Technical Skillsets:

- Strong hands-on proficiency in Python and commonly used machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
- Valuable understanding of machine learning and predictive analytics techniques, including classification, regression, survival analysis, feature engineering, model tuning, and explainability methods.
- Hands-on exposure to Natural Language Processing and Deep Learning techniques for structured and unstructured data, including text classification, information extraction, or document analytics.
- Practical exposure to Generative AI and Large Language Models, including prompt engineering, embeddings, Retrieval-Augmented Generation, vector databases, and model evaluation.
- Working knowledge of MLOps and model lifecycle practices, including model deployment support, monitoring, drift detection, retraining, and tools such as MLflow, Airflow, Docker, Kubernetes, or cloud-native ML platforms.
- Strong SQL and data manipulation skills with the ability to work with large structured and unstructured datasets.
- Good understanding of relational databases, data modeling concepts, and data architecture fundamentals.
- Ability to apply structured problem-solving, analytical thinking, and ownership while designing scalable data science solutions.
- Exposure to Group Insurance, healthcare, disability insurance, or claims analytics will be preferred.
- Basic understanding of insurance data structures,



such as policies, insured members, coverages, claims, and related entities, will be an advantage.
- Understanding of healthcare or disability insurance processes, including claims adjudication, utilization management, or provider analytics, will be an added advantage.
- Experience collaborating with cross-functional teams and supporting stakeholder discussions in a project environment.
- Ability to communicate analytical findings and model outputs clearly to both technical and non-technical stakeholders.

Candidate Profile:

- Bachelors/master’s degree in computer science/engineering, Data Science, Mathematics, or related analytics areas are welcome to apply
- 6+ years of hands-on experience in Data Science, Machine Learning, or AI solution development, with experience delivering analytical solutions that support business outcomes. Exposure to healthcare, insurance, disability claims, or other regulated industries will be preferred.
- Ability to design and implement practical data science solutions using structured and unstructured data
- Superior analytical and problem-solving skills
- Outstanding written and verbal communication skills
- Able to work in a fast-paced, continuously evolving environment and take ownership of challenging analytical tasks
- Can understand cross cultural differences and can work with clients across the globe

📌 Data Scientist (Noida)
🏢 Crescendo Global Leadership Hiring India
📍 Noida