Description :

The company is a provider of AI / ML driven productivity solutions for large enterprises. It is dedicated to innovation, R&D, and creating sustained value for clients. It has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction.

Their smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients.

Location : Gurgaon

Working Model : Hybrid (1 day a week). Remote working option available for the right candidate.

Role: Direct working with south-east asia based client

Ideal expertise and experience :

- We are actively seeking a talented and results-driven Data Scientist to join our team and take ownership of deliverables through the power of data analytics and insights.

- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.

- Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.

- Expertise in programming languages such as SQL, Python/PySpark and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).

- Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings).

- Deep understanding of machine learning algorithms, model evaluation, and feature engineering.

- Experience with frameworks like scikit-learn, TensorFlow, or Py torch.

- Deep understanding of ML and Deep Learning is a must

- Basis NLP experience is highly valuable.

- Pyspark experience is highly valuable.

- Competitive coding experience (LeetCode) is highly valuable.

- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.

- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)

- Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance

- Ability to understand business objectives, market dynamics, and strategic priorities.

- Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision making.

Qualifications :

- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.

- Minimum of 3 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams.

Skills :

- Excellent verbal and written communication skills

- Proven experience leading data science projects, managing timelines, and delivering results within deadlines

- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.