Science degree jobs in HayesCreate job alerts

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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " • Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics ., • Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation., • Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing., • Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks., • Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment., • Partner with stakeholders to ensure robust, compliant , and performant AI solutions., • Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring ", • Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience."", • Hands-on e xperience developing solutions with Large Language Models in enterprise environments ., • Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) ., • Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."", • Experience with vector databases , data querying languages and retrieval methods., • A commercial mindset, you understand how data science drives value, not just insight, • Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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.

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? 2026 Manufacturing “A Year In Industry Programme” Locations: Wakefield, Edmonton, Sidcup, Uxbridge Are you ready to turn theory into practice and gain real, hands-on experience in one of the world’s leading consumer goods companies? We’re offering 4 Manufacturing Placements for university students who want to make an impact in a live production environment. (For our Uxbridge Head Office role, the focus will be on central operations rather than on-site manufacturing.) Starting August 2026, you’ll work alongside experienced engineers and operational teams, contributing to projects that drive improvements in efficiency, quality, and safety across our sites. This is your chance to learn, grow, and make a difference. Our 2026 Manufacturing Year in Industry Programme is open and waiting for your application! At CCEP, we believe in attracting new talent to our business and valuing the innovation that a diverse workforce brings. We welcome candidates from all backgrounds and experiences, with a particular focus on improving gender balance in manufacturing. What You’ll Be Doing: During your Year In Industry, you’ll be: * • Supporting manufacturing and production teams on live projects, • Analyse processes and identity improvement opportunities, • Assist with quality, safety or efficiency initiatives, • Collaborate with teams across the site, • Present your work at the end of the programme This is a hands-on role – you’ll be out on the shop floor, not just behind a desk. What we are looking for You’ll be: * • Studying a degree in Manufacturing, Mechanical, Electrical, Food Science, or a related discipline., • In your penultimate or final year of study., • Curious about how things are made and passionate about operations., • Comfortable in a fast-paced, practical environment., • A strong communicator who thrives in a team setting. No previous industrial experience required – just enthusiasm and a willingness to learn Programme Details: * • Start date: August 2026, • Duration: 12 months, • Locations: Wakefield, Sidcup, Edmonton & Uxbridge (CCEP Head Office), • Assessment Centre: April 2026 (at site, location tbc) Our Selection Process: * • Online application, • Psychometric testing, • Video Interview, • Assessment Centre Taking place in April 2026 Why Apply and Join Us? * • Work on real projects that shape how our manufacturing sites operate., • Gain exposure to cutting-edge technology and professional environments., • Receive mentorship and development support from industry experts., • Competitive package and a year of invaluable experience with a global leader. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

IT SOX Manager What you will become a part of Join CCEP’s IT Risk & Compliance team and help protect the digital ecosystem of one of the world’s leading FMCG organisations. You’ll collaborate with colleagues across multiple countries, work closely with diverse business and technology teams, and contribute to strengthening CCEP’s internal control environment. This role gives you the opportunity to be at the forefront of cybersecurity, regulatory compliance, and IT risk management while supporting transformation programmes that shape our future technology landscape. What you will do As an IT SOX Manager, you will play a key role in ensuring that CCEP’s IT systems, processes, and controls comply with internal policies, SOX requirements, and relevant industry frameworks. Your responsibilities will include: • Managing end‑to‑end SOX compliance for IT General Controls across all CCEP markets., • Overseeing control execution, evidence quality, remediation activities, and closure tracking., • Leading SOX audits, working closely with internal and external auditors., • Driving annual scoping activities, walkthroughs, documentation updates, and IT risk/control evaluations., • Ensuring transformation projects and system integrations meet SOX and internal compliance requirements., • Providing 2nd Line of Defence oversight for IT control compliance and control owner attestation., • Maintaining performance visibility in GRC dashboards and reporting tools., • Training IT and business teams on IT Risk and Control concepts., • Preparing management reporting on Information Security risk, control performance, and audit findings., • Building strong partnerships with key teams, including Enterprise Risk Management, Business Continuity & Resilience, Corporate Security, Finance Internal Controls, and Internal Audit. What we expect from you You bring a blend of technical expertise, risk awareness, and a collaborative mindset. Specifically, we are looking for: Qualifications & Experience • A degree in Computer Science, Information Systems, Business, or a related field., • 4+ years of IT experience within Information Security, IT Risk, or similar domains., • Proficiency in English., • Hands‑on SAP experience (ECC, S/4, GRC) including user access management, authorisations, and SOX control analysis., • Experience managing and executing SOX IT General Controls, with strong capability in SAP control performance., • A background in delivering audits, assessments, or compliance initiatives—BIG-4 experience is a plus., • Experience working in large, complex, multinational environments., • Understanding of IT security management systems and frameworks (NIST, ISO 27001)., • Experience implementing or operating GRC workflows and SAP Process Controls (CCM)., • Strong knowledge of enterprise applications, particularly ERP and financial systems. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

Science Tutor Are you a high-achieving Science graduate with a minimum 2:1 degree, keen to gain paid school-based experience before potentially progressing into teacher training? A well-regarded mixed secondary academy in North West London is seeking an ambitious and confident Science Tutor to support pupils across Biology, Chemistry and Physics from February 2026. This Science Tutor role is well ... ZIPC1_UKTJ

📍 Twickenham, South West London (hybrid) 💰 Up to £50,000 per year (DOE) 🕒 Full-time | Permanent STM Environmental Consultants is growing, and we’re looking for an experienced Senior Geotechnical / Environmental Consultant to join our team. Based in Twickenham, we are a well-established geo-environmental consultancy delivering high-quality environmental and geotechnical solutions to a wide range of clients. While STM operates independently with its own strong reputation and client base, we are also part of a wider group of geo-environmental companies. This means you benefit from the best of both worlds — the close-knit, supportive environment of a specialist consultancy, alongside the backing, collaboration opportunities, shared expertise, and increased project exposure that come from being part of a larger group. At STM, you’ll take real ownership of projects from day one, working within a collaborative team that genuinely values professional growth and technical excellence. 🔎 The Role You will lead and manage geo-environmental site investigations while playing a key role in client liaison, regulatory engagement, and business development. This is an ideal opportunity for someone ready to step into (or further develop in) a senior position with project leadership and people management responsibility. 🛠 Key Responsibilities • Project managing geo-environmental site investigations , flood risk assessments, and ecology projects, • Producing and reviewing factual and interpretative reports, • Peer reviewing technical reports, • Liaising with Local Authority regulators, • Preparing quotations and supporting business development, • Managing and mentoring junior staff, • Liaising with and working along side other colleagues in the wider Phenna Infrastructure division ✅ Skills & Experience Required • Extensive experience in:, • Geotechnical ground investigations, • Contaminated land risk assessments, • Excellent technical report writing skills, • Strong IT proficiency, • Experience managing projects and people, • Strong communication and client-facing skills, • Minimum 5 years’ relevant experience 🎓 Qualifications • Degree (BSc or MSc) in Geo-Environmental Science, Engineering, or related discipline, • Full UK driving licence (essential)

Senior Maritime Engineer (Safety) at AACE, UK Wide (predominantly South West) Location: UK Wide (predominantly South West) Salary: £55,000 – £70,000 (dependent on background, qualification, and experience) Job Type: Permanent Job Description AACE has a number of excellent opportunities for qualified and experienced senior maritime engineers to join our safety team. Applicants will ideally have worked in the military or supporting defence organisations and had exposure to providing maritime safety support under DSA02-DMR. You will be working within an experienced team of subject matter experts (SMEs) providing safety advice, guidance and leadership in a range of surface and sub-surface projects and programmes. You will need to be conversant with Microsoft Office (Word and Excel) as well as possess excellent written and oral English skills. Tasks may include development of hazard logs, assessment of functional safety, development of safety case reports, and the provision of specialist safety advice, guidance and leadership. Role characteristics include the desire to meet or exceed client requirements with high-quality support and outputs, and a pro-active, flexible, and constructive approach. Key Skills and Experience • Bachelor’s or master’s degree or equivalent in an appropriate engineering discipline, • Comprehensive maritime engineering experience in combat or marine systems either seagoing or in supporting organisations/companies, • Detailed working knowledge and/or experience in the MOD safety processes such as Defence Safety Authority (DSA) regulations, DEFSTAN 00-056, JSP 430 and the Project Oriented Safety Management System (POSMS) or similar, • Ability to hold SC security clearance, • Authoring skills safety documents including, but not limited to: hazard logs, safety case reports, and ALARP justifications/statements, • Working knowledge and experience in the use of Safety Engineering tools and techniques such as: Reliability Workbench, ASCE, BowTie, Event Tree Analysis (ETA) or Fault Tree Analysis (FTA), • Competent with the full MS Office 365 suite of applications, • Excellent communication (oral and written) and interpersonal skills and the ability to apply these confidently at all levels, • Incorporated or Chartered Engineer membership of the Institute of Marine Engineering, Science and Technology (IMarEST) or similar institutes/institutions, • Qualifications in safety engineering, including, but not limited to:, • Ship Safety Management Office (SSMO), • Safety and Environmental Management Training (SEMT), • Marine Engineering Management Training (MEMT), • ISO 9001 Quality Management AACE is a Bristol based, family-owned company and an established SMR with valued employees working in close-knit teams: • Salary: £55,000 – £70,000 (dependent on background, qualification, and experience), • Flexible and hybrid working, • 28 days annual holiday plus public holidays, • Company pension and private healthcare Please contact us at for further information about the role, or to apply, please send us your CV along with a covering letter stating why you would be suitable for the position. \n#J-18808-Ljbffr

About you This role would suit someone with a degree in psychology, healthcare, sports science, or something similar, but more important than your degree is that you’ve had some experience (paid or voluntary) supporting vulnerable people (to achieve goals) and you genuinely care about helpi

Degree or equivalent in related field; Legal, Data Protection, Information Systems, Computer Science, Data Management or Data Protection. Providing appropriate focus on data privacy as it relates to AI within the Group as a key risk area by providing strategic expert advice and direction on data pro

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn't rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That's why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it. About your team: At Centrica Energy, our mission is to move it. We're energy movers by nature. We're a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors. As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices. This role will be situated in our London or Aalborg office and the successful candidate will be required to: Produce high quality increments to the team's model library - working both individually and collaboratively. Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation. Provide support to Trading & Origination on model usage and behaviour. Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency. Here's what we're looking for: Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject. Solid experience of code development in Python, including: Experience developing in an Agile environment Use of math/stats & testing libraries, as well as modern build tools. Ability to refactor code and work effectively with legacy systems. Knowledge of Object Orientation, Software Architecture and Design Patterns. Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus. Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable. Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems. Familiarity or high level of interest in Energy / commodity markets. Strong Communicator and fluent in English language. Strong interpersonal skills. #LI-CET Why should you apply? We're not a perfect place - but we're a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That's why we've designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we're a great place to work and what being part of more means for you. If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey. TPBN1_UKTJ