Lead - Model Development (Data Science)

Role: Lead - Model Development

Job Title: Chief Manager / Assistant Vice President

Experience: 10 years +

Location: Goregaon (East), Mumbai

Department: Data Science & Analytics

Kotak Life Insuranc

.Key Responsibilities

• :Leadership in Model Developmen

  t
• :Spearhead the development of advanced machine learning and predictive modeling strategies from scratch, enhancing business decision-making and customer experience
• .Lead and mentor a team of talented data scientists and analysts in the design, construction, and deployment of diverse ML models
• .Foster cross-departmental collaboration to seamlessly integrate ML and predictive analytics into our core business processes

• .Innovation and Strategic Plannin

  g
• :Keep abreast of the latest advancements in data science, machine learning, and insurtech, ensuring our strategies remain at the forefront of the industry
• .Actively contribute to the strategic planning of the company’s data and analytics initiatives
• .Cultivate a data-driven culture within the organization, advocating for the power of analytics in every facet of our business

• .Technical Expertise and Project Managemen

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• :Offer expert guidance on a wide spectrum of statistical analysis, machine learning algorithms, and data modeling techniques
• .Guarantee the accuracy, reliability, and integrity of our analytical solutions
• .Efficiently manage and prioritize multiple projects, ensuring alignment with the company’s strategic goals and deadlines

• .Stakeholder Engagement and Communicatio

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• :Provide direct and insightful reports to the Chief Data and Analytics Officer on project progress and strategic developments
• .Collaborate closely with senior management to align data science solutions with business objectives
• .Clearly articulate complex data and ML concepts to a non-technical audience, ensuring transparency and understanding across the organization

.Core Skills & Capabilities

• :Machine Learnin

  g: Demonstrable expertise in a specific area of machine learning

• .Coding Proficienc

  y: Exceptional skills in procedural languages such as Python, with practical experience in machine learning implementations. Familiarity with command-line tools

• .Advanced Tool Knowledg

  e: Experience with Hadoop ecosystem tools, large-scale model deployment, and deep learning frameworks is highly advantageous

.Required Skills and Qualifications

• :A minimum of 10 years + experience in data science, with a significant focus on machine learning and predictive modeling
• .A proven track record of leading and managing successful data science teams
• .Comprehensive expertise in statistical analysis, machine learning techniques, and predictive modeling
• .Proficiency in data science tools and programming languages including Python, R, SQL, and SAS Viya
• .Exceptional problem-solving abilities and a strong analytical mindset
• .Outstanding communication and leadership skills
• .Bachelor’s or Master’s degree in Statistics, Econometrics, Computer Science, Data Science, or a related field. Experience in the insurance or BFSI sector is preferable

.Desired Attributes

• :A strategic thinker passionate about innovation in data science and insurtech
• .Ability to excel in a dynamic, fast-paced environment
• .Strong interpersonal skills, adept at building relationships across various organizational levels
• .Business acumen with a focus on delivering tangible value
• .Skilled in communicating with non-technical business stakeholders
• .Committed to delivering business value, not just technical solutions

.What We Are Not Looking For

• :Candidates with only core experience in standalone packages like SAS, SPSS, Cognos
• .Professionals solely skilled in BI, business analysis, data engineering, ETL, analytics, or visualization without actual machine learning experience
• .Programmers without a significant data track record, or data professionals without solid programming experience