Data Science and Analytics Manager at Datacentrix

• MTS's client is seeking a Data Science and Analytics Manager for a client in the Healthcare industry to lead the clients' data team in driving insights and decision-making through advanced analytics and machine learning techniques. The ideal candidate will have a strong background in Python or R, along with expertise in analytics/ML libraries, data processing, and cloud infrastructure. Responsibilities include managing data projects, implementing machine learning models, and collaborating with cross-functional teams to optimize data-driven strategies.

Inherent Requirements

• At least 10 years of hands-on involvement in data science projects, including managing large-scale initiatives and leading multidisciplinary teams.
• Degree (Honours, Masters or PHD) in quantitative fields such as Actuarial Science, Statistics, Computer Science, Engineering, Mathematics and/or combination of these.
• Proven expertise in data science technologies such as Python, PowerBI, Microsoft Azure, Spark, big data ecosystems, machine learning frameworks, and cloud infrastructure.
• Deep knowledge of Python or R and common analytics/ML libraries (NumPy, Pandas, Matplotlib, SciPy), as well as a proven track record using Jupyter notebooks. Strong SQL skills and experience with large, complex datasets are essential.
• Demonstrated ability to apply statistical machine learning techniques to predictive modeling, delivering measurable value.
• A history of successfully bringing data science solutions into high-scale production environments, ensuring long-term reliability and business impact.