about Capgemini

We partner with companies to transform and manage their business by unlocking the value of data and technology.

As a leading strategic partner to companies around the world, we have leveraged data and technology to enable business transformation for more than 50 years. We address the entire breadth of business needs, from strategy and design to managing operations. To do this, we draw on deep industry expertise and a command of the fast-evolving fields of cloud, data artificial intelligence, connectivity, software, digital engineering, and platforms.

Why we’ve partnered with Women in data…

At Capgemini, we’ve partnered with Women in Data to join the movement and be a force for positive change in the data and analytics industry. We champion this platform for women, gender diverse professionals and our allies to amplify their voices and foster inclusive environments for realising untapped potential.


Our Collaboration

Joint publication between Women in Data and Capgemini Invent

Data-driven action to close the gender health gap

Capgemini Invent has collaborated with Women in Data® to address the gender health gap. The partnership generated a ground-breaking policy paper that argues for major shifts in data collection and analysis to combat growing gender inequality in healthcare. By gathering insights from data and health experts, the paper aims to guide policymakers and practitioners in utilizing data to improve women’s health, outlining key challenges and recommendations. This publication marks a critical stage, setting the direction for more extensive research and discussions to unlock data’s potential in enhancing women’s healthcare.

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We have a range of expertise in different areas of Analytics and AI led by inspiring women with different backgrounds and profiles

Expertise: Analytics & AI Strategy and Transformation

Education: PhD Historical Studies


After initially exploring careers in music and art, Elisa found her passion in data’s organizational and societal value. She has led numerous data, analytics, and AI programs across various sectors and these diverse experiences have shaped her values and determination to achieve her objectives, whilst also giving her the space to balance family and personal life. Currently part of Capgemini Invent’s Analytics & AI leadership, she focuses on advisory and strategy projects. Elisa’s approach combines technical expertise with a deep understanding of organizational needs, ensuring that her projects deliver meaningful and sustainable impact across both public and private sectors. Elisa is a strong advocate for gender diversity in data, sponsoring the Women in Analytics & AI community and Capgemini’s partnership with Women in Data.

Expertise: Data Management, Strategy, Analysis, Storytelling and workshopping

Education: MSc Applied Statistics, BSc Mathematics and Statistics


Diana has worked across various sectors but always with a focus on data. Data has always been at the core of what Diana does, and in 2018, she was named ‘Twenty in Data and Tech’ by Women in Data and The Female Lead. She has spoken at numerous data and tech events and was listed in Data IQ’s top 100 influential people in Data in 2020 and 2021. Currently part of Capgemini Invent’s AI and Advisory team, Diana spearheads efforts to empower women in the Women in Analytics and AI community, promoting career growth and empowerment. Her recognition and contributions to the field underscore her commitment to advancing data literacy and supporting the professional development of women in technology.

Area of expertise – Analytics & AI for Retail & Consumer Products

Education – BA (Hons) Business Information Systems | Chartered Management Consultant


From the age of 14, Claire dreamed of working in “Business & Computers,” aspiring to travel the world with her laptop. Her 14-year-old self would be delighted at where she’s ended up, and she’s really hoping her 8-year-old niece follows suit! Claire developed an early buzz for retail, enjoying the immediate impact her actions have on someone’s day. She worked at Sainsbury’s from age 16, eventually leading their MI Transformation. Following that she spent 11.5 years at IBM and then joined Capgemini Invent as VP for CPG & Retail in Analytics & AI. Claire also co-leads Girls in Data, inspiring young people to pursue data careers. Women in Data have done so much for her, she wants to make sure that Women & Girls can benefit from this uniquely fantastic network.

Area of expertise: Data Strategy, CDO Advisory, Data Management, Data Transformation

Education: MBA, Bachelor of Business Management (Finance & Econometrics)


Vanessa partners with senior executives to solve business problems using technology and analytics. She helps develop analytics capabilities and improve data value, leading initiatives that drive innovation and efficiency. Vanessa’s strategic insight and leadership skills have been instrumental in guiding organizations through complex data transformations, ensuring they remain competitive and forward-thinking in a rapidly evolving landscape. As Head of Chief Data Office Advisory and Data Management, she aligns technology with data strategies, empowering organizations to thrive. Vanessa proudly leads the Women in Analytics and AI community, promoting diversity and transforming the future of data-driven innovation. Her work fosters a network that breaks barriers and champions the value of diverse perspectives in the analytics field.

Area of expertise: Supply Chain Analytics and Product Management.

Education: BSc Biochemistry


India has experience in the pharmaceutical, retail and consumer products sectors working across management consulting and industry positions. Her passion lies in utilizing data to unlock value across long and complex supply chains, having lead supply chain analytics transformation programs to drive supply chain efficiency and agility. India leverages her combination of analytical and soft skills to identify and articulate insights for clients, acting as a boundary spanner between the supply chain business and technical teams. Internally India is passionate about building a sense of community at Capgemini, leading active inclusion initiatives and her team’s Community & Wellbeing group.

Expertise: Data Analytics, Visual Analytics and Business Intelligence

Education: MSc Research Methods in Psychology, BSc (Hons) Psychology


Ria brings a people-focused mindset to the field of data and analytics, recognising that true enterprise value from data can only be realised if the topic is made less intimidating for individuals. She brands herself as a ‘data cheerleader,’ and combines her enthusiasm with four years of expertise in visual reporting and insights generation across several sectors. She is keen about representation of different groups at the organisational level. She helps to foster a sense of belonging and wellbeing within the Women in Analytics & AI group by leading the socials stream.

Area of expertise – AI & Analytics Strategy

Education – CA , BSc (Hons) International Business & French


Joanne is an AI & Analytics leader whose focus is on advising clients across multiple sectors on how to unlock value from their data using AI & Analytics solutions. Her consulting background spans across consumer product and retail loyalty. Her work has taken her all over the world across Europe, USA, Southern & Central America, South East Asia, and Australia. She is also a qualified Chartered Accountant with prior experience in the Big 4.

In addition to this, she has a passion for travel, scuba diving and generally exploring the world, although all that has gone on hold not only due to Covid19 but also the arrival of a gorgeous baby boy and black Labrador puppy.

Area of expertise (eg. Data Transformation) – Data Governance & Management | Digital Transformation | Data Migration | Data Culture | Data Literacy

Education – AAT – Association Of Accountancy Technicians


Liz is a senior data leader and mentor with global experience in consulting and industry. Liz’s work focuses on empowering organizations to unlock the potential of data through leadership, fostering a culture of capability and curiosity. This has ultimately led to improved decision-making, innovation, and competitiveness. Bringing data to life and making it relatable for all, she brings a depth and breadth of experience in advising organisations on data initiatives like digital transformation, data migration, data mesh, data fabric, corporate compliance and data culture. Beyond her corporate work, she maintains a data blog with over 100 posts, serves as a Non-exec Director, STEM ambassador, and enjoys gardening.

Expertise: Data Strategy, Digital Transformation

Education: MSc Analytics and Management, BA Economics


Rakshita is a senior consultant within the Analytics & AI Advisory practice and primarily works clients in the private sector (with a focus on the financial services industry), helping them define their strategy for using data and implementing digital transformation. Her expertise lies in strategic thinking, planning and management and she excels in being the bridge between the technical and business teams. Her vision is to empower businesses by transforming data into insights. Prior to consulting, she worked in industry analysing customer data and applying those insights to marketing campaigns for a cash & carry firm. As Marketing lead for the Women in Analytics and AI community at Capgemini, Rakshita is passionate about showcasing the achievements and contributions of women in data.

Area of expertise – Data Management, Applied Analytics & AI

Education – BSc Information Management for Business | Postgraduate Certificate in Education, Computer Science


Ffion began her career as a computer science teacher before transitioning to consulting, where she enjoys the wide range of exposure to different clients and data challenges.  She has worked on projects across the private and public sectors, promoting the effective application of data and analytics to drive business value.  Her passion lies in the consumer products and retail sector, with a keen interest in practically applying eCommerce insights. Since her teaching days, Ffion has advocated for addressing the gender gap in the data and technology industry and is a proud member of the Women in Analytics and AI community within Capgemini Invent.

Area of Expertise: Data, Analytics & AI

Education: MSc Data Science


Olivia has always had a clear passion for the technology sector and embarked on her career by delving into SAP development. She soon discovered her true love and interest in data, and decided to pursue a master’s degree in Data Science. Concurrently, Olivia worked as an Analytics Developer, further nurturing her enthusiasm for analytics, databases and machine learning. Olivia enjoys tackling challenges in the industrial sector, driving efficiency and productivity through innovative solutions. Olivia is also deeply committed to addressing the gender gap in the tech industry. In particular, she often teaches coding courses tailored to empower women and foster their interest in technology. Through her efforts, Olivia strives to inspire women to embark on successful careers in tech, making a positive impact on the industry’s landscape.

Area of expertise – Data Science

Education – MSc Health Data Analytics and Machine Learning


Imy is a data science consultant, and has previously worked in startups in both healthcare and sports technology. She first got into data and statistics in her biology degree, preferring coding to fieldwork. Currently she works in the energy and utilities sector, help organisations migrate their data science processes to the cloud. Imy teaches the Python and Apps course with Code First Girls, as part of her ambition to see more women join data careers. Outside of work, Imy can be found cycling, volunteering as a scout leader, or supporting the Arsenal women’s team.

Area of expertise – Data Science, Data Engineering, Visualization

Education – Mathematics MMath (Hons), University of St Andrews


Angelica is a Data Scientist with over 5 years’ experience in providing AI & Analytics consulting services to clients across various industries, including CPRD and Energy & Utilities. She works closely with clients to innovate and deliver scalable, data-driven solutions that redefine business processes. Known for her hands-on approach, Angelica enjoys the challenge of unravelling complex data and transforming it into actionable insights that drive impactful decisions. Angelica is passionate about learning and enjoys sharing her experience with others. She empowers women to embark on successful careers in the tech domain as an instructor with Code First: Girls.



Elisa Sai, Vice President (Analytics and AI)

Diana Akanho, Managing Consultant

Claire Williams, Vice President (Analytics and AI)

Vanessa Fernandes, Head of Chief Data Office Advisory

Rakshita Sahai, Senior Consultant

Ffion, Senior Consultant

Joanna, Principal Solution Architect

Liz, Executive Advisor

Imy, Consultant

Angelica, AI Engineer Lead

Olivia, Senior SAP AI & Analytics Developer

“At Capgemini Invent, we believe in a workplace where everyone feels valued for who they are. By fostering an inclusive culture, we are building a place where our people can grow and thrive.A diverse workplace is at the forefront of this transformation, bringing unique experiences and insights to the table and paving the way for transformative insights and innovation.”

-Alex Slater, Managing Director, Capgemini Invent UK

How Capgemini Invent see the data landscape changing in the UK in the next five years

The Data and Analytics market is continuing to grow exponentially and is expected to reach over $448 billion by 2027. The data imperative is fuelling investments on data ecosystems, Cloud and AI solutions and more recently generative AI. But to unlock the real power of data organisations there needs to be more than solely building technology and AI products.

A robust data culture and literacy need to take higher priority. Increased demand for data specialists will require refining the workforce’s strategy, developing the right structures and cultures within organisations to enable employees to grow and progress in a diverse and innovative environment.

From a service perspective, personalised services will drive demand and consumers will need to build trust in the companies to which they provide their information. Transparency about how consumer data is used, as well as their ability to interact with their own data, will help to strengthen these relationships.

Finally, and of huge importance to us is that the sustainability agenda becomes more embedded into core businesses and operations. Data-powered intelligence will be key to help organisations successfully drive their sustainable transformations, from commitments to action.