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# Data Scientist

- **Company:** The Borough
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Warehousing, Distributed Systems, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Power BI, Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Random Forest, Apache Spark, Pandas, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-scientist/46268202

## About the Role

What you'll be doing:Partner with business stakeholders to identify and prioritise opportunities where data science can deliver measurable value.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 impactWhat experience you'll bring:At least 5 years' experience in
client-facing data science roles with demonstrable impact on business outcomes.Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.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 QualificationsExperience working with cloud platforms such as Azure, AWS, or Google Cloud.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 Spark or Databricks.Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.Industry experience in sectors such as retail, finance, healthcare, or similar (customisable).Key CompetenciesStrong analytical and conceptual thinking.Excellent communication and data-storytelling capabilities.Effective collaboration and stakeholder-engagement skills.High attention to detail and commitment to data accuracy.Who we are:We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This



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