Full Stack Engineer, QuantSpark
£40-50k
More information about location
2-3 days a week in office (Blackfriars Rd, London)
QuantSpark is revolutionising how data and AI serve society
Job no longer available
QuantSpark is revolutionising how data and AI serve society
21-100 employees
Job no longer available
£40-50k
More information about location
2-3 days a week in office (Blackfriars Rd, London)
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
- At QuantSpark, we value growth and learning, and are looking for individuals to join our team who can work both autonomously and collaboratively with our internal team and clients
- One to three years progressive full-stack engineering experience
- 1 year programming with Django and/or Flask on the backend
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal and external teams
- Commercial experience in Python programming with Flask or Django with JavesScript or TypeScript (ideally React) experience
- Ability to write clean, efficient, and maintainable code and documentation, following best practices and coding standards
- Experience with RESTful APIs
- Strong problem-solving and analytical skills
- You take accountability and can work both independently and within a team
- Creating a user interfaces for web applications
- Familiarity with database systems such as PostgreSQL, MySQL, or MongoDB
Desirable
- Experience with AWS services
- Strong experience in unit testing, TDD
- Experience in code management (Git, pip)
- A keen eye for good user interface design and user experience
- Experience with Python packages used for data science (familiarity with Pandas, Numpy, Scikit, Tensorflow)
- Knowledge of containerisation technologies (Docker, Kubernetes)
What the job involves
- Reports to: Engineering Manager
- As a Full Stack Engineer, you will build and support well-designed, tested, and scalable web applications using your skills in both frontend and backend development
- You will work both on the backend (e.g., Python/API endpoints) and frontend (e.g., TypeScript/React) features
- You have direct, commercial experience working with python programming with Django and/or Flask
- You will support the development of client-facing functionality, such as web applications, from detailing requirements, designing, and developing a solution to testing and validating that the solution does match user expectations
- In this role, you will provide technical support and upkeep of existing infrastructure, identify, and diagnose software issues, and assist in maintaining and upgrading applications as needed, while learning alongside senior engineers
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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