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Data Scientist
Coefficient ?
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Data Scientist
role at
Coefficient
Overview Coefficient is a full‑stack data consultancy dedicated to helping organisations solve their toughest challenges using data science, software engineering, machine learning, analytics, and artificial intelligence. You will work on a wide variety of projects – from cutting‑edge AI solutions for the UK government to building transformative tools across a range of industries – delivering end‑to‑end data science and engineering solutions for our clients while also improving our own internal products.
Responsibilities
Build and deploy cutting‑edge AI and ML solutions for diverse clients (from Government to Startups).
Gain full‑stack delivery experience across an array of industries while benefiting from investment in your professional growth and expertise.
Deliver end‑to‑end data science and engineering solutions for clients.
Build and improve internal products.
Participate in mentoring and guidance programmes, sharing knowledge with teammates.
Work independently but collaborate closely with senior team members, including the CEO.
Explore the latest LLM tooling to accelerate AI‑enhanced delivery while maintaining quality.
Write and contribute to presentation slide decks for sprint reviews and client demos.
Qualifications
Comfortable using Python and SQL for data analysis, data science, and/or machine learning.
Experience with libraries in the Python Open Data Science Stack (e.g., pandas, NumPy, matplotlib, Seaborn, scikit‑learn).
Enjoy sharing knowledge, experience, and passion with others.
Passion for leveraging the latest LLM tooling for accelerated AI‑enhanced delivery without compromising quality.
Excellent written and verbal communication skills, including the ability to create presentation decks.
Location and Eligibility Requirements UK‑based, hybrid role: primarily remote with in‑person collaboration in London 2–4 days per month. Eligibility: must already have the right to work in the UK. No visa sponsorship for a Skilled Worker visa. Candidates currently in full‑time education (including PhD students) are not considered.
Salary and Benefits Annual salary: £38,000, with a meaningful uplift following a performance review at the successful 3‑month probation mark.
Holiday: 33 days per year, including bank holidays.
Pension: Smart Pension plan.
Benefits
Co‑working spaces: regular co‑working days in London and full access to Hubble network.
Learning and professional development: paid courses, subscriptions, and sponsorship of PyData Meetups, Humble Data, and conferences (£1,000 in year 1 rising to £2,000 in year 3).
Mental health support: All‑in‑one programme with 8 hours of therapy per year, worth up to £520.
Headspace membership: paid access.
10% Time: 4 hours per week for skill‑building or personal projects.
Company‑owned Apple laptop and peripherals.
Team culture: small team socials (guided walking tours, escape rooms, Bake Off experiences).
Commitment to sustainability: a signatory of TechZero.
Hiring Process
Round 1: Application screening – CV, screening questions, and code samples.
Round 2: One‑way video interview (non‑technical).
Round 3: Practical coding exercise (1 hour).
Round 4: Technical interview (1 hour) with pair programming.
Round 5: Final conversation with the CEO.
Speed: swift feedback after each round; feedback for rounds > 2 provided upon request.
Additional Information Seniority level: Entry level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Software Development
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Compétences linguistiques
- English
Avis aux utilisateurs
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