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Join Our Mission
At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most—whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies.
Here, you’ll compress years of traditional career progression into 2-3 years. From day one, you’ll support and deliver end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain.
We don’t just analyse or advise - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact.
Our Client Portfolio
QuantSpark’s partners span:
Private Equity & Financial Services: Value creation analytics, risk identification, and portfolio performance for global investment and wealth managers.
Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for leading UK consumer brands.
Asset Management: Data-driven systems, risk automation, and alternative data for top asset managers.
Public Sector: Fraud analytics, predictive maintenance, and supply chain solutions for multiple UK government departments.
SaaS & Manufacturing: Data-powered transformation across startups and global manufacturers.
The Role
Title: Analyst
Office Environment: Hybrid (2 days per week)
Type: Full time, permanent
Industry: Consulting
As an Analyst, you will:
- Assist in analysing datasets and support the translation of findings into clear insights.
- Contribute to the delivery of analysis pipelines, models, and visualisations with guidance.
- Use AI coding agents (such as GitHub Copilot, Cursor, and Claude) to accelerate delivery while keeping outputs correct and secure.
- Collaborate with project teams and learn to communicate insights effectively to clients.
- Support senior analysts and managers on project tasks, gradually building confidence and independence.
- Develop practical skills in data engineering, modelling, and business intelligence tools.
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In your first three months, you'll focus on learning our tools and methods, supporting project deliverables, and integrating into the team.
Our Team
You'll join our Analytics and Consulting team, (a team of around 8) on live client engagements. The team works closely with our engineering and product colleagues, so you'll be delivering analysis as part of a wider effort.
You should apply if
- You have commercial experience with a technical focus in data analytics and a strong motivation to learn end to end project work.
- You have at least an intermediate proficiency in Python and a willingness to build skills in data engineering, predictive modelling, or business intelligence.
- You have a strong interest in AI tooling and how to apply it to real projects.
- You're organised, can work autonomously as well as part of a team, and can manage your workload reliably, collaborating well within a team.
- You communicate clearly and enjoy explaining data insights to non-technical audiences.
- You want to apply data and AI to real world problems and grow in a fast paced environment.
Must-haves
- Python programming basics
- Some background in AI experimentation or hands-on use of AI tools.
- Good interpersonal and communication skills.
- A positive attitude and eagerness to learn.
- A basic understanding of statistical analysis, from study or practice.
Preferred
- Familiarity with SQL or cloud platforms such as AWS or Azure.
- Exposure to data visualisation tools, such as Power BI or Tableau.
- Interest or exposure to project management principles.
- Knowledge of, or interest in, machine learning.
What you'll love about QuantSpark
- A growth environment with mentorship and the chance to build your skills quickly
- Clear visibility into how your work contributes to client outcomes
- An extremely innovate environment, with exposure to cutting edge AI
- Real ownership from day one, with the chance to work on meaningful client projects early in your career
- The freedom to bring new ideas and ways of working to a project, backed by a team that values initiative
- Client exposure that builds practical, commercial skills fast
- A close-knit and highly collaborative team that works directly with our engineering and product colleagues on projects
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In three to five years, you'll be
- Confidently leading parts of analytical projects, with growing technical and client interaction skills
- Trusted by colleagues and clients as a reliable problem solver and communicator
- Positioned for career advancement within a fast growing company that rewards initiative
Perks & Benefits
- £6,000 annual per person training & development budget to stay at the cutting edge, to be used as you like. This includes 12 ring-fenced learning days a year.
- Pension for long-term financial security.
- Comprehensive private healthcare via Vitality.
- EMI share options
- Work from anywhere in the world up to 4 weeks per year.
- 25 days holiday, with the ability to buy or sell up to 5 additional days.
- Cycle-to-work scheme
- Pet friendly office
- Central London office with premium refreshments, team socials, and collaborative atmosphere.
- Exclusive discounts on retail, travel, tech, and fitness memberships.
- Access to cutting-edge tools and platforms, plus regular tech talks and innovation sessions.
Equal Opportunities
We strongly believe that diversity of people and ideas is essential for the well-being and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience, and background is truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. QuantSpark is an equal opportunities employer and makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.
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