Data Scientist

• 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 impact

We are looking for a Data Scientist with at least 5 years of experience in client-facing roles. The ideal candidate will have strong proficiency in Python or R and experience with machine learning and data analysis. A Bachelor's or Master's degree in a relevant field is required. You will collaborate with stakeholders to deliver data-driven insights and recommendations., * 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 Qualifications

• Experience 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 Competencies

• Strong 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.

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 approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.