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Data and Analytics Talent Landscape in the UK: Insights for 2024

In the ever-evolving landscape of technology, one of the most crucial assets for any organisation is its talent pool, particularly in the realm of data and analytics. We are almost one quarter into 2024 and the demand for skilled professionals in emerging technologies, especially in AI and GenAI, continues to soar. With the proliferation of GenAI tools across industries, the need for adept individuals who can design and implement AI solutions is becoming increasingly critical.
In this blog post, we delve into the current state of the data and analytics talent market in the UK, exploring key themes and providing actionable recommendations for organisations aiming to attract and retain the best talent.

Key Themes

1. Demand for Emerging Technologies

In 2023, the UK witnessed a significant surge in the demand for workers skilled in emerging technologies, particularly AI and GenAI. According to a report by TechUK, the UK's technology trade association, the adoption of AI technologies across industries is expected to continue unabated, driving the need for specialised talent. This trend aligns with global projections, as outlined in a study by Gartner, which forecasts that by 2024, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity.

Commenting on this trend, Hugh Simpson, Data & AI Strategist and co-founder of Oktet notes, "The demand for AI talent has been steadily rising over the past few years, and we anticipate this trend to accelerate in 2024. Organisations across all sectors are recognising the transformative potential of AI and are keen to harness its power."

2. Impact of GenAI Tools

Another significant theme shaping the talent market is the widespread adoption of GenAI tools, which are poised to revolutionise various industries and drive productivity gains. A recent report by McKinsey highlights that GenAI tools, powered by advancements in natural language processing and machine learning, have the potential to automate repetitive tasks and augment human capabilities across diverse functions, from customer service to supply chain management.

Hanna Podopryhora, Head of Talent Sourcing at Oktet, emphasises the implications of GenAI tools for talent acquisition, stating, "As GenAI tools become more pervasive, organisations need talent that can leverage these technologies to drive innovation and efficiency. There's a growing demand for professionals who possess a blend of domain expertise and technical proficiency in AI and data analytics."

3. Need for Product and Project Experts

Organisations are increasingly recognising the importance of having skilled product and project professionals who can effectively design and implement AI solutions tailored to their business needs. According to a study by Harvard Business Review, successful AI implementation requires a multidisciplinary approach, involving collaboration between data scientists, engineers, and domain experts.

Olga Vorushilo, Associate Partner at Oktet, underscores the importance of product and project expertise in AI initiatives, stating, "In addition to technical prowess, organisations need professionals who can translate business requirements into AI solutions that deliver tangible value. Product and project experts play a crucial role in bridging the gap between technology and business objectives."


  1. Invest in Continuous Learning: Provide opportunities for upskilling and reskilling existing employees to meet the evolving demands of AI and GenAI technologies. Partner with educational institutions and online learning platforms to offer tailored training programs.
  2. Promote Diversity and Inclusion: Foster a culture of diversity and inclusion within the organisation to attract a diverse talent pool. Studies have shown that diverse teams are more innovative and perform better in problem-solving tasks.
  3. Offer Competitive Compensation Packages: In a competitive talent market, competitive compensation is key to attracting and retaining top talent. This is not just in financial benefits as packages should include a wide array of benefits such as health care, lifestyle scheme and flexible working environments such as work from home and work from anywhere policies.
  4. Create a Clear Career Path: Provide clear pathways for career advancement within the organisation, including opportunities for leadership roles and specialised tracks in AI and data analytics.
  5. Cultivate a Collaborative Environment: Foster a collaborative work environment where data scientists, engineers, product managers, and domain experts can collaborate seamlessly on AI projects. Encourage interdisciplinary teams to tackle complex problems and drive innovation.
In summary, the data, analytics and AI talent market in the UK is undergoing significant transformation, driven by the increasing demand for AI and GenAI expertise, as well as the need for skilled product and project professionals. To thrive in this dynamic landscape, organisations need to adapt their talent strategies to attract and retain the best talent. By investing in continuous learning, promoting diversity and inclusion, offering competitive compensation packages, creating clear career paths, and cultivating a collaborative environment, organisations can position themselves as employers of choice in the competitive talent market.

For assistance in finding top data and AI talent to drive your organisation's success in 2024, get in touch with our talent team at Oktet. Together, we can help you build a high-performing team equipped to navigate the complexities of the digital age.