Analyst - Data, Analytics & AI

Final date to receive applications: 16 October 2026

Department: Consulting
- Analytics
- Entry Level

Employment Type: Full Time

Location: London

Compensation: £45,000 / year

CIL is a global growth strategy consultancy. We work with organisations on the decisions that shape growth, from value creation strategies to pricing, data and analytics.

We have offices across the UK, US and Europe, and work across a wide range of sectors. Although we work in structured project teams, we are socially very equal, friendly and inclusive – our ‘culture’ is the product of our people. Our values of excellence, integrity, and supportiveness guide how we work, both with clients and each other.

The Data, Analytics & AI team combines rigorous business thinking with modern analytical techniques to deliver clear, actionable insight. We support clients directly through analytics-led engagements and work closely alongside CIL’s strategy consulting teams.

Recent projects include developing a data strategy for a recruitment agency, building automated management dashboards for an IT services business, and delivering site-location analysis for a national bakery chain. The work is highly varied, both in analytical challenge and commercial context.

Your responsibilities will be varied, and you will:

• Grasp new business models quickly, typically working on a new project every 6-12 weeks.
• Design and build data solutions that help clients achieve their long-term strategic objectives.
• Analyse complex datasets using statistical and analytical techniques to identify insights, drivers of performance and sources of untapped value.
• Work directly with clients, including contributing to meetings and helping to present findings and recommendations. We strongly believe that early client exposure is central to professional development.
• Contribute to the development of CIL’s internal data, analytics and AI capabilities, including tools, methodologies and ways of working.

• A strong academic background from a top university. Relevant degrees include Economics, Mathematics, Computer Science, Data Analytics, PPE or similar quantitative disciplines.
• Excellent teamwork and interpersonal skills, with the ability to collaborate effectively in small, high-performing teams.
• Intellectual curiosity, adaptability and a genuine enthusiasm for tackling new and unfamiliar problems.
• A proactive mindset, with the confidence to take ownership and the humility to learn quickly.

• Outstanding numeracy, written and verbal communication skills.
• Exceptional research techniques and critical thinking ability.
• Business acumen and curiosity for solving business problems.
• Ability to communicate complex problems to non-technical audiences.
• Experience with at least one programming language (e.g. Python, R, Stata).
• Able to understand statistical concepts and how these apply to business problems (e.g. regression analysis, machine learning).
• You must have achieved a grade 7 (or equivalent) in GCSE Maths.
• You must have achieved, or be on track to achieve, a 2:1 (or equivalent) in your undergraduate degree.

It would also be beneficial, but not essential, to demonstrate the following:

• Ability to process and analyse large volumes of data (e.g. SQL, Alteryx).
• Familiarity with at least one data visualisation tool (e.g. Power BI, Tableau).
• Familiarity with modern data platforms (e. g. Databricks, Snowflake).
• Familiarity with Generative AI and agentic systems.
• Familiarity with web scraping (e.g. Python, web scraper.io).

We are committed to being the best consultancy to work for in our field. As well as the benefits below, we…