Why we’ve partnered with Women in data…

Diverse perspectives are essential to shaping the future of data and AI. With our long-standing partnership with Women in Data®, we champion women across the industry, create opportunities, and use our expertise to make an impact beyond our client work.

From increasing the visibility of women in data and AI to supporting important work in women’s health, our partnership continues to evolve alongside our industry.

Using Data and AI to advance women’s health

Together, we use our expertise to tackle some of the challenges disproportionately affecting women’s health.

Through the Women’s Health Initiative, Kubrick specialists have worked alongside Women in Data®, researchers, and charities to explore how data and AI can help address gaps in research and improve outcomes. This includes supporting research at UCL into systemic bias in women’s health, where our team helped develop a GenAI tool to identify sex bias in medical research and accelerate analysis from months to hours.

This work led to us being named Women in Data ® Partner of the Quarter in 2025 and also resulted in us being shortlisted for the DataIQ Data and AI for Good Hero Organisation Award.

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“What started as a shared commitment to improving representation has become an opportunity to create real impact – championing women across our industry, opening doors for our people, and using our data and AI expertise to tackle important challenges like women’s health.”

Simon Walker, Chief Commercial Officer and Co-Founder, on our partnership with Women in Data

Celebrating women at Kubrick

In 2025, our own Mirela Gyurova was named one of Women in Data®’s Twenty in Data & Technology, recognising 20 inspirational women making an impact across the industry.

Mirela was recognized for her leadership and impact across data and AI, including the leading role she has played in our Women’s Health Initiative – using data and AI to help tackle systemic challenges and improve outcomes for women.

Mirela – Twenty in Data

spotlights

Izzy Becker headshot
Izzy Becker
Marija Milojevic headshot
Marija Milojevic
Jila Bahri headshot
Jila Bahri
Celina Gibson headshot
Celina Gibson
Ailis Dale edited headshot (1)
Ailis Dale

How Kubrick see the data landscape changing in the UK in the next 5 years

As investment in AI continues to grow, we expect the focus to shift increasingly from adoption to value. Organizations will face greater pressure to demonstrate tangible returns from their AI investments, moving beyond experimentation and isolated productivity gains towards solutions that address complex business challenges and deliver measurable impact at scale.

At the same time, the rapid acceleration of AI is reshaping the skills organizations need, while reduced investment in junior talent risks creating capability gaps for the future. Organizations will need to think not only about how they access the specialist skills required today, but how they build and sustain those capabilities over the longer term.

Over the next five years, success will increasingly depend on bringing these two priorities together: deploying proven, repeatable AI solutions that generate measurable value, while developing the technical capability needed to implement, scale and sustain them.

Kubrick is uniquely positioned to bridge that gap, helping organizations realize greater value from AI today while building the skills and capabilities they need for the future.

about Kubrick

Kubrick is an award-winning data and AI consultancy helping organizations turn AI ambition and technology investment into measurable business value.

We design, build and deploy AI solutions that solve real-world enterprise challenges, moving organizations beyond experimentation and into production. Our approach combines deep technical expertise, proven and repeatable solutions, and strong technology partnerships to help clients improve performance, reduce risk and unlock new opportunities for growth.

Our AI solutions span four key areas:

  • AI-ready workforce: Build the skills and capability needed to adopt, embed and scale AI successfully across the organization.
  • Data intelligence: Turn complex and fragmented data into trusted, AI-ready foundations that organizations can rely on.
  • Decision intelligence: Transform data and insight into faster, better-informed decisions and actions.
  • Adaptive intelligence: Help organizations identify opportunities earlier, respond to changing conditions and continuously improve performance.

Across each of these areas, our focus is on delivering value that can be seen and measured. We work with clients from initial challenge through to deployment and scale, embedding solutions into existing environments and building the internal capability needed to sustain and evolve them over time.

Our technology partnerships are integral to how we deliver this. As a Databricks Gold Partner and Snowflake Elite Partner, we work closely with leading technology providers to accelerate AI adoption, integrate solutions into complex enterprise environments and help organizations realize greater value from their technology investments.

People are also central to our approach. Alongside delivering AI solutions, we identify and develop high-potential talent in the skills organizations need most. This helps clients address immediate capability gaps while building the workforce resilience and internal expertise needed to sustain AI adoption over the long term.

We are committed to addressing the gender imbalance that persists across technology and AI. Today, 38% of Kubrick employees identify as female or non-binary, above the wider UK technology industry average. Through our approach to hiring and development, alongside partnerships such as Women in Data, we continue to create opportunities for underrepresented talent to build and progress careers in data and AI.

When the covid-19 pandemic ended Izzy’s short career in literary agenting in 2020, she pivoted into data and technology consulting with Kubrick Group. She arrived with a degree in English Literature, fluent in the power of language and storytelling, and a total stranger to anything data, programming, computing, or technology related.

But she loves a challenge.

Since then, Izzy has built a technical, commercial and leadership skillset she once thought wasn’t possible for her. Previously a perfectionistic twenty-something who doubted her place in the intimidating, male-dominated worlds of both data and consulting, every year has seen her confidence grow, both personally and professionally.

In 2024, she relocated to New York City to help build out Kubrick in North America. It was in this chapter that Izzy reconnected with her love of dance, and found it changing her again, just as moving into data & tech had.

In 2026, Izzy started to share her story: how dance was changing her confidence, creativity, innovation as a problem-solver, and presence. She appeared as a guest speaker for NYC tech industry events, taught a sold-out ‘Intro to Heels’ dance class for women as part of New York Tech Week, and featured on Women in Data’s podcast “You don’t have to leave yourself at the door”.

Working as a woman in data means a lot to Izzy. It represents the belief she has built in her value, the courage she has had to be her authentic self, and the determination she has developed to reach her goals.

Today, Izzy leads data insights & AI strategy for Kubrick’s Financial Services and Insurance clients, spends her 5-to-9 training to be a dancer, and somehow manages to get her 8 hours rest in the city that never sleeps.

Jila leads Consulting in the US at Kubrick Group, where she helps organisations turn Data and AI into meaningful, scalable business value. Her career has centred on translating data and emerging technology into real-world outcomes. During the COVID-19 pandemic, she led cross-government, multidisciplinary teams developing and deploying new diagnostic products at national scale, helping make lateral flow tests a widely used household product across the UK. She also led the development of the digital solution for reporting test results, alongside an AI-enabled reader designed to detect the presence of COVID-19 better than the human eye.

Jila’s route into Data and AI was not a traditional one. She first discovered the power of data early in her career in publishing, using it to inform commercial decisions across sales, pricing and inventory and significantly improve margins, before moving into consulting and increasingly working at the intersection of business, data and technology. That journey shaped her belief that Data and AI should be accessible, and that the opportunity to understand, use and create value from them should not be reserved for those with traditional technical backgrounds. She is passionate about democratising AI safely: equipping people and teams with the skills and confidence to engage with it, while building an understanding that trusted AI starts with strong data foundations, governance and a clear connection to the insights, decisions and ROI it is intended to enable. She is equally passionate about widening routes into the industry and ensuring diverse perspectives, particularly more women, have a meaningful voice in shaping how Data and AI are designed, governed and used.

Marija’s passion for technology began with programming and her first university courses in databases and SQL. This developed into a degree in Computer Science, a PhD in Artificial Intelligence and published scientific research, before she moved into management consulting. Over more than a decade, she has worked across data, AI, cloud, automation and digital transformation, starting with the delivery of complex client projects and progressing to leading teams, major engagements and commercial opportunities.

Today, Marija leads Kubrick’s global Applied Technology business, shaping its strategy, capabilities and commercial direction while overseeing its people, delivery governance and operational performance. Her leadership is grounded in practical delivery experience and an understanding of what it takes to turn innovative ideas into tangible business outcomes.

For Marija, being a woman in data means having the technical credibility and confidence to influence important decisions while helping to grow the next generation of data and technology leaders. She believes that moving into leadership does not make women any less technical. Instead, it enables them to apply their expertise more broadly by shaping data strategy, guiding investment and influencing how data and technology are used.

As data becomes increasingly central to how organisations operate, innovate and make decisions, Marija believes they need leaders who combine technical experience and data literacy with commercial and strategic judgement, enabling informed executive decisions about both its opportunities and risks. She is passionate about sharing what she has learned, helping more women recognise their strengths and creating opportunities for them to fulfil their potential and build rewarding careers in data.

Celina is an enthusiastic technical leader who has a clear passion for creative problem-solving and nurturing diverse perspectives in the Tech industry. Her interest in data began through a Code First for Girls programme at university, which highlighted the importance of diversity in data, and sparked an appreciation for how integral both creativity and logic are to building better data solutions.

Over the past six years building a career as a Data Engineering Consultant, Celina has successfully delivered complex, high-impact solutions across multiple sectors including Life Sciences, Consumer Goods, Insurance and Finance, by translating business requirements into technical architecture, leading multi-disciplinary teams and engaging with senior stakeholders.

Celina has worn many hats – Data Engineer, Tech Lead, Analytics Engineer, Scrum Master and Business Analyst – giving her a broad perspective that has allowed her to take confidence ownership of end-to-end deliveries. She has led and designed solutions across a range of tech stacks, including architecting event-driven APIs and near real-time applications on GCP, building Snowflake and dbt-based digital solutions that support Sustainability and Lean Manufacturing across 27 global manufacturing sites, and automating business-critical financial reports in AWS and Azure that saves days of manual work each month. She is motivated by building robust, trusted data solutions that reduce manual effort, improve decision-making and create lasting organisational value.

Ailís has spent her career working across business analysis, agile and data transformation, helping organisations use data more effectively to solve business problems and make better decisions. She now leads complex data and AI programmes, bringing together business and technical teams to deliver meaningful change.

Working as a woman in data means helping to increase visibility and representation within the industry. Ailís is passionate about mentoring women in data and technology, and has shared her experiences through industry events including Women in Data and the IRM Business Analysis Conference to showcase the diverse leadership paths available within the profession. She believes that the more diverse voices we have shaping data, technology and AI, the better the outcomes will be for everyone. While gender representation remains important, Ailís is equally passionate about creating space for people from different backgrounds, experiences and perspectives to contribute and thrive.

She believes innovation happens when teams bring together a broad range of viewpoints, challenge assumptions and learn from one another. Through mentoring, speaking at industry events and leading diverse teams, Ailís is committed to encouraging different perspectives and helping more people build rewarding and successful careers in the industry.

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