Data Scientist

Job Description

Key Roles and Responsibilities

• Design, develop, and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Extract, transform, and analyse large, complex data sets with SQL, Python, and/or R.
• Build and maintain scalable data pipelines and automated workflows to support model training and deployment.
• Conduct exploratory data analysis, hypothesis testing, and advanced analytics to uncover insights and trends.
• Communicate findings, model outputs, and strategic recommendations effectively to both technical and non-technical stakeholders.
• Collaborate with stakeholders and mentor junior analysts to execute the data science roadmap and foster analytical excellence.

Skills, Knowledge and Experience:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
• Strong proficiency in Python and/or R for statistical analysis, machine learning, and data manipulation.
• Advanced SQL proficiency and experience with structured and unstructured data sources.
• Solid understanding of data warehouses, dimensional data models, and data lake architectures using Databricks.
• Hands-on experience with machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Knowledge of deep learning techniques and their practical application to business problems.
• Experience with data visualisation tools such as Tableau, Power BI, or equivalent.
• Solid understanding of analytics products and experimentation frameworks (e.g. A/B testing).

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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