Role: Data Scientist Location: Sunbury on Thames/Canary Wharf Work module: (2 days onsite & 3 days remote) OUTSIDE IR35 Contract Duration: 6 -12 Months Job Description: Skills breakdown- ML Modelling: Develop and evaluate statistical/ML models. Software Testing: Experience with testing methodologies and tools. Data Analysis: Proficient in data wrangling and analysis (Python, R, SQL). AI/ML Testing: Experience testing AI/ML models, including prompt engineering and bias detection. ML Systems: Design and implement ML systems; strong Python/SQL; software engineering best practices; Azure experience; excellent communication. Responsibilities • Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners. • Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. • Carry out data analyses to yield actionable business insights. • Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). • Present results to peers and senior management. • Actively contribute to improve developer velocity. • Mentor others. Qualifications Essential • MSc or PhD degree in a quantitative field. • Hands-on experience (typically 2+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. • Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages. • Thorough understanding of underlying mathematical foundations of statistics and machine learning. • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) • Basic SQL knowledge. • Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. • Strong stakeholder management and ability to lead large organizations through influence. • Continuous learning and improvement mindset. Desired • Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus. • Knowledge of experimental design and analysis is a plus. • No prior experience in the energy industry required.