Data Scientist

Coefficient Systems Ltd; Greater London; On-site; GBP 34,200 - 41,800; Full time

Benefits offered by this job

33 days paid holiday

Smart Pension contributions

Regular performance reviews

Job summary

Coefficient Systems Ltd is looking for a Full-time Data Scientist based in the UK to build and deploy AI and ML solutions for diverse clients. The successful candidate will work on end-to-end data science projects, including high-speed trading algorithms and logistics optimization.

Applicants should be fluent in Python and SQL, with hands-on experience in LLM applications. The role offers an annual salary of £38,000 and benefits including 33 days of paid holiday and Smart Pension contributions.

Qualifications

• Fluent in Python and SQL, comfortable with the Python Open Data Science Stack.
• Hands-on experience with LLM application patterns.
• Knowledge of embeddings, vector databases, and prompt engineering.
• Experience with MLOps / LLMOps in production.
• Excellent coding skills and proficient with tools like Claude Code and GitHub Copilot.
• Strong communication skills and ability to educate teammates.

Responsibilities

• Deliver end-to-end data science and engineering solutions.
• Work on high-speed trading algorithms and logistics optimisation.
• Assist in developing and maintaining internal products.
• Mentor teammates and contribute to a culture of continuous learning.

Job description

The Role in 30 Seconds

• Full-time Data Scientist
• 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.

Responsibilities

• Deliver end‑to‑end data science and engineering solutions for clients, including building models and deploying them into production.
• Work across a variety of projects, from high‑speed trading algorithms to logistics optimisation and election forecasting models.
• Assist in developing and maintaining internal products and tools.
• Mentor teammates and contribute to a culture of continuous learning.

Qualifications and Skills

• Fluent in Python and SQL, comfortable with the Python Open Data Science Stack (pandas, NumPy, scikit‑learn, matplotlib, Seaborn).
• Hands‑on experience with at least one LLM application pattern (Retrieval‑Augmented Generation, fine‑tuning, or building LLM evaluation suites).
• Knowledge of embeddings, vector databases, and prompt engineering; experience with frontier model APIs (OpenAI, Anthropic, Google).
• Experience with MLOps / LLMOps: versioning, monitoring, and iterating models in production.
• Excellent at agentic coding; skilled at using tools such as Claude Code, Cursor, and GitHub Copilot and reviewing their output.
• Strong communication skills; ability to write presentation slides and demo scripts for client meetings.
• Enjoy sharing knowledge and coaching teammates.

Location and Eligibility Requirements

UK‑based, hybrid role. The successful candidate must be able to travel to London 2–4 days per month.

• Eligibility: Right to work in the UK.
• Visa Sponsorship: Unable to offer Skilled Worker visa sponsorship.
• Students: Candidates currently in full‑time education (including PhD students) are not considered.

Base Salary and Benefits

• Annual salary: £38,000, with meaningful uplift after a performance review at the 3‑month probation mark.
• Paid holiday: 33 days per year, including bank holidays.
• Smart Pension contribution to help save for retirement.
• Regular performance reviews.
• Opportunity to work closely with senior leadership and a forward‑thinking team.
• Commitment to sustainability (TechZero signatory).

Hiring Process

We aim for a transparent, efficient, and enjoyable hiring process. The stages are:

• Round 1: Application screening of CV, screening questions, and code samples.
• Round 2: One‑way non‑technical video interview.
• Round 3: Practical coding exercise (1 hour).
• Round 4: Technical interview (1 hour) with pair programming.
• Round 5: Final conversation with the CEO.

Additional Information

• We encourage applications from diverse candidates; applicants not meeting every single requirement are still invited to apply.
• All correspondence is sent via Workable; please avoid filtering emails into spam/junk.
• Due to high volume, we cannot consider applicants without code samples and screening answers.