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). ________________________________________ 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). ________________________________________
