We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:

• Sky Q, for the TV you love all in one place
• The magic of Sky Glass at an exclusive rate
• A generous pension package
• Private healthcare
• Discounted mobile and broadband
• A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Job Title: Research Associate or Research Assistant in Circular Robotic ManufacturingJob Reference: REQ Date Posted: Wed, 25 Mar :00:00 GMTApplication Closing Date: Mon, 20 Apr :00:00 GMTLocation: LoughboroughPackage: Specialist and Supporting Academic Research from £29,588 per annum. Subject to annual pay award. Wolfson School of Mechanical, Electrical and Manufacturing Engineering Full Time, Fixed Term until 31 January 2028 This role is not suitable for remote working and is office based only as it is essential that the post holder has the ability and willingness to travel to national and international partners and undertake visits lasting 1-3 weeks to project partners. Please note: this role will be recruited to either a Post Doctoral Research Associate (grade 6) or Research Assistant (grade 5) depending on the pool of applicants we receive. Join us and be part of a vibrant community at Loughborough University. About the University Universities are one of this country’s greatest assets. We’re educators, employers, innovators and pioneers. We shape culture and society. At Loughborough, we strive for better, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better. Here’s more about the role and what we’re looking for: We are looking for a talented and enthusiastic Graduate Research Assistant or Post-Doctoral Research Associate with strong interest in Circular Economy, Robotics, AI and vision systems, sustainability, remanufacturing and recycling to work on an exciting project which aims to develop a whole system circular approach to the design, use and end-of-life management of industrial robots. The postholder will be based at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University campus and will lead work on developing a circular economy framework for disassembly, refurbishment, remanufacturing or material recycling of end-of-life industrial robots, supported by  AI-based life cycle assessment (LCA) and life cycle costing (LCC) models. This appointment is fixed term until the current project end date of 31 January 2028. You will have a BSc, MSc or PhD degree or equivalent in mechanical, manufacturing, electronic, robotic control engineering or any relevant discipline. You will have regular interaction and collaborate closely with the project’s team of researchers together with an integrated academic and industrial project team to develop new learning and to disseminate the project findings. For more information about the Research Assistant (grade 5) please see the Job Description and Person Specification. For more information about the Post Doctoral Research Associate (grade 6) please see the Job Description and Person Specification. Why should you Apply? With huge amount of variety in the role, there is an opportunity for you to develop and continually grow. If this sounds like the right place, team and role for you please do get in touch. We’d love to hear from you. Informal enquiries should be directed to Professor Shahin Rahimifard ( ) Application Process For further support with your application, please refer to our application guidance, which includes some top tips to help you when completing your application We are happy to consider any reasonable adjustments that candidates may need during the recruitment process. If there are additional adjustments, you’d like to request please contact Professor Shahin Rahimifard. We also offer reasonable adjustments on the job. Closing Date: 20 April 2026 Interview Date: To be confirmed Our Benefits At Loughborough, our benefits are designed to support your life inside and outside of work, helping you to thrive and feel valued as part of our community.  Examples of our benefits include: Time off - generous holiday allowance, including 14 university closure days and bank holidays, with the option to buy extra through our holiday purchase scheme. Where you work - access to a range of fantastic facilities with plenty of green space across our 523-acre East Midlands campus, plus an exciting community at our London campus on the Queen Elizabeth Olympic Park Financial Wellbeing - competitive pay, two excellent pension schemes, and everyday savings opportunities. Support for you and those close to you - through our range of life event leave policies as well as access to an on-site nursery at our East Midlands campus, flexible and hybrid working options. Health and Wellbeing - discounted gym memberships and access to world-class sporting facilities, including physiotherapy, plus healthcare offers such as eyesight testing and wellbeing support. Travel and sustainability - access to our electric vehicle and cycle-to-work schemes, as well as a variety of travel offers to support sustainable commuting. Discover more about the full range of rewards and benefits at Loughborough University.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist / Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you’ll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques,  in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi-modal data; in multiple formats from a variety of different sources. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading  solutions. We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve.  We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact   All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good

Working in the People and Culture Digital Systems and Analytics team, to design, develop, and deliver comprehensive reporting and analytics solutions that provide clear and actionable insights to support the University's strategic and operational goals.The Data Analyst will be responsible for tracking progress against set targets, ensuring data accuracy, and offering quality assurance. Leveraging a range of tools, the postholder will focus on automating data processes, enhancing reporting efficiencies, and crafting data visualisation dashboards and detailed reports. The postholder will also be responsible for leading on/or working as part of a team to deliver People and Culture related statutory reporting which is a key element of this role. Applicants must hold:Degree or equivalent qualification with a focus on data analysis, statistics, or a relevant business management related field. In the absence of a relevant degree, consideration will be given to applicants who can demonstrate extensive recent relevant experience in a similar post.Substantial recent relevant experience to include a significant component of data collection, validation, and interpretation, with a history of producing actionable insights to guide and inform strategic decisions.Experience of using relevant Business Intelligence/Analytical software such as Tableau or Microsoft Power BI to present and analyse large amounts of data and to develop and maintain data visualisation dashboards and detailed reports tailored to various stakeholder groups.Demonstrated experience in streamlining, documenting, and ensuring the consistency of data collection and reporting processes.Strong spreadsheet and database query experience and analytical skills with the capability to interpret data, identify trends, and present complex data comprehensibly to diverse audiencesExperience in collaborating across multiple departments or teams, with the ability to integrate data systems and share best practices. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and where applicable the desirable criteria listed in the Candidate Information. Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit www.qub.ac.uk/diversity. If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application - http://go.qub.ac.uk/internationalstaffsupport. Candidate Information

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.

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.

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

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.

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

Senior Data Science Consultant

?? Bristol (Hybrid) | ?? Up to £60,000

We’re working with a growing consultancy delivering advanced analytics and optimisation solutions. They’re looking for a Senior Data Science Consultant to help solve complex operational and supply chain challenges.

This role is ideal for someone who enjoys combining data science with mathematical optimisation, working on real-world problems with tangible impact.

The Role

You’ll design and deliver optimisation and data science solutions, working closely with clients to turn complex business problems into scalable, production-ready models.

Projects include predictive modelling, simulation, and optimisation, often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies.

What You’ll Be Doing

• Building optimisation models and ML solutions to support decision-making
• Applying techniques such as mixed integer programming, simulation and advanced analytics
• Developing production-ready pipelines and models
• Working directly with stakeholders to shape solutions and deliver value
• Delivering projects in an Agile (Discovery ? Alpha ? Beta ? Live) environment

What They’re Looking For

• Strong Python and data science / machine learning experience
• Exposure to optimisation or operations research
  (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools)
• Experience delivering end-to-end data solutions
• Strong communication skills and client-facing experience

Nice to have:

• Experience with Palantir Foundry or similar platforms
• Background in supply chain, defence, or operational analytics
• Cloud experience (AWS, Azure, GCP)

Why Join?

• Work on complex, high-impact optimisation problems
• Exposure to modern data platforms including Palantir
• Join a growing consultancy with real influence on delivery and design
• Hybrid working with a Bristol base

If you’re interested in optimisation, data science, and solving real-world problems, this is a great opportunity to step into a consulting environment with meaningful impact.

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

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.

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!

£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

Data Scientist (Machine Learning) – Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working

My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK.

Due to exciting growth we are building a new machine Learning team. With most of the team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of our new Microsoft Fabric Lakehouse and machine learning platform. This is a largely remote role with on average just 1 day a month required in the office.

The Data Scientist (Machine Learning) will apply statistical and machine learning techniques to real commercial datasets, producing outputs such as impact analysis, ROI modelling, forecasting, and anomaly detection. The emphasis is on practical model delivery, documentation, and handover, rather than long-term operational ownership.

As our new Data Scientist (Machine Learning) you will be responsible for:

• Build predictive, forecasting and anomaly-detection models
• Perform feature engineering & validation using Python / PySpark
• Work in Fabric Notebooks, Delta Lakehouse, and AutoML
• Embed models into production pipelines with our Data Engineering team
• Document and hand over deliverables

If you are an experienced Junior or Mid-level Data Scientist (Machine Learning) this could be a great opportunity for you. You should have experience of:

• Experience as a Data Scientist or advanced Data Analyst
• Strong analytical/statistical skills
• Practical Python modelling experience
• Good SQL for data exploration
• Clear communication of results to non-technical teams

Initially this is a 12 month Fixed Term Contract but with the work we have there is every chance of it becoming permanent. It would be an ideal role for a strong Junior/early Mid-level Data Scientist looking to take on more ownership and deliver real Production outcomes. This role is largely remote with just 1 day a month needed on average in the office. Interested? Apply now for an immediate interview.

#INDMM

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.

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

Data Consultant needed with active SC Security Clearance and strong Power BI, Tableau and AWS Cloud experience.

6 Month Rolling Contract based in Corsham (Wiltshire). Start asap in Spring 2026.

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

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

• Design, build + implementation of an AWS cloud-based Data Analytics platform to provide data workflow, data visualisation + dashboard solutions.
• Key Skills: Power BI and Tableau dashboard + data visualisation tools.
• AWS Cloud Infrastructure environments including: AWS Glue, S3 Buckets, Athena + Serverless data pipelines.
• Python / R-style workflow development, SQL querying + data transformation skills.
• Hands-on experience with secure, cloud-based Data Analytics platforms.
• Supporting definition of the POC scoping, success criteria + value proposition.
• Shaping the technical path from POC to MVP considering scalability, security, governance + reuse.
• Supporting build, configuration + implementation activities alongside developers + data engineers.
• Ability to simplify complexity + communicate technical trade-offs clearly to key stakeholders.
• In-depth experience in Data Engineering, Data Analytics platforms + Data Science.

Role Purpose

To support the Asset Data Analyst in managing and enhancing asset management data systems. The role focuses on ensuring high-quality data is maintained, developed, and effectively used to inform investment decisions, long-term planning, and compliance with relevant regulatory standards.

Key responsibilities include maintaining accurate property and asset records, supporting energy efficiency data management, and contributing to strategic planning through reliable data insights.

Key Responsibilities

Asset Data Management

Under the direction of the Asset Data Analyst:

• Collect, validate, input, manipulate, extract, and analyse asset-related data.
• Ensure data accuracy by challenging inconsistencies provided by internal teams and external contractors.
• Coordinate and support programmes of stock condition surveys.
• Gather stock condition and component lifecycle data from multiple sources and formats, ensuring timely and accurate input into asset management systems.
• Reconcile property address data across asset management and housing management systems to maintain consistency.
• Generate scenario modelling from asset databases to support investment planning, financial forecasting, and maintenance programmes.
• Review and update cost data schedules and component lifecycle assumptions within asset systems.
• Maintain the security, integrity, and confidentiality of asset data in line with organisational policies and procedures.
• Continuously improve the scope, accessibility, and accuracy of asset data.
• Produce reports relating to stock condition, regulatory compliance, financial planning, and energy efficiency performance.
• Maintain and update data relating to the energy efficiency of residential properties.
• Provide accurate and comprehensive asset and property data to support strategic planning and organisational objectives.
• Respond to enquiries regarding asset management and energy efficiency from stakeholders, including internal teams and residents.
• Support the monitoring and review of the Asset Management Strategy and associated documentation.
• Deliver training and guidance to staff on accessing and using asset management systems.

Business Continuity

• Contribute to business continuity planning and, where required, support the recovery of key services within defined timeframes.

Health and Safety

• Comply with all relevant health and safety legislation and organisational policies.
• Identify, manage, and monitor risks within the scope of the role.