This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements.

KEY RESPONSIBILITIES :

- Data Science : Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization.

- Data Engineering : Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics.

- Data Analysis and Insight Generation : Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services.

- Stakeholder Collaboration : Work with product and service teams to understand data needs and translate them into technical solutions.

Working Relationships :

- Reporting to Project Manager

- External Stakeholders Clients

Skills/ Competencies Required :

Technical Skills :

- Proficiency with Python (Pandas, NumPy), SQL, and Java.

- Experience with LLMs, LangChain, and Generative AI technologies.

- Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka).

- Microservices, CI CD, ML

- Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders.

- Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.

- Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.

- Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.

Soft Skills :

- Work in a team/ Independently.

- Excellent Written & Verbal Communication Skills

- Solid critical thinking and questioning skills.

- High degree of flexibility - willing to fill in the gaps rather than relying on others

- Strong communication skills, especially in presenting data insights.

- Flexibility, problem-solving, and a proactive approach in a fast-paced environment