Coefficient

About the Company

At Coefficient, we're passionate about tackling real-world challenges for our clients. We seamlessly blend research-grade AI techniques with a lean startup approach and robust technical expertise. Our mission is to deliver innovative, data-driven solutions that drive tangible results and empower businesses to thrive in an ever-evolving landscape. What do we do, exactly? 1. Rapid Strategy Sprints. These could be focused on identifying AI opportunities, or maximising the value of the data you have. It includes a comprehensive data/AI audit, tailored workshops, and we produce a Data & AI strategic roadmap with prioritised quick wins. If you're not sure where to invest capital for AI ROI, this is for you. 2. Rapid Build Sprints. Our team excels in delivering fast, fixed-price AI and data projects that provide quick wins and proven ROI. If you know what you want, and you're looking for the right team to build it, this is for you. 3. Managed Services. Most clients like to start with one of our sprints so we can prove ourselves to you before committing to a longer-term engagement. If you want us to build the roadmap, deploy and maintain the AI solution, train your in-house data team, or provide an in-house data science & analytics team, we've done it all and would love to help.

Listed Jobs

Company Name

Coefficient

Job Title

Data Scientist

Job Description

**Job Title** Data Scientist **Role Summary** Deliver end‑to‑end data science and engineering solutions across diverse clients, from government agencies to startups. Build, test, and deploy AI/ML models, contribute to internal product development, and provide technical mentorship and training. **Expectations** - Proficient in Python and SQL for data analysis, modeling, and production. - Experience with the Python Open Data Science Stack (pandas, NumPy, matplotlib, seaborn, scikit‑learn). - Comfortable sharing knowledge, writing technical documentation, and presenting findings to stakeholders. - Passion for leveraging large language models (LLMs) to accelerate delivery while maintaining quality. - Strong communication skills for slide decks, sprint reviews, and client demos. **Key Responsibilities** - Design, develop, and deploy machine learning models for client projects. - Perform data wrangling, exploratory analysis, and feature engineering. - Build reproducible pipelines using version control and CI/CD practices. - Collaborate with cross‑functional teams (data engineering, product, consulting) to integrate solutions into production. - Contribute to internal product development and improvement. - Deliver workshops, training sessions, and technical presentations to clients and colleagues. - Participate in code reviews, knowledge sharing, and continuous learning initiatives. **Required Skills** - Python programming (pandas, NumPy, matplotlib, seaborn, scikit‑learn). - SQL query design and data manipulation. - Experience with model training, evaluation, and deployment. - Familiarity with LLMs (e.g., GPT, LLaMA) and prompt engineering. - Ability to write clear technical documentation and presentations. - Strong analytical and problem‑solving abilities. - Excellent verbal and written communication skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field (Master’s preferred). - No mandatory certifications required, but knowledge of relevant ML/AI certifications is a plus.

London, United kingdom

Hybrid

12-12-2025