Role: As a Lead Data Scientist individual typically emphasizes both technical expertise and leadership skills. They are responsible for leading data science teams, managing projects, and ensuring alignment with business goals, while also developing and implementing data-driven solutions
Project Management
Planning, prioritizing, and overseeing data science projects, ensuring they align with business objectives.
Technical Expertise
Developing and implementing machine learning models, statistical analysis, and data visualization techniques to solve business problems.
Data Modeling And Analysis
Analyzing large datasets, identifying patterns, and extracting insights to inform decision-making.
Innovation
Staying up-to-date on the latest advancements in data science and machine learning, and identifying prospects for innovation.
Ethical Data Practices
Ensuring that data science projects are conducted ethically and responsibly
Qualification &
Experience: BE, B Tech, M Tech, MCA or related field.
Responsibilities
Lead a Team of 5+ Data Scientist
Robust business acumen and analytical skills
Ability to analyze business problems, understand data and related potential solutions
Collaborate with various Business, Operations and Technology stakeholders across Bank
Results oriented willingness to commit to delivery and take charge
Comfortable working in a large organization with broad set of stakeholders across various functions
Curious, self-motivated and interested in an accelerated learning curve
Prior hands on experience in Credit Risk area for at least 4+ years
Having worked on different types of Banking Use cases.
Must-haves
Total exp of 12+ years as Data Analyst/Data Scientist field
5+ years of work experience as Data Analyst with Credit Risk Analysis
Robust Python, SAS or PySpark programming knowledge is required.
Data Analytics and AI skills
SQL programming knowledge is required
Worked on cloud-based data infrastructure (preferable)
📌 Vice President Data Analytics Mumbai
🏢 AU Small Finance Bank
📍 Mumbai
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