about the company
Our client is a market leader in the telecommunications sector with a robust data strategy, building impactful partnerships across various industries, including the financial services sector. Join them and work on projects that directly influence critical business decisions and help pioneer new revenue streams through innovative data solutions.
about the role
As a Senior Data Scientist within the AI & Data Analytics team, you will assume a key role in driving insights and AI/ML model development. You will focus on high-impact projects that involve close collaboration with strategic partners, including those in the financial/insurance industry. Your work will directly support the creation of innovative, embedded solutions by developing predictive models for customer-centric applications, such as propensity to purchase, customer eligibility, and risk modeling. You will take a leading role in the end-to-end development and productionization of these analytical models, ensuring they are scalable, explainable, and continuously monitored for performance.skills and experience
- Bachelor’s or Postgraduate degree in Computer Science, Mathematics, Statistics, or a related field with at least 3 years of relevant working experience.
- Strong proficiency in Machine Learning & Statistical Modelling (including regression, time series forecasting, gradient boosted trees, and causal inference).
- Experience with LLMs & Generative AI (fine-tuning, prompt engineering, and evaluation).
- Proficiency in data manipulation with SQL, Python, Spark, and Databricks.
- Familiarity with software engineering best practices, including modular code design and version control tools like GitHub.
- Exposure to cloud platforms (Azure, AWS, GCP) and ML lifecycle tools (MLflow, Airflow).
- Excellent problem-solving skills and the ability to communicate complex findings to both technical and non-technical audiences.
To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)
...
