Analyst, QuantSpark
Data Science
£38-54k
2 days a week in office (Southwark)
QuantSpark is revolutionising how data and AI serve society
Open for applications
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Open for applications
£38-54k
2 days a week in office (Southwark)
21-100 employees
Company mission
Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.
Role
Who you are
- You have at least +2 years in a commercial setting with a technical focus in data analytics and a strong motivation to learn end-to-end project work
- You have intermediate proficiency in Python and a willingness to develop skills in areas such as Data Engineering, Predictive Modelling, or Business Intelligence
- Python programming basics or equivalent analytical scripting experience
What the job involves
- Reporting to: Analytics Manager
- 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 5–10 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—we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact
- 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
- Collaborate with project teams and learn to communicate insights effectively to clients
- Support senior analysts and managers in project tasks, gradually building confidence and independence
- Develop practical skills in data engineering, modelling, and business intelligence tools
- In your first three months, you will focus on learning the tools and methodologies, supporting project deliverables, and integrating into our team culture
- In 3-5 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
Application process
- 1. 30 min phone screen with Talent team
- 2. Short Technical Test - completed at home
- 3. 75 Mins in person-interview
- 4. Virtual culture Interview - 30 -45 mins
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, its work involves analysing large datasets and systems in order to understand customer behaviour and help clients make informed decisions for strategic planning in sales and marketing.
In recent years, big data has become central to the operation of businesses large and small, and this has led to great demand for data scientists fluent in sophisticated modelling and analysis. QuantSpark seeks to go a step further, providing a service which combines data science with commercial insight- effectively providing both services through one transaction. By doing this, QuantSpark hopes to offer clients a more meaningful insight into their data than a standard consultancy could.
Already, the company has an impressive client list, including the UK Government, the Australian Government and Bain Capital. QuantSpark's tools and solutions are developed to become embedded in its clients' operations, ensuring a long-lasting relationship between them, and meaning that, as QuantSpark continues to expand its client base, its model should allow it to see continued success in the future.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Tech for good: We are passionate about giving our team the chance to have a real social impact and will have the opportunity to work on a wide variety of impactful projects
- Training budget: Everyone in QuantSpark has £6,000 training budget and 12 ring-fenced days a year to spend on their own professional development
- Work abroad for up to 1 month per year
- Generous EMI Share Options scheme
- Socials, clubs and guilds to connect with colleagues and share knowledge
- Hybrid working (2-3 days in office per week)
- Dog friendly office
- Cycle to work scheme. Onsite showers
- 25 days annual leave + bank holidays + buy/sell 5 days annual leave
- Pension matched up to 6%
- Vitality Private healthcare
- Annual performance bonus: Company profit share scheme and a personal performance bonus of 10%
Company values
- Problem Solving Power: We thrive on solving the biggest challenges with data, strategy, and AI - delivering clarity from complexity.
- Innovation That Lasts: We go beyond solutions - reimagining operations and scaling impactful innovation across industries.
- Results That Matter: We focus on outcomes that count - driving efficiency, profitability and positive societal impact.
Company HQ
London, UK
Articles
Leadership
Adam Hadley
(Co-Founder & CEO)Entrepreneur and CBE Adam leads QuantSpark and Tech Against Terrorism, using AI and analytics to tackle global challenges, strengthen security, and foster economic growth in the UK.
Diversity, Equity & Inclusion at QuantSpark
- As an AI-first consultancy tackling complex challenges from economic crime to government fraud prevention, we know that diverse perspectives drive better solutions. Different backgrounds, experiences and ways of thinking aren't just nice to have—they're essential to building technology that works for everyone and solving problems others miss.
- Transparent progression frameworks ensuring fair opportunities for growth regardless of background
- Inclusive recruitment practices designed to attract talent from underrepresented groups in tech and data science
- Regular culture initiatives like our peer feedback sessions, workshops and AMA's where we actively shape our workplace together
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