Data Scientist Senior Program lead

Job Overview

We are looking for a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analysing large amounts of raw data to extract valuable insights, building machine learning models, and contributing to data-driven decision-making processes across the organisation. You will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes.

The ideal candidate should have a strong background in statistical analysis, machine learning, and data mining techniques, and should be capable of translating complex datasets into understandable insights that impact business growth.

• Analyse large, complex datasets to identify trends, patterns, and insights that inform business decisions.
• Use statistical methods to explore and interpret data, providing actionable recommendations to stakeholders.
• Identify and address data quality issues, ensuring accurate and consistent analyses.

• Build, test, and deploy predictive models and machine learning algorithms to solve business problems (e.g., customer segmentation, demand forecasting, recommendation systems).
• Continuously improve models by retraining and optimizing based on performance metrics and feedback.
• Collaborate with data engineers to integrate models into production systems for real-time decision‑making.

• Work with business teams to define key problems and translate business objectives into data science projects.
• Develop hypotheses and design experiments to test various business scenarios using data‑driven approaches.
• Present data‑driven insights and recommendations to both technical and non‑technical stakeholders.

• Create clear and compelling data visualisations to communicate findings (using tools like Tableau, Power BI, or matplotlib/Seaborn).
• Design and generate dashboards and reports to help business teams track key metrics and KPIs.
• Explain complex analytical results in a clear, concise, and actionable manner to stakeholders at all levels.

• Extract, clean, and prepare data from various internal and external sources for analysis and modelling.
• Perform data transformations, feature engineering, and scaling to optimise model performance.
• Collaborate with data engineers to design data pipelines that ensure the availability of clean, structured, and high‑quality data.

• Apply advanced statistical techniques, such as hypothesis testing, regression analysis, classification, and clustering, to derive insights and build models.
• Perform A/B testing, multivariate testing, and other forms of experimental design to measure the effectiveness of business interventions.

• Work closely with business leaders, product teams, and other stakeholders to understand their data needs and provide them with insights that drive strategy.
• Collaborate with data engineers, analysts, and software developers to implement data solutions that align with business goals.
• Support continuous learning and knowledge sharing by presenting findings and methodologies to colleagues.

Essential Skills

• Minimum 15+ years of consulting experience
• Proven experience of 15+ years as a Data Scientist.
• Strong proficiency in programming languages such as Python or R for data analysis, with experience in libraries like pandas, Num Py, scikit-learn, and Tensor Flow/PyTorch.
• Solid understanding of statistical analysis and experience in applying techniques like regression, hypothesis testing, and multivariate analysis.
• Hands‑on experience with machine learning algorithms (classification, clustering, regression, deep learning).
• Proficiency with SQL for querying large datasets and relational databases.
• Familiarity with data visualisation tools such as Tableau, Power BI, or visualisation libraries in Python (matplotlib, Seaborn).
• Experience with big data technologies such as Hadoop, Spark, or distributed computing frameworks.
• Strong…