Lead Data Scientist
19 hours ago
We are hiring for leading NBFC in insurance domain
Role: Lead Data Scientist
Experience: 10+years
Location: Thane Mumbai
Key skills:
We are seeking an experienced and innovative Sr. Data Scientist to lead and deliver data-driven solutions that transform sales distribution and risk related strategies for our organization. The ideal candidate will have expertise in machine learning, behavioural data science, and digital analytics, with a strong background in fintech (e.g., risk management, underwriting) and exposure to other industries such as e-commerce.
Key Responsibilities
Machine Learning & Advanced Analytics
Develop, implement, and optimize machine learning models to solve complex business problems.
Design and refine recommendation models and predictive algorithms for customer engagement and risk assessment.
Domain Expertise in Fintech and Beyond
Leverage experience in fintech (e.g., underwriting, risk management) and other domains like e-commerce to deliver cross-industry insights.
Analyse financial and behavioural data to build innovative solutions tailored to client needs.
Behavioural Data Science
Utilize external third-party data and internal datasets to uncover behavioural patterns and actionable insights.
Integrate external data sources to enhance predictive modelling accuracy.
Digital Analytics
Apply expertise in digital analytics tools and methodologies to assess digital footprints and drive customer engagement strategies.
Conduct end-to-end customer journey analysis, identifying touchpoints for improved engagement.
Customer Engagement & Data Insights
Build and implement customer engagement models to enhance retention, loyalty, and satisfaction.
Translate data into actionable strategies for improved customer experiences and business outcomes.
Key Qualifications
Educational Background: Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or a related field.
Experience:
Minimum 10 years total experience, with at least 7 years in data science roles.
Strong fintech experience, especially in risk management or underwriting, combined with exposure to industries like e-commerce.
Technical Skills:
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Hands-on experience with Python, R, SQL, and big data tools like Spark or Hadoop.
Expertise in Databricks and LLM models preferred.
Familiarity with digital analytics tools like Google Analytics, Adobe Analytics, or similar platforms.
Behavioural Data Science:
Expertise in integrating external data sources and analysing behavioural datasets.
Customer-Centric Understanding:
Strong knowledge of customer journey mapping and engagement modelling.
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