Data Scientist

Cardiff - Flexible Working Available

£45,000-£50,000 + annual salary uplift, cost of living increase, and bonus

Great opportunity for a leading utilities company within Wales.

Are you passionate about transforming data into actionable insights? As a Data Scientist, you’ll play a key role in enhancing our analytical capabilities, providing data-driven insights that empower smarter decisions across the organization.

Working within the Data Science Team, you’ll engage in varied, dynamic projects using machine learning, AI, and operational research to solve diverse business challenges. This role is ideal for someone excited by innovation and eager to advance their technical skills while making a tangible impact.

Key Responsibilities

• Collaborate with stakeholders to understand business challenges and apply data science tools to address them, adding real business value.
• Develop, train, evaluate, and maintain analytics products, helping to shape a centralized data platform with advanced cloud analytics.
• Use agile methodologies to deliver analytical solutions, such as machine learning and AI models, that enhance decision-making processes.
• Create user-friendly interfaces to support the deployment of data science tools across the organization.
• Horizon-scan for new trends and advancements in data science to drive continuous innovation within the team.

Technical Responsibilities

• Develop and deploy analytical solutions using agile approaches, contributing to end-to-end product lifecycle.
• Leverage advanced programming skills in statistical languages (e.g., Python, R) to create effective data solutions.
• Build custom applications and interfaces that enhance data visualization and decision-making.
• Utilize a variety of tools and platforms, including Python, Azure DevOps, SQL Server, Databricks, and PowerBI.

Required Qualifications and Skills

• Experience:Proven experience within a data science team; project management experience is a plus.
• Technical Skills:Strong proficiency in programming (e.g., Python, R), statistical and data science concepts, machine learning, and analytical tool deployment.

Example Projects You’ll Work On

• Anomaly detection models for proactive maintenance.
• Machine learning models for risk management.
• Vision AI applications to detect asset defects.
• Optimization models for asset and process improvements.
• Custom applications to streamline data collection and predictive modeling.