Data Scientist / Analyst Consultant
Solutionec (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and validate machine learning models for fraud, waste, and abuse detection on scheme claims and card data.
- Perform advanced data analytics including NLP, OCR, social network analysis, and deep learning to create fraud detection triggers and generate suspicious case-level outputs with evidence.
- Collaborate with medical experts and business stakeholders to translate domain knowledge into analytical logic and prepare documentation, dashboards, and reports for review and client evaluations.
Minimum Requirements
- Proficiency in Python and/or R for building statistical and machine learning models.
- Experience with SQL and working in large-scale or big data environments.
- Hands-on experience with machine learning techniques like neural networks, decision trees, regression, anomaly detection, clustering, and natural language processing.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Candidate skilled in applying both supervised and unsupervised learning methods on healthcare or transactional datasets with experience in feature engineering and model fine-tuning based on feedback and outcomes.
- Experienced in integrating clinical and domain expertise into analytics workflows and communicating complex model logic and results effectively to non-technical stakeholders.
- Comfortable operating in cloud-based analytics environments, preferably AWS, and proficient with data visualization and reporting tools to present findings clearly.