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Data Scientist

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Job Description - Data Scientist


Who we are


 


We are looking for an experienced Data Scientist  for our client, one of the UK’s major energy providers. The role focuses on being a partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value.


What you'll be doing


 



  • Collect, clean, and transform structured and unstructured data from multiple internal and external sources

  • Develop, test, and deploy predictive models and machine learning algorithms to address business challenges

  • Conduct exploratory data analysis (EDA) to uncover trends, patterns, anomalies, and key drivers

  • Communicate insights and recommendations through clear storytelling, visualisations, and dashboards

  • Collaborate with engineering teams to productionise models and ensure reliability, scalability, and ongoing performance

  • Evaluate model accuracy and effectiveness, implementing continuous optimisation and tuning

  • Stay up to date with emerging data science tools, methodologies, and industry best practices

  • Perform sensitivity analysis to assess model robustness and variable impact


 


What you'll bring along


 



  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline

  • Minimum 3-5 years’ experience in client-facing Data Science roles with demonstrable impact on business outcomes

  • Strong proficiency in Python or R, including libraries such as pandas, scikit-learn, NumPy, TensorFlow, or PyTorch

  • Solid understanding of statistical analysis, hypothesis testing, and experimental design

  • Hands-on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods)

  • Proficiency with SQL and data warehousing technologies

  • Ability to translate complex analytical findings into clear, practical business recommendations

  • Strong problem-solving skills and natural curiosity for exploring and understanding data

  • Preferred Skills and Qualifications

  • Experience working with cloud platforms such as Azure

  • Background in deploying machine learning models into production environments (MLOps experience is advantageous)

  • Hands-on experience with big-data or distributed computing tools such as Fabric

  • Familiarity with visualisation tools such as Power BI, Tableau, or Plotly

  • Industry experience primarily in Energy & Utilities

  • Excellent communication and data-storytelling capabilities

  • Effective collaboration and stakeholder-engagement skills

  • High attention to detail and commitment to data accuracy

  • Continuous learning mindset and openness to new techniques and technologies


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