What Statistical Modeling Jobs are in London?

frog -Managing Consultant - Data Science (Customer Data) - London Reference Code: -en_GBContract Type:PermanentProfessional Communities: Strategy & Transformation

Why Join frog?

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. Were inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.

Joining frog means youll be joining the pond, a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your communityand the world at large.

frog Data

Join our frog data team and help shape the future of data and AI consulting. We help brands unlock the value and power of data and AI through the lense of customer experience. Youll work at the intersection our solutions focus on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact. If youre passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference

An Overview Of The Role

We are seeking a highly skilled Managing Consultant with hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial sectors. Has commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Additionally, the candidate should have strong project management and people management skills.

What We Look For

• Data Science & AI Expert Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
• CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty.
• Programming Experience - Skilled in using programming languages such as Python
• Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning.
• Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
• Strong AI Delivery Leadership Experience leading cross-functional teams to understand business challenges and create valuables products/solutions, including planning, execution, and successful delivery of AI/ML POCs, MVPs and production grade solutions.
• Commercial Acumen - Commercial experience including responding to RFP/RFIs, drafting SOWs, costing up engagements and client negotiation. Experience building strong relationships with senior client stakeholders to identify and execute against new sales opportunities.
• People Manager - People management skills, including mentoring, guiding, and developing team members.
• Excellent Communicator Strong written communication, presentation and data driven storytelling skills, with the ability to communicate complex ideas clearly to senior client stakeholders
• Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space

It Would Be a Bonus If You Have

• Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
• Familiarity with Agentic AI development and use cases
• Familiarity with ethical considerations and best practices in AI and data science

Need To Know

We dont just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained Mental Health Champions across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy

CSR

Were also focused on using tech to have a positive social impact. So, were working to reduce our own carbon footprint and improve everyones access to a digital world. Its something were really serious about. In fact, we were even named as one of the worlds most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, youll join a team that does the right thing.

Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

More information is at available at:

frog - Consultant/Senior Consultant - Data Science (Customer Data) - London Reference Code: -en_GBContract Type:PermanentProfessional Communities: Strategy & Transformation

Why Join frog?

Since June 2021, frog is part of Capgemini Invent. frog partners with customer-centric enterprises to drive sustainable growth, by building and orchestrating experiences at scale, while harnessing the power of data and technology. Were inventing the future of customer experiences by delivering market-defining business models, products, services, brand engagements and communications.

Joining frog means youll be joining the pond, a global network of studios, each with a thriving in-person and vibrant virtual culture. frogs are curious, collaborative, and courageous, united by our passion for improving the human experience across our areas of expertise, while each bringing our unique and diverse skills and experiences to the table. We draw on our global reach and local knowledge to solve complex problems and create innovative, sustainable solutions that touch hearts and move markets. frogs prize humour, positivity, and community just as highly as performance and outcomes. Our culture is open, flexible, inclusive, and engaging. Working at frog means being empowered to meet the moment, and Make Your Mark on every project, in your studio, your communityand the world at large.

frog Data

Join our frog data team and help shape the future of data and AI consulting. We help brands unlock the value and power of data and AI through the lense of customer experience. Youll work at the intersection our solutions focus on CX Data and AI, strategy, activation & personalisation, analytics, insights, measurement and advanced data science, turning complex data into transformative solutions that drive real impact. If youre passionate about using data and AI to create smarter, more human experiences, this is your opportunity to lead change and make a difference

An Overview Of The Role

Due to continued growth, were expanding our Data Science capability and are keen to hear from strong candidates at both Consultant and Senior Consultant level.

Were looking for individuals with handson experience in data science who are curious about the fastevolving AI landscape. Youll bring demonstrable, handson experience working with Generative AI (GenAI) and Large Language Models (LLMs), including deliveryfocused development or evaluation work

You may bring experience from one or more areas such as customer behaviour analytics, marketing, commercial, web, or product analytics, and have spent time working within marketing, customer, digital, or commercial domains. What matters most is your ability to apply datadriven insight to real business challenges.

For candidates joining at Senior Consultant level, there will be opportunities to take on greater responsibility for project delivery, stakeholder engagement, and supporting the development of others. For those at Consultant level, the role offers strong exposure to client work, learning from experienced practitioners, and a clear pathway for progression.

We value curiosity, collaboration, and a growth mindset, and we encourage applications from candidates who may not meet every requirement but are excited about developing their skills within a supportive consulting environment

What We Look For

• Data Science & AI Expert Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models.
• CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience. Experience in working with various data sets, including transactional/EPOS, digital, social and loyalty.
• AI Delivery Excellence Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions.
• Programming Experience - Skilled in using programming languages such as Python
• Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning.
• Data Visualisation Experience - Utilise visualisation tools such as Power BI or Tableau to present data insights effectively.
• Collaborative team playe r Collaborate with cross-functional teams to understand business challenges and create valuables products/solutions
• Excellent Communicato r Ability to communicate complex ideas clearly, with excellent written and oral presentation skills, that engages internal and external audiences
• Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space

It Would Be a Bonus If You Have

• Experience in primary growth sectors; CPR (Consumer Products & Retail), ETU (Energy, Utilities, and Telecommunications), and PS (Public Sector).
• Familiarity with Agentic AI development
• Familiarity with ethical considerations and best practices in AI and data science.
• People management skills, including mentoring, guiding, and developing junior team members.

Need To Know

We dont just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained Mental Health Champions across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy

CSR

Were also focused on using tech to have a positive social impact. So, were working to reduce our own carbon footprint and improve everyones access to a digital world. Its something were really serious about. In fact, we were even named as one of the worlds most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, youll join a team that does the right thing.

Whilst you will have London as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini Invent

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

More information is at available at:

Manager, Applied AI Engineering, DeepMind
_corporate_fare_ DeepMind _place_ London, UK
**Minimum qualifications:**
+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
+ 8 years of software development experience, including system design, data structures, and algorithms.
+ 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
+ 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
**Preferred qualifications:**
+ 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
+ Experience with generative AI research or applications.
+ Experience evaluating model performance, analyzing results, and implementing improvements.
+ Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.
+ Experience in developing and shipping software products rapidly.
+ Contributions to open-source projects.
**About the job**
In this role, you will lead the development and deployment of novel applications, leveraging Google's generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and Google customers. You will be instrumental in translating AI research into real-world products, and demonstrating the capabilities of latest generation models. You will be building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. You will drive product and business impact, and develop strong relationships with research teams.
You will be a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
**Responsibilities**
+ Lead a team in the design, development, and deployment of scalable generative AI applications and advocating industry best practices.
+ Lead the team through the rapid development of new features, iterating based on evaluation results while mentoring members to cultivate a collaborative and high-performing environment.
+ Collaborate with researchers and product managers to translate research advancements into tangible product features.
+ Oversee the optimization of software performance and ensure the reliability of deployed applications.
+ Lead the architecture and development of new products and features from 0 to 1.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**The team you'll be working with:**
We are seeking highly skilled and experienced Gen AI specialist to join our dynamic Gen AI COE inside NTT DATA UK&I. The ideal candidate will have a strong background in designing and implementing AI solutions ideally using AWS technology. This role requires a deep understanding of generative AI techniques.
The selected candidate would eventually take on a wider range of responsibilities, within our COE, for example to work on novel projects. The GraphRAG solution is however a good place to start and be a proving ground.
**Please note: You must be eligible for SC (Security Check) clearance to apply for this position.**
**What you'll be doing:**
**Key Responsibilities**
+ Deploy solution into new customer tenant (based on a re-usable method)
+ Onboard customer documents into the solution, including making sure diagrams have been properly parsed.
+ Configure Langchain for vector processing and graph extraction
+ Create agents to generate new outputs from existing knowledge graph
+ Tune prompts so that customers can find the information they are looking for
+ Collaborate with off-shore teams and share knowledge with other AI developers around the world.
**What experience you'll bring:**
**Required Skills and Qualifications: (must have experience)**
+ Technical data engineer with a strong desire and drive to learn new technologies, and to apply these technologies in new spaces
+ Someone with a real technical facility to solve problems without significant oversight or leadership
+ An understanding of AI, and AI ethics
+ An understanding of data safety in use of Large Language Models
+ Knowledge and experience of either AWS or Azure:
+ AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2)
+ Azure (azure Open AI service, Cosmos DB)
+ Python
+ LangGraph
+ Neo4j/cypher
+ Other coding languages/frameworks e.g. Java/.Net
+ AI RAG (retrieval augmented generation)
+ Graph RAG
+ Few shot detection
+ Embedding models/LLMs - how they work, how they are trained
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Back to search Email to a friend Apply now

**The team you'll be working with:**
**AI Architect**
NTT DATA's is at the forefront of AI, working with clients across all sectors to provide AI advisory and solutions that are delivering tangible business benefit. NTT DATA UK already has a phenomenal reputation in this area, we want to go further and faster in 2026. We are looking for AI Architect professionals to join our AI Practice to drive this growth.
As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions.
**What you'll be doing:**
+ Designing and implementing innovative AI solutions that meet client needs and drive business value.
+ Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes.
+ Demonstrating modern AI solutions to clients, showcasing their benefits and applications.
+ Conducting research and analysis to stay updated on the latest AI trends and technologies.
+ Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner.
+ Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively.
+ Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency.
+ Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains.
+ Developing and optimizing AI models using machine learning and AI engineering platforms.
+ Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI.
**What experience you'll bring:**
+ Minimum 6 years in Solution Architecture, with at least 2 years focused on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies.
+ Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact.
+ Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots.
+ Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock).
+ Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment.
+ Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning.
+ Eligibility for SC clearance is required.
**Who we are:**
At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where _you_ grow.
**what we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Back to search Email to a friend Apply now

**The team you'll be working with:**
As a QE AI Engineer & QE Architect, you will have the opportunity of joining an award winning Quality Engineering team that is working on some of the most cutting edge technologies that is embracing new innovations, such as in built quality checks that embraces AI/GenAI & agentic AI across the full SDLC. What is key to this role is the ability to lead and inspire a team, fostering a collaborative and productive work environment.
**What you'll be doing:**
This is a hands on Product building experience that cuts across the full SDLC not just test automation and QE. You will lead the expansion of our existing portfolio of Quality Engineering assets and services. Having strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders is a must.
You will join a highly focused quality engineering team that are experts in driving a AI & agentic AI engineering led approach to driving value for our clients. You are responsible to ensure Shift-Left Testing emphasising early testing in the development lifecycle. You will have experience of multiple Automation Frameworks that support various types of testing.
You will play a key role as an AI mentor and train your team on the latest testing tools and methodologies.
You will always look for ways to drive SDLC efficiencies and to improve the quality engineering approach. You will have knowledge on capturing the value created through defining and tracking quality metrics.
**What experience you'll bring:**
+ Extensive experience as a Senior QE SDET Engineer or Senior Developer
+ Has breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst others
+ Experienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and Django
+ Experienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)
+ Hands-on Product building experience that cuts across the full SDLC - not just test automation and QE.
+ Experienced in building RAG system with a nice-to-have on fine-tuning LLMs
+ Cleaning/augmenting data
+ Comfortable with IAS (Infra As Code) eg. giving a high-level spec
+ Fully understands test automation (across platforms and functional/non-functional) and associated tech
+ Presentation skills - C-Suite clients and in-house
+ Mentoring - non-AI SDETs
+ Innovation - art of the possible
+ Experienced in Junit, Jest, PyTest, NUnit, Appium, WDIO, Selenium, Cypress, BrowserStack, Swagger, WireMock, Postman et al
+ Development frameworks: Spring, Angular, .NET, Node et al
+ CI/CD: Jenkins, GitLab CI/CD, Docker/AWS, Azure DevOps
+ Databases: SqlServer, MySQL, Oracle, MongoDB, H2
+ BDD: Cucumber, FitNesse, SpecFlow, RestAssured, EasyB et al
+ Performance: Gatling, JMeter, WebPageTest, LightHouse
+ Security & code quality: SonarQube, Jacoco, PiTest, OWASP, Axe et al
+ Hands on software test automation, ideally founded on a background as a senior Developer
+ Experienced in building a strategy covering all aspects of the SDLC process, development, automation, CI, and metrics
+ Hands on using Spring Java, Angular, Python, GitLab CI/CD, Junit, Jest, Cucumber, Bash, Gatling et al
+ Experienced in helping teams evolve an Agile 'Shift Left' way of working
+ Experience of building advanced and feature rich test automation frameworks from scratch using Object-oriented and scripted languages 
+ Has a depth of knowledge in the Object-oriented Programming paradigm (OOP) and has practically applied the principles 
+ Comfortable working with Git repositories and workflows on multiple tasks concurrently
+ Ability to manage and lead code review processes, mitigate conflicts within the team and get quality work merged in the main branch
+ Proactively collaborate with the Front-end development team, understand the design of the Front-end and discussing issues with the developers to better understand requirements and expectations 
+ Understanding of CI/CD pipelines and their importance in Automation Testing process 
+ Understanding of non-functional requirements and testing, with a focus on performance (but also accessibility, compatibility and aspects of security)
**Nice to have**  
+ MCP, Django and nice-to-have Entra/Gunicorn
+ GitHub Actions, GitLab pipelines, Azure DevOps pipelines, Jenkins (any experience on these will be beneficial)
+ AWS experience 
+ Experience with any of these tools: Cypress, Playwright, Webdriver.io (but with strong experience in Selenium)
+ Understanding (better experience) with Contract Testing frameworks (preferably PACT)
+ Experience setting up E2E testing frameworks with automation in mind, covering all the aspects of the SDLC
**Who we are:**
At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where _you_ grow.
**what we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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**About this role**
The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence - playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.
He/She/They lead a multi-team organization of AI agent engineers and data scientists - setting technical and delivery direction, building the team's capability, and holding accountability for the production systems powering the commercialized knowledge products.
He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering - bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.
He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.
He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow - developing high-performing teams and creating the conditions for others to do their best work.
This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.
Roles & Responsibilities
+ Lead a team of AI agent engineers and data scientists - setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.
+ Own end-to-end solution design & delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows - ensuring consistency, quality, and strategic alignment at scale.
+ Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity
+ Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work
+ Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering - influencing product vision & feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.
+ Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.
+ Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.
+ Define and enforce quality standards for user story delivery - including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements
+ Lead post-implementation validation efforts - coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes
+ Support product activation and customer adoption - translating delivery milestones into customer-facing readiness for data/knowledge product rollout
+ Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products
+ Lead complex, cross-functional AI initiatives from discovery through delivery - managing dependencies, risks, and stakeholder expectations across teams.
+ Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.
+ Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale
+ Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization
+ Build and mentor a high-performing team of AI agent engineers, and data scientists - driving hiring, onboarding, performance management, and career development at scale
+ Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales
Required Skills & Experience
_Technical Skills_
+ Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.
+ Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features - ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.
+ Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)
+ Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour
+ Fluency in the AI product development lifecycle - extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring
+ Solid understanding of evaluation approaches for AI outputs - accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking
+ Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.
+ Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products
+ Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations
_Non-Technical & Interpersonal Skills_
+ Executive-level communication skills - able to operate fluidly between engineering stand-ups and boardroom strategy conversations.
+ Excellent communication and stakeholder management skills - able to drive alignment across product, commercial, engineering, and domain-expert audiences
+ Strong strategic thinking - able to connect present engineering decisions & strategy to long-term commercial positioning of AI knowledge/data products.
+ Strong analytical and structured problem-solving approach - breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward
+ Emotional intelligence and people-first leadership style - able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.
+ Business acumen - understands the fundamentals of financials services industry and/or software/data product business, and how product output quality & timeliness directly affects customer trust and revenue.
_Leadership & Ownership_
+ Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.
+ Demonstrable experience influencing product vision and feature strategy at the leadership level - shaping what gets built, not just how.
+ Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.
+ Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.
+ Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.
+ Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability - or team sustainability - are at risk
+ Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.
+ Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.
+ Ability to hold the bar on quality and delivery while advocating for the team - protecting focus, escalating constraints, and making hard prioritization calls
+ A builder-of-builders mindset - measures success by the capability and culture left behind, not just the features shipped.
What This Role Offers
+ Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems & knowledge product portfolio - with meaningful autonomy and ownership.
+ Direct influence over organizational direction - working closely with executive leadership on product vision, hiring, and operating model decisions.
+ A meaningful seat at the table in shaping product & engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities
+ A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads - creating lasting capability in commercialized AI.
+ Direct exposure to emerging AI capabilities - multi-agent orchestration, GenAI, Vision AI - applied to real commercial problems at scale.
+ A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**Guidance on AI use for candidates**
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided **guidance** on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

**The team you'll be working with:**
We are a leading systems integrator and consulting multinational, dedicated to delivering innovative solutions in Data & AI. Our mission is to empower businesses with cutting-edge technology and data-driven insights. Data and AI are key growth areas for us in the near and medium term, and we are increasing our delivery capability.
Leads the execution of profitable professional data and AI delivery for NTT DATA and clients. The role will align on delivery approach, tools and processes with other accounts, sharing good practices and supporting technology solutions initiatives where relevant. Accountable for ensuring quality, timing and financial delivery objectives are met by the team.
The role reports to the head of Delivery for Data and AI, works closely with Data Practice Heads, client partners, client delivery directors and leads the execution team.
**What you'll be doing:**
**Leading teams from 15 - 75 people.**
+ Responsible for delivery of a large and complex programme, or a few medium sized projects simultaneously from inception to outcome delivery
+ Used to dealing with C suite and senior client stakeholders to set and manage expectations
+ Manages multiple delivery teams via lower-level delivery staff for example scrum masters/agile delivery leads, project managers.
+ Works closely with other practices such as platform, security, managed services and testing to deliver end to end solutions for clients and manage the various dependencies
+ Manages across onshore and nearshore or offshore teams.
+ Comfortable in leading services delivered from client locations integrated with staff from NTT DATA locations.
+ Comfortable in T&M, Fixed capacity and Fixed Price engagements.
+ Comfortable with all aspects of programmatic including planning, resource management, dependency and risk management, commercials and forecasting.
+ Experience in business development and sales and able to support opportunity qualification and bid reviews prior to submission to ensure they are robust and deliverable.
**What experience you'll bring:**
Minimum of 10 years of experience in delivery management, with at least 5 years working with data or AI technologies, in high scale/high distribution/enterprise level systems/tech on supply side,
You will be an experienced Technical Delivery manager delivering data and/or AI solutions in both an Agile and hybrid environment. You will have experience of working on and leading larger Programmes of Data work or complex Data projects and as a result will be able to demonstrate both Programme and Project management skills and track record.
**Responsibilities and Accountabilities:**
+ The technical delivery manager is primarily responsible for:
+ Management of demand planning, forecasting, budgeting and prioritisation of project work within the team
+ Define, lead and monitor all team delivery ensuring adherence to delivery methodology, quality and architectural principles, to deliver business goals and minimise technical debt.
+ Point of escalation from client's perspective for delivery issues
+ Effort estimation: Organise, review and assure effort estimates for technical work, either for bids or on projects
+ Reporting: Prepare internal and external project reports which provide the necessary MI, and help to steer behaviour.
+ Governance: Organise and drive project governance internally and externally
+ Risk management: Identify, track, communicate and manage risks, measure value and make judgments to minimise costs and delays.
+ Dependency management: Identify, track, communicate and manage dependencies, measure value and make judgments to minimise costs and delays.
+ Stakeholder management and communication: Manage client stakeholders to ensure alignment of the project to the customer and the customer to the project to ensure smooth delivery
+ Driving Agile and hybrid projects: Organise, facilitate and run agile ceremonies, modifying them to meet client and project needs.
+ Project ownership: Be the controlling mind who keeps track of all the details, drives the project identity and success from beginning to end - own the entire project lifecycle.
+ Delivery: Get projects delivered, ensure quality, and get formal acceptance of deliveries and deliverables.
+ Assurance: Able to provide delivery assurance on assignments as required to help build quality and confidence in delivery
**Technical Delivery Manager Skill/Capability Requirements:**
+ Strong expertise in delivering large programmes, complex projects or multiple simultaneous projects with Data and/or AI technologies and methodologies, in high scale/high distribution/enterprise level systems/tech on supply side
+ Leadership and team management skills; the ability to lead and coach managers
+ Experience building and running teams across multiple locations on the same programme, and cross site teams with members onshore, nearshore and offshore
+ Experience of working in multi practice engagements to deliver end to end solutions covering platform, testing, security and managed services
+ Proven ability to build and maintain senior client relationships (internal and external) to navigate difficult situations and conversations
+ Excellent communication and presentation skills, concisely providing key information about project progress and benefits to senior customers.
+ Cross site, and multi-shore delivery experience.
+ Architecture - some understanding of application architecture, data architecture, infrastructure and business process.
+ Leadership - strong interpersonal skills and ability to influence stakeholders at senior level.
+ People Development - understanding and track record of people and team development, including growing leaders and managers.
**Must possess active security clearance or have previously been cleared to SC level.**
**Education and Experience:**
+ Bachelor's and/or master's degree in computer science, Engineering or related technical discipline
+ 10+ years of professional IT delivery covering all disciplines
+ Strong knowledge of the entire software development lifecycle and strong experience in delivery of data and/or AI projects
+ Significant experience with agile and hybrid development methods.
+ Has led multiple large (~£10m per year) technical programmes incorporating data and/or AI engineering and data and/or AI technology implementation.
+ Experience of leading agile teams. Ideally beginning in a technical engineering discipline and moving through assignments to larger scale and technically complex environments.
+ Experience leading, coaching and developing people, teams and adoption of latest techniques
+ Experience in delivery of enterprise level distributed/scalable systems
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
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Gen AI Engineer - London Reference Code: -en_GBContract Type:PermanentProfessional Communities: Data & AI

Job Title: Gen AI Engineer

Exp Required 8 years Plus

Location: London

About the Job you are considering:

We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms.
You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Key Responsibilities :

1. GenAI & LLM Engineering
Design and implement end-to-end GenAI pipelines using LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)
Build RAG (Retrieval-Augmented Generation) architectures with vector databases (e.g., Pinecone, FAISS, Azure AI Search)
Fine-tune, evaluate, and optimize LLM outputs (prompt engineering, embeddings, guardrails)
Develop AI solutions for:
Financial document processing (contracts, KYC, trade docs)
Regulatory compliance automation
Conversational AI/chatbots for banking use cases

2 . Data Engineering & Platform Development

Build scalable data pipelines using tools like Spark, PySpark, Databricks, Snowflake, or BigQuery
Design data lakes/lakehouse architectures on AWS/Azure/GCP
Integrate structured and unstructured data (market feeds, transaction data, PDFs, emails)
Implement real-time and batch processing frameworks

3. Cloud & MLOps
Deploy and manage GenAI solutions on cloud platforms (Azure preferred for financial services)
Implement CI/CD pipelines, monitoring, and governance for AI systems
Use frameworks such as:

MLflow
LangChain / LlamaIndex
Kubernetes / Docker
Ensure scalability, reliability, and security in production environments


4. Financial Services Domain Integration
Work with business stakeholders to build solutions aligned with:
Risk & compliance (Basel, AML, KYC)
Trading & portfolio analytics
Fraud detection & anomaly detection
Ensure adherence to regulatory and data privacy standards (GDPR, FCA, etc.)


5. Data Governance & Responsible AI
Implement data lineage, quality, and governance frameworks
Apply Responsible AI principles:
Bias detection
Explainability
Auditability
Ensure secure handling of sensitive financial data

Required Skills & Experience
Technical Skills
7+ years in data engineering / AI engineering
Strong Python and SQL expertise
Hands-on experience with:
LLMs and GenAI frameworks (LangChain, LlamaIndex)
Vector databases & embeddings
Spark / Databricks / distributed computing
Experience in REST APIs and microservices architecture

Cloud & Tools
Cloud: Azure (preferred), AWS, or GCP
Data platforms: Snowflake, Databricks, Delta Lake
DevOps: Git, CI/CD tools, Terraform (optional)
Containerization: Docker, Kubernetes

Financial Services Experience
Proven experience in:
Banking / Capital Markets / Insurance / FinTech
Knowledge of:
Market data, trade lifecycle, risk systems, or regulatory reporting
Exposure to:
KYC/AML, compliance workflows, fraud systems (highly desirable)

Preferred Qualifications
Experience with Azure OpenAI / Copilot / Microsoft Fabric
Knowledge of knowledge graphs and semantic search
Exposure to stream processing (Kafka, Event Hub)
Certifications:

Azure Data Engineer / AI Engineer
AWS Data / ML certifications


Experience leading teams or mentoring engineers


Soft Skills
Strong problem-solving and analytical skills
Ability to translate business requirements into technical solutions
Excellent communication and stakeholder management
Experience working in agile environments

Nice-to-Have Use Case Experience
Intelligent document processing (IDP)
GenAI for financial research summarization
Automated report generation (earnings, compliance reports)
AI copilots for analysts/traders

We are a Disability Confident Employer:

Capgemini is proud to be a

Declare they have a disability, and

Meet the minimum essential criteria for the role.

Please opt in during the application process.

Make It Real (what does it mean for you):

• Youd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
  To help support wellbeing we have trained Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
• You will be empowered to explore, innovate, and progress. You will benefit from Capgeminis learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
• You will be joining one of the Worlds Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.

Why you should consider Capgemini :

Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, youll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, youll build the skills you want. Youll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini:

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.
Make it real |