Senior Data Scientist

PURPOSE:

The Senior Data Scientist will lead advanced analytics projects, develop machine learning models, and drive data-driven decision-making across the organization. This role combines technical expertise with business acumen to uncover insights, solve complex problems, and develop innovative solutions. Collaboration with cross-functional teams will be critical to achieve business objectives.

PRIMARY RESPONSIBILITIES:

• Develop and deploy advanced predictive and prescriptive models using machine learning and statistical techniques.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and outliers.
• Deliver actionable insights and recommendations to support strategic decision-making.
• Implement end-to-end data science workflows, including data extraction, cleaning, modelling, and deployment.
• Optimize and automate existing data processes using advanced tools and frameworks.
• Build scalable pipelines for data ingestion and transformation.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
• Present complex analytical findings in clear, concise, and visually compelling formats (e.g., dashboards, reports).

Key Skills, Knowledge, Experience and Behavioural Competencies
Academic and Professional Requirements

• Education    Master’s/Bachelor’s Degree    Degree in Data Science, Computer Science, Mathematics, Statistics, or related fields.

Experience Required:

• Relevant experience    5+

Qualifications, Skills and Competencies:

• Expertise in Python, R, or similar programming languages for data science.
• Proficiency in SQL and working with relational databases.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
• Proven track record of deploying data-driven solutions that drive business outcomes.
• Experience in industry-specific applications (e.g., healthcare, finance, insurance).
• Familiarity with visualization tools like Tableau, Power BI, etc.