Responsibilities :
Key Responsibilities
Work on end-to-end data science engagements from problem definition to solution development.
Design and implement advanced analytical models and process frameworks.
Collaborate with different stakeholders, providing domain and technical thought.
Perform Fit/Gap analysis and translate business needs into actionable data solutions.
Ensure compliance with release governance and manage incidents using industry-standard tools.
Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs). ________________________________________
Technical and Professional Requirements:
Required Skills & Experience
4+ years of relevant in advanced analytics and model development.
4+ years of hands-on experience in Python and other open-source analytical tools.
Strong expertise in data analytics, data handling, and statistical programming using modern IT tools.
Understanding of Data Warehousing, Business Intelligence, and AI-based solutions.
Proven experience in Agile methodologies, including iterative development and sprint planning.
Experience working in highly regulated environments, ensuring data governance and compliance.
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Exposure to cloud platforms (AWS, Azure, GCP).
Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA). ________________________________________
