AI Engineer, QuantSpark

Machine Learning Expertise

Salary not provided

+ EMI share options

SQL
AWS
Python
Azure
Junior, Mid and Senior level
London

2+ days a week in office

QuantSpark

QuantSpark is revolutionising how data and AI serve society

Be an early applicant

QuantSpark

QuantSpark is revolutionising how data and AI serve society

21-100 employees

B2BArtificial IntelligenceBig dataAnalyticsConsultingBusiness IntelligenceMachine LearningData Analysis

Be an early applicant

Salary not provided

+ EMI share options

SQL
AWS
Python
Azure
Junior, Mid and Senior level
London

2+ days a week in office

21-100 employees

B2BArtificial IntelligenceBig dataAnalyticsConsultingBusiness IntelligenceMachine LearningData Analysis

Company mission

Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.

Company mission

Strategy consultancy meets product studio: We build AI-powered tools that turn data into decisive competitive advantage.

32% female employees

30% employee growth in 12 months

Glassdoor (3.4)

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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 headshot

Steph

Company Specialist at Welcome to the Jungle

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.

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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