Key Duties & Responsibilities: - Develop, implement, and optimize Machine Learning models to solve complex business challenges.
- Analyze large datasets to provide actionable insights and support data-driven decision-making.
- Collaborate with cross-functional teams to ensure alignment between business objectives and data strategies.
- Present findings and model results to stakeholders and executives in a clear and impactful way.
- Continuously refine and improve models based on evolving data and business needs.
- Stay up-to-date with the latest trends and advancements in data science and machine learning.
Qualifications: - BSc in Mathematics, Statistics, or Actuarial Science (Honours/Masters preferred).
- 3-5 years of experience as a Data Scientist, particularly within the Banking, Telecommunications, or Insurance industries.
- Proven experience with Machine Learning , model-building, and data analysis.
- Proficiency in statistical programming languages like Python, R, SQL , or similar.
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
- Excellent communication skills, capable of presenting complex data to non-technical stakeholders.
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