, and graph-based workflows. \* Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc. \* Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies \* Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication \* Hands-on Experience with API Development and Microservices architecture Desirable experience: \* Strong experience applying machine learning, statistical modelling, and predictive analytics to real‑world business problems. \* Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations \* Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. \* Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine‑tuning. \* Experience building end‑to‑end ML pipelines, including model validation, optimisation, deployment, and monitoring. \* Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows. \* Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non‑technical audiences. \* Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles. \* Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute. \* A growth‑oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques

Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

Location: Primarily London & Cardiff

Working Model: Hybrid | 3 days travel per week across the UK, with expenses fully covered

Salary: Up to £110,000 + Package

Sole British National Eligible for security clearance

Who youll be working with:

As a Senior Data Scientist, youll lead high-impact AI projects, shaping technical strategy and delivering robust, real-world solutions. Youll mentor colleagues, drive measurable outcomes, and apply cutting-edge AI in high-stakes environments. Join a leading AI consultancy at the forefront of human-centred, responsible technology, working alongside experts shaping the future of the field.

What youll have the opportunity to work on:

Lead end-to-end data science projects, designing bespoke algorithms and robust software architectures.

Define core approaches for new engagements and ensure scalable, high-quality solutions.

Mentor and support the growth of junior data scientists and project teams.

Collaborate with commercial teams to shape project scope and build strong client relationships.

Champion best practices across the project lifecycle to deliver impactful results.

Contribute to thought leadership through courses, talks, or open-source initiatives.

What were looking for in a Senior Data Scientist:

Senior experience in data science or a quantitative field.

Fluent Python programmer with experience in deep learning frameworks (e.g., PyTorch).

Expert in core data science techniques (supervised/unsupervised, NLP) and developing innovative algorithms.

Leadership mindset, mentoring teams and fostering collaboration.

Commercially aware, able to translate complex business problems into practical, high-quality solutions.

As a Senior Data Scientist, whats in it for you?

Competitive salary

Unlimited holidays

Private medical and dental cover

TPBN1_UKTJ

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? Their 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. Candidates earn £28,000-£45,000. 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 Projecti 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AI Engineer Placement Programme- 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? Their AI Placement Programme 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. Candidates earn £28,000-£45,000. 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. They Get You Hired They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles. Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of. Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Student Placement Opportunity Information Communications Technology (ICT)

Location:Rose Hill HQ Liverpool
Contract:12-month Student Placement
Start Date:September 2026
Salary:Grade B - £25,599

About the Opportunity

We are offering an exciting paid placement for a motivated and enthusiastic student to join our Information Communications Technology (ICT) for a 12-month industry placement. This role is ideal for students who want to gain hands-on experience, contribute to meaningful projects, and develop professional skills within a supportive environment.

About Us

Merseyside Police is a forward-thinking, community-focused force dedicated to protecting our region and delivering the highest standards of public service. We work collaboratively across diverse neighbourhoods to prevent crime, support victims, and build trust with the communities we serve. As an organisation, we are committed to innovation, professional development, and creating an inclusive environment where every colleague can thrive. Joining Merseyside Police means making a real differenceevery day, in every role.

What Youll Be Doing

As a Student Placement within Information Communications Technology (ICT), you will support the team with a range of tasks, which may include:

• Agreeing the most appropriate technical solution(s) to meet business reporting and analytics needs
• Understanding, interpreting, and navigating complex database structures across multiple systems
• Extracting, transforming, and validating data from relational and non-relational data sources
• Developing, optimising, and maintaining efficient and scalable SQL queries, stored procedures, and views
• Building and maintaining SSRS reports, Power BI dashboards, and SSAS cubes to deliver insights across the business

Your work will contribute directly to the departments objectives and provide valuable real-world experience.

What Were Looking For

We welcome applications from students who are currently studying for a degree in relevant subject areas:

• Computer Science
• Information Systems / Information Technology
• Software Engineering
• Data Science & Analytics
• Artificial Intelligence & Machine Learning
• Cloud Computing
• Business Information Management

We welcome applications from students who:

• Have strong communication and organisational skills
• Are proactive, eager to learn, and able to work both independently and as part of a team
• Can bring fresh ideas, curiosity, and a willingness to get involved
• Are confident using IT systems and open to developing new technical skills

No prior experience is necessary training and support will be provided.

Position: Data Scientist
Location: London, UK (Hybrid-2 days a week from office)
6 months contract position

The Role

In this role, you will uncover the insights and intelligence that help customers in dynamic, data intensive industries operate, scale, and innovate. You will develop robust, future ready machine learning and analytical models that enable predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and advanced statistical and AI frameworks, you will work closely with engineering, product, and analytics teams to build solutions that are accurate, explainable, and scalable. This role empowers you to shape end to end analytical ecosystemsaccelerating delivery, enhancing decision quality, strengthening operational resilience, and guiding organisations toward a more insight rich, AI enabled future.

Your responsibilities:

Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights.

Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact.

Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision making.

Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well-defined modelling tasks.

Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs.

Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant.

Implement model evaluation frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops.

Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non-technical stakeholders.

Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions.

Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change.

Your Profile

Essential skills/knowledge/experience: (Up to 10, Avoid repetition)

Role- Data Scientist (5 to 12 Yrs)

Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc.

Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. (PG vector / croma DB)

Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval

Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP

Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript (preferable)

Solid understanding of LLMs, prompt engineering, and graph-based workflows.

Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc.

Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies

Knowledge of API Gateways and ISTIO, ability to Diagnose and intercept failures in End-to-End communication

Hands-on Experience with API Development and Microservices architecture

Desirable skills/knowledge/experience: (As applicable)

Strong experience applying machine learning, statistical modelling, and predictive analytics to real world business problems.

Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations

Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis.

Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning.

Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring.

Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows.

Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non-technical audiences.

Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles.

Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute.

A growth-oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques.

Senior Data Scientist Decisioning & Pricing Intelligence

Manchester (Hybrid 2 days onsite)
Up to £90,000 + bonus

The Opportunity

This is not a role where you sit in a notebook building models no one uses.

Our client is a market-leading SaaS organisation operating at scale within the automotive ecosystem, building the intelligence layer that drives real-world commercial decisions across Europe.

They are investing heavily in data and AI to power a next-generation decisioning platform helping enterprise clients make high-value pricing, trading, and operational decisions across thousands of assets, in real time.

?? This is about building models that directly influence revenue, pricing, and market behaviour.

The Role

Youll take ownership of production-grade models that sit at the core of a live product used daily by commercial teams across multiple markets.

This includes:

• Pricing intelligence
• Buyer behaviour modelling
• Stock segmentation
• Recommendation systems

Youll work closely with product, engineering, and domain experts to ensure your work doesnt just function it lands, scales, and delivers measurable impact.

What Youll Be Doing

• Building and deploying machine learning models into production environments
• Designing decisioning systems that optimise pricing, channel selection, and asset performance
• Developing explainable models (SHAP, LIME, feature importance) that drive user trust
• Creating frameworks to measure real-world impact and model effectiveness
• Working with large, complex datasets across multiple markets
• Collaborating with product and engineering teams to embed models into live systems

What Were Looking For

• Strong experience in machine learning, statistical modelling, or pricing / propensity modelling
• Proven track record of delivering models that go into production and stay there
• Experience working in commercial environments where data drives decisions
• Strong Python (or R) experience across modern data science tooling
• Familiarity with MLOps, model monitoring, and deployment pipelines
• Ability to communicate complex outputs clearly to non-technical stakeholders

Key Responsibilities

1. Analysis

• Conduct in-depth analysis of Sonar Systems using established methodologies.
• Develop appropriate models and analysis based on performance requirements collaboratively defined with the system design team, aligning with customer specifications.

2. Performance Modelling, Design Trade-offs, and Product Development

• Model performance across a broad spectrum of realistic underwater acoustic conditions.
• Evaluate sonar performance against customer requirements for inclusion in bid responses.
• Employ modelling and simulation to guide product decisions and refine Concepts of Operation/Employment, effectively quantifying the impact of Sonar System Design decisions on performance.

3. Support to Trials

• Assist in the execution of sea trials.
• Analyse trial data, assessing it against system performance requirements.
• Produce comprehensive reports on trial data analysis, drawing clear conclusions regarding trial success and the performance of the sonar system against its requirements.

4. Reporting and Collaboration

• Regularly report on the progress of assigned work to project and product development teams.
• Provide expertise during design reviews and customer presentations.

Skills, Qualifications, and Experience

• A relevant Bachelor’s degree (a higher degree is preferred) in Physics, Mathematics, Engineering or another STEM field (consideration will be given to other STEM degrees if the required skillset is demonstrated).

• It is desirable that you have experience in one or more of the following areas, preferably within the sonar or similar domain:

• Signal Processing & Data Analysis Algorithm Development (Python, MATLAB, Java)

• Detection, Classification and Localisation (DCL)

• ML / AI for DCL and Sonar analysis

• Performance Prediction Modelling

• Operational Analysis

• Trials Data Analysis

• Finite Element Analysis & Fluid Dynamics

• Transducer Design

Strong communication skills, with the ability to convey complex topics clearly and concisely to both expert and non-expert audiences.Proficiency in the use of mathematical and scientific modelling tools, such as Python or MATLAB.Proven ability to set and meet deadlines effectively.Existing or attainable Security Clearance (SC).

If you are passionate about making a significant impact in the field of Anti-Submarine Warfare and Naval Sonar technology and possess the skills and expertise we are looking for, we invite you to join our team and be part of our exciting journey.

Benefits on offer:

• Optional 9 day fortnight
• TOIL
• Flexible working hours
• 1pm finish on a Friday
• Annual bonus
• Hybrid working for certain job roles.
• Casual dress
• 25 days holiday
• Christmas shut down.
• Option to buy or sell holiday.
• Option to purchase private health care, dental, critical illness etc via salary sacrifice.
• Reward hub - discounts at over 200 online stores
• 4 x annual salary life cover
• Pension starting at 5% Employer / 4% Employee. You can select your employee contribution level from 4% to 70% (providing this sacrifice does not cause your salary to drop below the National Minimum Wage/ National Living Wage

Relocation Support

Attracting high-level talent and people that can add value and expertise, is vital to our success. Attracting and retaining brilliant people is imperative so that’s why we search across the UK for talent. We offer financial support to candidates that are considering relocating; this is considered on a case-by-case basis per role and subject to HMRC guidelines.

Nationality Requirements

Candidates must be eligible to obtain the relevant security clearance required for the role, due to the nature of the programmes we deliver for our customers.

Diverse & Inclusive Employer

Ultra Maritime is an equal opportunities employer that values diversity, inclusion, equity and equality. Underpinned by our values, behaviours, and policies, we want you to feel empowered to be your best and authentic self.

We promote a workplace that welcomes people from all backgrounds and cultures; believing that this will increase our diversity of thinking, and ultimately ensure we continue delivering on our commitments to our customers.

We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status and welcome applications from all candidates.

Technical Pricing Manager Motor (Commercial Vehicle)

Risk Pricing
UK | Primarily Remote (occasional travel to offices, either South East, London or North West)

This leadingUK insurer is expanding its Motor Risk Pricing team and is hiring an experiencedRisk Pricing Managerto lead pricing forCommercial Vehicleproducts. This is a high-impact role combining technical model ownership, stakeholder influence, and the development of scalable reporting and automation.

What youll be doing

• Own and improve theend-to-end pricing processfor Commercial Vehicle
• Develop and maintainrisk modelsusing traditional techniques and ML approaches.
• Shape and influence key pricing and underwriting projects as a senior stakeholder.
• Build automatedreporting and monitoring frameworksto track pricing performance and model health.
• Partnering with Data Science & ML teams
• Lead, coach and mentor team members, embedding high standards and continuous improvement.

What were looking for

• Experience managing / leading GI pricing and/or product portfolios, ideally withinMotor(Commercial Vehicle preferred).
• Strong modelling background (such as):GLMs, GBMs, GAMs, Elastic Net, Trees/Random Forests, Neural Nets, Clustering.
• Strong coding capability inPython / PySpark / R / SAS / SQL.
• Experience with WTWRadar.
• Confident communicator.

Salary:£75,000 - £90,000 p/a (d.o.e) + Bonus + Benefits

Please send your CV for immediate consideration

GWV Talent Solutions Limited (trading as Gerrard White Consulting and Vermelo RPO) acts as an employment agency for permanent recruitment and an employment business for the supply of temporary and contract workers. By applying for this job you accept the terms of our Privacy Policy and Terms of Service Agreement which can be found atwww.gerrrardwhite.com

Description

SAS Developer within Pharmaceutrical industry familiar with LSAF Framework working on Viya 4 Framework - MUST HAVE WORKED IN PHARMA INDUSTRY

Doing some pharmaceutical platform upgrades and this role is specifically for an upgrade and migration of a clinical trials platform.

SAS Viya 4 platform installation happening right now. Within next 2-4 weeks there will be migration, migration pharma modules onto new platform

Rigorous testing that needs to run through Governance they have through clinical trial needs to be tested and validated before they switch.

This role is a SAS Viya 4 platform Dev within Pharma industry, clinical trials

Good understanding of LSAF framework within their environment generate good qualify data analysis will need to help with migrating the modules, running them, testing them against the framework.

Skills

• SAS
• Viya 4
• LSAF

Job Title: SAS Developer

Location: London, UK

Job Type: Contract

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as “Allegis Group”). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.

To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.

We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the “Contacting Us” section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

Sparta Global is looking for passionate and committed individuals who want to kickstart a career in technology! You must be willing to complete full-time training in our Data programme and will then be assigned to work in a junior role with one of our trusted client partners as a ‘Spartan’ consultant. We are building for exciting future opportunities, your application will be reviewed accordingly, aligning to availability and requirements ensuring we can match the right candidates to the right roles.

We are seeking Data consultants to join our team:

Key Skills You’ll Learn:

• Handling, cleaning and analysing data using Microsoft Excel, SQL, Python and more
• Data visualisation, reporting and storytelling
• Data engineering and modelling, and ETL pipelines
• Data governance & ethics, including data protection, compliance, and responsible AI use

You will embark on a transformative development journey that combines academic learning, coaching, mentorship, real-world client projects, and continuous growth opportunities across a variety of industries and sectors.

As you progress through client projects you will have the opportunity to gain further qualifications along the way that will give you the chance to level up your skills.

How it works:

Learn: Complete a period of full-time Academy training when you join Sparta Global. All training is delivered remotely by our team of industry-professional trainers and is paid from day one.

Work: At the successful completion of training, you will become a ‘Spartan’ consultant and be available for assignment to work with one of our clients as a Data Consultant!

Grow: You’ll work with our client for up to 24 months, be able to access upskilling, salary increases, and are then available to convert to a full-time employee with your assigned employer.

How to apply:

Our recruitment process is simple and supportive, and we encourage people from all demographics and backgrounds to apply. You do not need to have prior experience of working in tech or studying a STEM subject at a high level. Degree level qualifications are not required.

Apply online - Our team of Recruiters will review your application and invite you to the next stage if you showcase the right aptitude for success.Complete online assessments and a first-stage interview - These assessments are testing your aptitude for learning, not what you know. Show us your potential and then your personality in a face-to-face interview.Final competency-based interview - Demonstrate your collaborative skills, problem-solving abilities, and growth mindset to secure your spot in the Academy.

Person specification:

This role would ideally suit someone with a passion for technology and innovation, excellent communication and problem-solving skills, you’re are driven and motivated to continuously learn, progress and expand your skills and establish a successful long-term career that can offer variety.

We’re also seeking passionate individuals who align with our values:

• Empathy & Diversity - Integrity, respect, and a commitment to inclusivity.
• Drive - A goal-oriented mindset with a passion for growth.
• Collaboration - A team-focused approach with a desire to build strong relationships.
• Innovation - Curiosity, creativity, and openness to new ideas.
• Flexibility - Adaptability and resilience in a fast-paced industry.

Eligibility:

As a Sparta Global Consultant, you will be deployed to work with one of our client partners at the completion of your training. For this reason, candidates must be open to relocation/commuting for client site deployments and remote work cannot be guaranteed.

Applicants must have the right to work in the UK (British/Irish Citizenship, EU Settled Status, or Permanent Visa Holder) and unfortunately, we are unable to sponsor visas at this time.

About Sparta Global:

Sparta Global is a technology services and education company, specialising in hiring, training, and deploying the next generation of leaders across in-demand technology and business skills.

Over the past decade Sparta Global has helped more than 3000 people kickstart a career in technology, supporting graduates, non-graduates, career changers, returners, and ex forces personnel to develop exciting careers with our network of 100+ employers across public sector, financial services, and commercial.

In 2024, Sparta Global was an awarded a King’s Award for Enterprise for Promoting Opportunity, adding to its accolades as a Top 20 Employer for Social Mobility, B Corp accredited business for sustainability, and Princess Royal Training Award winner.

The Benefits:

• Free training - paid from day one
• Performance-based reviews every six months to discuss salary increases
• Referral bonuses
• No exit fees

• 20 days of annual leave + bank holidays
• An extra day off for your birthday
• Pension scheme
• Eye care support
• Death-in-service cover
• Cycle-to-work scheme
• Season ticket loan
• Employee Assistance Programme
• Personal development budget
• Access to alumni and professional networks
• Opportunities to become a brand ambassador

Don’t wait to kickstart a career in technology, grab your opportunity to train and work with Sparta Global today!

Why Greencore?
Following the combination with Bakkavor in January 2026, we’re one of the UK’s leading creators of convenience food, driven by a simple purpose: to make everyday taste better.
As a vibrant and fast-moving business, we’re proud to employ over 28,000 talented colleagues across 36 manufacturing sites and 21 distribution depots in the UK and the US. Together, we bring delicious food to life. Our products cover every meal occasion from breakfast through to dinner and dessert, with lunch and snacking in between. In FY25, our shared passion helped us achieve combined revenues of approximately 4bn.
Our extensive direct to store (DTS) network, with 17 depots across the UK, allows us to deliver fresh and frozen food both our own and from trusted partners to thousands of stores every day, ensuring consumers enjoy the very best, whenever and wherever they shop.
Role Purpose
To deliver robust, accurate, and well-governed sustainability data that supports Greencore’s sustainability strategy, reporting, and decision-making. The role ensures strong data integrity, effective systems and processes, and high-quality analysis to enable reliable internal and external reporting and longer-term modelling

Key Accountabilties

• Implement and maintain a sustainability data governance framework, ensuring effective procedures for data integrity and robust internal and external reporting .
• Maintain clear documentation of sustainability data processes, methodologies, and controls
• Work with, and where appropriate develop, systems and tools to collect, analyse, and report sustainability data from multiple sources
• Conduct robust quality checks to ensure accuracy, consistency, and reliability of sustainability data
• Consolidate sustainability data from multiple sources into clear, usable formats to support the wider Sustainability team and stakeholders and as a key input into external sustainability (mandatory and voluntary) reporting
• Liaise with internal and external auditors to support sustainability assessments and reviews
• Prepare sustainability data and supporting evidence for internal and external assurance processes.
• Prepare data and responses for disclosure requests such as CDP, EcoVadis, Manufacture 2030/Secaro and ad hoc customer specific questionnaires
• Prepare data for monthly reporting of the sustainability metrics including Remuneration objectives
• Prepare data for governance forums including visuals and tables and maintain agreed glidepaths

What we’re looking for
Essential

• Strong data analysis skills with the ability to generate insight from complex data sets
• Extensive understanding of data tools, systems, and software to consolidate, analyse, and present data in useful formats
• Experience implementing strong data governance processes (e.g. working with audit/assurance)
• High attention to detail with a structured and analytical approach
• Ability to work collaboratively across functions

Desirable

• Finance background
• Experience working with sustainability or ESG data Experience supporting external/third-party audit or assurance processes

We’re not all the same at Greencore and our differences help us to make every day taste better for all our stakeholders. We truly put our people at the core and are proud of our diversity.

If this sounds like you join us, grow with Greencore and be a part of driving our future success.

What you’ll get in return:

• Competitive salary and job-related benefits
• 25 days Holiday
• Competitive matched pension contributions
• Company share save scheme
• Greencore Qualifications
• Exclusive Greencore employee discount platform
• Access to a full Wellbeing Centre platform

Location: Glasgow

Salary: Competitive

About Us

BiP Solutions are a SaaS business where data is at the core of everything we do. It s not just a function it s our competitive advantage. We are passionate about unlocking the full commercial value of our data to drive smarter decisions, better products, and stronger outcomes for our customers.

The Role

We re looking for a Senior Data Scientist to play a pivotal role in shaping and delivering our data strategy. This is a high-impact, hands-on position combining deep technical execution with strategic influence across the business.

You ll lead key data science initiatives, work closely with stakeholders across commercial, product, and technical teams, and help define how we leverage data as a true business superpower. Alongside this, you will mentor and manage two junior data scientists, supporting their growth and elevating the team s overall capability.

Working across the business

Reporting into our Director of Public Policy & Research, you will operate across our business, building with internal relationships with our Research & Insights, Technology, Product, Marketing and Sales functions as well as external relationships, with our wider data partners.

Given the cross-functional nature of this role, we will look for you to build, maintain, and strengthen trusted relationships across the business, ensuring data solutions are understood, embraced, and drive real commercial value.

Key Responsibilities

• Lead the design, development, and deployment of data science solutions that deliver tangible commercial value
• Work hands-on ( on the tools ) across the full data science lifecycle, from exploration to production
• Shape and contribute to the company s evolving data strategy
• Manage and mentor a team of two Data Scientists
• Promote best practices in data science, including experimentation, model validation, and reproducibility
• Communicate complex findings clearly to both technical and non-technical audiences

What We re Looking For

• Proven experience in a Senior Data Scientist or similar role, ideally within a SaaS or data-driven environment
• Strong hands-on expertise in data science tools and techniques (e.g. Python, machine learning, statistical modelling)
• Experience delivering data-driven solutions with measurable commercial impact
• Exposure to or experience with Elastic (Elasticsearch) is highly desirable
• Demonstrated experience managing or mentoring junior team members
• Excellent stakeholder management skills, with the ability to influence across multiple functions
• Strong problem-solving mindset with a proactive, commercially focused approach

Why Join Us?

• Be at the heart of a business where data truly drives decision-making
• Shape the future of our data capability and strategy
• Work on meaningful, high-impact projects with real commercial outcomes
• Opportunity to lead, mentor, and grow a talented data team
• Collaborative, fast-paced SME environment with real ownership and visibility

To Apply

If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Location: Remote (UK-based applicants only)

This listing is for a paidstructured Data Analyst Career Programme, not a traditional job.

We are recruiting motivated UK-based candidates who want to transition into a Data Analyst career through a guided, industry-aligned training programme with portfolio projects, certifications, and career support.

This is a 6-month, part-time, online Data Analyst Career Programme designed to help beginners and career-switchers gain job-ready data analyst skills and prepare for real roles in the UK job market.

You will be trained in the exact tools and workflows employers expect from junior and entry-level data analysts.

What you will learn

• Data analysis using Excel, SQL, Python
• Business intelligence and dashboards with Power BI
• Data cleaning, data modelling, and reporting
• Real-world portfolio projects for your CV and LinkedIn
• Interview preparation and career coaching
• Understanding how data analysts work in real companies

What You Get

• Structured online training (8-10 hours per week)
• Multiple hands-on portfolio projects
• Industry-recognised certifications
• Career coaching and job search support
• Guidance on CVs, LinkedIn, and interviews
• A clear pathway into junior / entry-level data analyst roles

Who This Is For

This programme is suitable if you are:

• Based in the United Kingdom
• A graduate, career switcher, or early-career professional
• Interested in starting a career in data analytics
• Willing to commit consistent time to structured learning
• Looking for guidance rather than self-study alone

Who This Is NOT For

• This is not a salaried job
• This is not free training
• Not suitable if you are not based in the UK
• Not suitable if you are unwilling to invest time in learning

This listing is for a paid training programme, not direct employment. Successful completion prepares candidates for entry-level data analyst roles, but employment is not automatic.

How to Apply

Apply to express interest and speak with an advisor to confirm eligibility and fit for the programme.Spaces are limited per cohort.

Equality, Diversity and Inclusion

Our programmes are open to all individuals regardless of age, gender identity, marital status, race, ethnicity, religion or belief, disability, sexual orientation, pregnancy, or socioeconomic background.

The Alan Turing Institute

Named in honour of Alan Turing,the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here

BACKGROUND

The Defence & National Security (D&NS) theme at the Turing is looking to expand its Applied Research Group (ARG).

As a team, ARG applies cutting edge research to real-world problems. Impact takes multiple forms: the fast development of a proof-of-concept to show what s possible; candid technical discussions to highlight what s not; and longer-term projects to deliver bespoke capabilities. Day-to-day, ARG collaborate closely with partners technical and subject-matter experts.

The ARG is a cross-disciplinary team therefore able to respond to a wide variety of problem sets and encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers.

CANDIDATE PROFILE

Please note that successful candidates will need to be eligible to undertake the DV clearance process once in-post and be willing to go through this process.

Eligibility criteria and further information on the process can be found on the UK Government security vetting website .

In terms of the ideal candidate, we encourage applications from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. You will have demonstrable experience in machine learning and be able to take initiative and carry out research independently. We are looking for candidates with experience in some of the following languages: Python, C, C++, Rust, Go. As well as the relevant technical experience successful candidates will have excellent written and verbal communications skills and the ability to clearly communicate complex or specialist information clearly and concisely.

DUTIES AND AREAS OF RESPONSIBILITY

• Develop, implement and adapt state-of-the-art and novel data science and machine learning techniques to problems faced by ARG’s partners.
• Contribute to high-quality collaborative applied research as part of the ARG, helping translate complex user requirements into deployable solutions.
• Perform experiments and develop capabilities, which might include building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and visualisations.
• Perform rigorous investigations into new algorithms and applications, providing consultancy to inform partners decisions and developing high-quality proof-of-concept outputs for real-world deployment.

Please see our portal for a full breakdown of the Job Description.

Terms and Conditions

This post is offered on a full-time fixed term basis until 30 April 2027. The annual salary is £42,593 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute

The role is based in London and will require some travel to partner-sites.

Application procedure

Please see our jobs portal for full details on how to apply and the interview process.

We request specific information to be included when applying in the cover letter. Our portal goes through this in more detail so please take note of this when applying, or we may not be able to process your application.

Closing date is Sunday 19 April at 23:59 (London, UK, BST).

Equality Diversity and Inclusion

We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed.

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.

£120,000 GBP
+Sign on +EOY Bonus
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

About the Company:

Our client is seeking a talented Quantitative Researcher to join their team and contribute to the development of cutting-edge trading strategies within their automated trading framework.

Key Responsibilities:

• Research and implement algorithmic trading strategies.
• Analyze large data sets using advanced statistical and quantitative techniques to identify trading opportunities.
• Develop a deep understanding of market structure across various exchanges and asset classes.

Qualifications and Skills:

• Strong quantitative background (Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics).
• Proficiency in at least one programming or scripting language (e.g., Python, C++, Java).
• Excellent communication skills.
• Capable of working effectively under pressure in a fast-paced environment.

Reference: AMC/JST/JQR/NW/001

Postcode: EC2Y 9BH

#josm

We are seeking a Senior Investment Analyst to join our Accounting & Finance department within the renewable energy space. This role requires a modelling professional with strong analytical skills and a passion for financial analysis and investment strategies.

Client Details

The employer is at the forefront of renewable energy infrastructure. This medium-sized company has a solid presence in the industry and offers a stable and professional work environment.

Description

• Analyse and evaluate investment opportunities and financial data within the renewable energy space.
• Prepare detailed financial models and forecasts to support investment decisions.
• Collaborate with stakeholders to develop and implement investment strategies.
• Monitor and report on financial performance and market trends.
• Provide insights and recommendations to optimise investment portfolios.
• Present findings and reports to senior management and other key stakeholders.

Profile

A successful Senior Investment Analyst should have:

• A background in Accounting & Finance or a related field.
• Proficiency in financial modelling and data analysis tools.
• Excellent communication and presentation skills.
• Attention to detail and a methodical approach to problem-solving.
• The ability to work effectively within a team and independently.
• A commitment to maintaining high standards of accuracy and compliance.

Job Offer

• Competitive salary ranging from £80,000 to £90,000 per annum.
• Permanent position in a stable and professional organisation.
• Opportunities for growth and development within the renewable energy sector

If you are ready to take the next step in your career as a Senior Investment Analyst in we encourage you to apply today!

Power BI Reporting Analyst / Widnes / Salary £50,000 - £55,000 depending on experience.

Accountable Recruitment are exclusively partnering with our long-standing client who are looking for a Power BI Analyst to join their team. Due to continued growth and expansion, our client is looking for this candidate to take ownership of its reporting suite and play a key role in transforming how data is used across the business.

This is a fantastic opportunity for someone who enjoys building dashboards from scratch, working closely with finance & the operations - shaping best practice in a business that is investing heavily in data.

You’ll sit at the heart of reporting for Finance and will partner with senior leadership to deliver accurate, clear and commercially meaningful insights.

Role responsibilities:

• You will build, develop and maintain Power BI dashboards and visual reports used across the group
• Create robust data models, DAX measures and calculations to support complex reporting.
• Produce key financial reporting including P&L, Balance Sheet, Cash Flow, variance analysis
• Support consolidated and multi-entity reporting
• Partnering with Senior Leaders, you will translate questions and business requirements into clear, scalable BI solutions.
• Deliver cost centre, spend analysis and performance reporting
• Develop reporting for Sales, Margin, Product, Channel and Regional performance
• Build stock and inventory reports (usage, ageing, valuation & movement)
• Provide operational KPIs and business performance tracking

Experience we are looking for:

• Strong hands-on expertise in Power BI, including data modelling, DAX and Power Query
• Experience producing financial reporting (P&L, Balance Sheet, Cash Flow, variance analysis)
• Background working with ERP data (Business Central, NAV, SAP, Oracle, etc.
• Strong communication skills - comfortable working with non-technical stakeholders
• Experience with Business Central implementations is desirable but not essential

To discuss this role in more detail please contact Lauren Harrison at Accountable Recruitment on

Please note this is a training course and fees apply

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

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

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. 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.

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

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.

Data Analyst (HR and Planning)

Are you an experienced HR Analyst from the public or higher education sector? Are you passionate about transforming HR data into meaningful insights that support strategic HR decision-making? As a Data Analyst (HR and Planning), you will play a vital role in shaping how the organisation measures success and manages risks. This 2-year fixed-term role offers an exciting opportunity to work on high-impact projects and develop your expertise in a collaborative and innovative environment.

Data Analyst (HR and Planning) Responsibilities

This position will involve, but will not be limited to:

• Gathering, cleaning, and analysing large and complex datasets to support strategic projects, ensuring data integrity and accuracy.
• Developing sustainable systems for data collection, reporting, and monitoring aligned with legal, GDPR, and governance requirements.
• Collaborating with stakeholders and department leads to understand data needs, ensure confidence in reporting, and deliver actionable insights.
• Supporting legal and regulatory frameworks by providing tailored data analysis, risk assessments, and compliance reports.
• Creating clear and engaging visual data presentations using Power BI and Tableau to communicate findings to non-technical audiences.
• Contributing to the optimisation of processes and systems to improve data sustainability and use across the organisation.
• Supporting data governance initiatives by assisting with compliance and risk management strategies.

Data Analyst (HR and Planning) Rewards

• Competitive salary depending on experience.
• 38 days holiday inclusive of bank holidays.
• Hybrid working with a minimum of 2 days in the office per week, offering flexibility, but with a need to do more office days as needed.
• Access to sports and fitness centre discounts.
• Enhanced pension scheme with up to 10% employer contributions.
• A supportive and dynamic environment fostering professional growth.

The Company

Our client is renowned for its entrepreneurial spirit, innovative research, and strong commitment to societal impact. It fosters an inclusive culture motivated by excellence, collaboration, and a desire to make a difference. The organisation actively supports its staff through generous benefits, development opportunities, and a commitment to work-life balance.

Data Analyst (HR and Planning) Experience Essentials

• Proven experience working within an HR data team within the public sector or Higher Education sector - essential, managing complex databases and software systems.
• Strong proficiency in IT, including MS Office and data visualisation tools such as Power BI and Tableau.
• Experience in extracting, cleaning, and analysing large datasets relating to Human Resources, with attention to accuracy.
• Understanding of GDPR and data governance principles.
• Knowledge of research, higher education, NHS, or health environments is desirable.
• Ability to communicate complex data insights clearly to varied audiences.
• Strong organisational skills with the ability to prioritise to deadlines and solve problems proactively.

Location

Central Oxford office location with excellent transport links. This role offers home working, 2 days a week. Paid parking may be available subject to meeting permit eligibility, or there are nearby driveway rentals or park and ride options.

Action

If you would like to find out more about this excellent opportunity, then please apply online today! We will review and respond to all applications.

“INDBOOST”

Allen Associates is a leading recruitment company in Oxfordshire recruiting for Marketing, Finance, Human Resources and PA/Administrative roles. Allen Associates operates as an Employment Agency for permanent recruitment and an Employment Business for temporary recruitment. For more information on current vacancies please visit (url removed) and follow us on LinkedIn.