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Tier-1 employer, Bangalore location, generalist junior ML role with broad skillset increases competition.
Core ML skills transfer across industries, but insurance underwriting domain knowledge moderately increases specificity.
Advanced degree requirement and strong ML skill expectations create moderately strict shortlisting.
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Collaborate with global business partners to define project scopes, manage timelines, deliver analyses, and implement machine learning models.
Develop, implement, and maintain NLP, machine learning, and deep learning models to automate underwriting and pricing processes, ensuring models meet KPI targets post-production.
Mentor junior team members, generate innovative business solutions, stay updated on AI/ML advancements, and deepen expertise across multiple insurance business lines.
Advanced degree in data science, business analytics, computer science, statistics, mathematics, or economics.
Strong Python programming skills including data engineering, transformation, analysis, visualization, and machine learning libraries (Numpy, Pandas, Scikit-learn).
Experience developing and maintaining machine learning models with understanding of probabilistic models, supervised/unsupervised learning, ensemble techniques, hyperparameter optimization, and deep learning.
Work Experience Required: Not explicitly mentioned in the JD. Location: Bangalore, India.
Has operational experience in building end-to-end ML models with measurable business impact, particularly in automating underwriting and pricing in insurance or related domains.
Able to independently manage stakeholder relationships and complex deliverables with strong problem-solving and organisational skills.
Possesses a technical foundation in ML and programming complemented by ability to mentor others and innovate in analytics within a dynamic, cross-functional environment.