Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Nov 06, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Nov 06, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Lead Data & Analytics Consultant, Banking and Finance Position Description Location: Hybrid with London, 2 days a week onsite. At CGI, you'll help shape how leading banks and financial institutions turn data into a strategic advantage. As a senior Data & Analytics leader, you'll influence transformation at executive level, bringing together data, analytics and AI to improve decision-making, customer outcomes, operational performance and growth. You'll have the ownership to shape ambitious client strategies, the freedom to explore innovative approaches and the backing of CGI's global expertise to turn them into measurable results. Working across consulting, technology and delivery, you'll help clients build modern data foundations, embrace responsible AI and translate complex information into actionable insight-while strengthening CGI's position as a trusted transformation partner across Banking and Financial Services. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Your future duties and responsibilities In this role, you will lead strategic Data & Analytics consulting and transformation initiatives across CGI's Banking and Financial Services clients. As a trusted advisor to senior executives, you will help organisations establish modern data foundations, define enterprise data strategies and use analytics and AI to create measurable business value. You'll take ownership of complex engagements, connecting business priorities with data and technology strategy to create practical transformation roadmaps. You will work alongside CGI colleagues across consulting, delivery, engineering, data science, technology and alliances, with access to global expertise to help turn ambitious ideas into successful outcomes. You'll have the opportunity to shape new propositions, explore innovative applications of analytics and AI, grow client relationships and strengthen capability across our teams through coaching and knowledge sharing. • Advise & Transform - Lead strategic data, analytics and AI advisory engagements and enterprise transformation programmes. • Shape & Innovate - Develop propositions spanning customer intelligence, risk, operational efficiency, decision intelligence and growth. • Influence & Engage - Build trusted relationships with C-suite executives, data leaders and senior business stakeholders. • Analyse & Discover - Use complex datasets and advanced analytical approaches to uncover opportunities, risks and actionable insights. • Define & Deliver - Shape enterprise data strategies, governance frameworks, target-state architectures and operating models. • Lead & Realise Value - Guide data and analytics initiatives from strategy through implementation, adoption and measurable outcomes. • Position & Grow - Support strategic pursuits, propositions, executive advisory engagements and account growth. • Collaborate & Orchestrate - Bring together multidisciplinary CGI teams to deliver integrated, data-driven solutions. • Coach & Elevate - Mentor colleagues, share expertise and strengthen CGI's Data & Analytics capability. • Represent & Advocate - Build CGI's market presence through thought leadership, industry forums and client engagements. Required qualifications to be successful in this role You will be an established Data & Analytics leader with significant Banking and Financial Services experience and a track record of turning data strategy, analytics and emerging technology into tangible business outcomes. You should combine strategic consulting expertise with strong commercial awareness, analytical thinking and the ability to influence senior stakeholders while making complex subjects accessible to business audiences. • Extensive Banking & Financial Services experience leading data, analytics, AI or enterprise data transformation initiatives. • Deep data strategy expertise, including governance, data quality, operating models, transformation roadmaps and modern data architectures. • Strong analytical capability, with experience interpreting complex datasets to identify customer behaviours, opportunities, inefficiencies and emerging risks. • Proven executive advisory skills, with experience engaging C-suite executives, Chief Data Officers, CIOs and other senior leaders. • Strong knowledge of modern data ecosystems, including cloud data platforms, data engineering, data management and enterprise architectures. • Applied AI and analytics experience, including advanced analytics, machine learning, GenAI, decision intelligence or intelligent automation. • Banking data domain knowledge, ideally spanning areas such as customer, product, payments, lending, financial crime, risk, treasury or regulatory reporting. • Data governance expertise, including data quality, controls, metadata and master data management. • Transformation leadership experience, including business cases, operating-model design and translating strategy into executable change. • Commercial and growth capability, with experience supporting proposals, account development, propositions and client opportunities. • Excellent communication and storytelling skills, including presenting data-driven recommendations and technical concepts to non-technical audiences. • Thought leadership credentials, demonstrated through executive advisory work, industry participation, publications, briefings or similar market engagement. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Nov 06, 2026
Full time
Lead Data & Analytics Consultant, Banking and Finance Position Description Location: Hybrid with London, 2 days a week onsite. At CGI, you'll help shape how leading banks and financial institutions turn data into a strategic advantage. As a senior Data & Analytics leader, you'll influence transformation at executive level, bringing together data, analytics and AI to improve decision-making, customer outcomes, operational performance and growth. You'll have the ownership to shape ambitious client strategies, the freedom to explore innovative approaches and the backing of CGI's global expertise to turn them into measurable results. Working across consulting, technology and delivery, you'll help clients build modern data foundations, embrace responsible AI and translate complex information into actionable insight-while strengthening CGI's position as a trusted transformation partner across Banking and Financial Services. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Your future duties and responsibilities In this role, you will lead strategic Data & Analytics consulting and transformation initiatives across CGI's Banking and Financial Services clients. As a trusted advisor to senior executives, you will help organisations establish modern data foundations, define enterprise data strategies and use analytics and AI to create measurable business value. You'll take ownership of complex engagements, connecting business priorities with data and technology strategy to create practical transformation roadmaps. You will work alongside CGI colleagues across consulting, delivery, engineering, data science, technology and alliances, with access to global expertise to help turn ambitious ideas into successful outcomes. You'll have the opportunity to shape new propositions, explore innovative applications of analytics and AI, grow client relationships and strengthen capability across our teams through coaching and knowledge sharing. • Advise & Transform - Lead strategic data, analytics and AI advisory engagements and enterprise transformation programmes. • Shape & Innovate - Develop propositions spanning customer intelligence, risk, operational efficiency, decision intelligence and growth. • Influence & Engage - Build trusted relationships with C-suite executives, data leaders and senior business stakeholders. • Analyse & Discover - Use complex datasets and advanced analytical approaches to uncover opportunities, risks and actionable insights. • Define & Deliver - Shape enterprise data strategies, governance frameworks, target-state architectures and operating models. • Lead & Realise Value - Guide data and analytics initiatives from strategy through implementation, adoption and measurable outcomes. • Position & Grow - Support strategic pursuits, propositions, executive advisory engagements and account growth. • Collaborate & Orchestrate - Bring together multidisciplinary CGI teams to deliver integrated, data-driven solutions. • Coach & Elevate - Mentor colleagues, share expertise and strengthen CGI's Data & Analytics capability. • Represent & Advocate - Build CGI's market presence through thought leadership, industry forums and client engagements. Required qualifications to be successful in this role You will be an established Data & Analytics leader with significant Banking and Financial Services experience and a track record of turning data strategy, analytics and emerging technology into tangible business outcomes. You should combine strategic consulting expertise with strong commercial awareness, analytical thinking and the ability to influence senior stakeholders while making complex subjects accessible to business audiences. • Extensive Banking & Financial Services experience leading data, analytics, AI or enterprise data transformation initiatives. • Deep data strategy expertise, including governance, data quality, operating models, transformation roadmaps and modern data architectures. • Strong analytical capability, with experience interpreting complex datasets to identify customer behaviours, opportunities, inefficiencies and emerging risks. • Proven executive advisory skills, with experience engaging C-suite executives, Chief Data Officers, CIOs and other senior leaders. • Strong knowledge of modern data ecosystems, including cloud data platforms, data engineering, data management and enterprise architectures. • Applied AI and analytics experience, including advanced analytics, machine learning, GenAI, decision intelligence or intelligent automation. • Banking data domain knowledge, ideally spanning areas such as customer, product, payments, lending, financial crime, risk, treasury or regulatory reporting. • Data governance expertise, including data quality, controls, metadata and master data management. • Transformation leadership experience, including business cases, operating-model design and translating strategy into executable change. • Commercial and growth capability, with experience supporting proposals, account development, propositions and client opportunities. • Excellent communication and storytelling skills, including presenting data-driven recommendations and technical concepts to non-technical audiences. • Thought leadership credentials, demonstrated through executive advisory work, industry participation, publications, briefings or similar market engagement. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team-one of the largest IT and business consulting services firms in the world.
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Nov 06, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
Nov 06, 2026
Full time
Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.
