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Data Science. - Insurance Vertical @ Sutherland

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 Data Science. - Insurance Vertical

Job Description

Sutherland is seeking an organized and reliable person to join us as a Manager Data Science. We are a group of driven and supportive individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!


Location : Chennai / Bangalore / Kochi


Manager Responsibilities:

  • Data Analytics and Insights:
  • Conduct analytics to identify patterns and generate actionable insights to support strategic decisions.
  • Process Unstructured data to drive actionable insights.
  • Translate quantitative analyses into comprehensive visuals and reports for non-technical audiences.
  • Model Development and Validation:
  • Build, validate, measure, and retrain machine learning models, including supervised and unsupervised algorithms.
  • Apply expertise in Natural Language Processing (NLP) and Generative AI to solve complex business challenges.
  • Deployment and Collaboration:
  • Collaborate with AI Engineers to deploy machine learning models and set up inference processes.
  • Ensure models are scalable, maintainable, and aligned with organizational goals.

  • What Will you focus on :
  • Risk Assessment and Pricing: Developing predictive models to evaluate risks and set accurate premiums. By analyzing historical data, they identify patterns that inform underwriting decisions.
  • Fraud Detection: Implementing machine learning algorithms to detect fraudulent activities by identifying anomalies in claims data. This proactive approach helps in minimizing losses due to fraud.
  • Customer Segmentation and Personalization: Analyzing customer data to segment the market and tailor insurance products to specific groups, enhancing customer satisfaction and retention.
  • Claims Management Optimization: Utilizing data analytics to streamline the claims process, ensuring timely and accurate settlements. This includes predicting claim volumes and identifying potential bottlenecks.
  • Marketing Strategy Enhancement: Assessing the effectiveness of marketing campaigns and identifying opportunities for customer acquisition and retention

Requirements:

  • Experience: 6-7 years of experience in Insurance analytics or a related domain
  • Education: bachelors degree in Engineering, Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Proficiency in programming languages and data analysis tools such as Python, R, PySpark, and SQL.
  • Solid experience in developing predictive modeling techniques (look-a-like models, time series forecasting, regression, clustering)
  • Ability to design, implement, and refine business rules for optimizing the Claims and Underwriting value chains is a good to have.
  • Familiarity with working in cloud environment (AWS/ AZURE), using distributed compute for large datasets, and version control tools (eg Git)
  • Data Proficiency: Expertise in handling large-scale Insurance datasets and applying statistical and machine learning methods to drive actionable insights.
  • Data Storytelling & Communication: Demonstrated ability to translate complex data insights into clear, compelling narratives and presentations. Adept at communicating technical findings in a relatable manner to non-technical stakeholders.
  • Autonomy & Prioritization: Proven ability to work independently, manage multiple projects/workstreams, and prioritize effectively in a fast-paced, data-driven environment.
  • Problem-Solving & Collaboration: Demonstrated ability to troubleshoot complex data issues, optimize system performance, and work effectively within a team environment.

Job Classification

Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Manager - Data Science
Employement Type: Full time

Contact Details:

Company: Sutherland
Location(s): Kochi

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Keyskills:   insurance Data science AWS

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Sutherland

Sutherland Established in 1986, Sutherland Global Services is a global provider of business process and technology management services. Sutherland offers an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle. One of the l...