Data Scientist

Technical / Behavioural

Expertise in Machine Learning (ML) and Artificial Intelligence (AI):

• Ability to interpret business challenges and convert them into ML-based problem statements, followed by designing and executing complete end-to-end solutions.
• Extensive hands-on experience in leveraging data mining and ML methodologies to address complex, real-world business scenarios.
• Proficient in working with diverse data types structured, unstructured, audio, and both static and streaming datasets.
• Advanced proficiency in Natural Language Processing (NLP) and/or Natural Language Understanding (NLU) techniques is essential.
• Strong command of Generative AI and Large Language Models (LLMs), including pre-training, fine-tuning, domain adaptation, and agent-based workflow design.
• Demonstrated ability to stay current with the latest research in ML/GenAI and apply state-of-the-art approaches to practical use cases within the organization.
• Skilled in clearly articulating design decisions, trade-offs, and outcomes to both technical and business stakeholders.

Behavioural / Soft Skills

• Excellent verbal and written communication skills.
• Highly driven and goal-oriented, with a strong sense of ownership.
• Capable of working independently with minimal supervision.
• Effective collaborator in multidisciplinary and cross-functional teams.
• Able to coach, mentor, and support the growth of junior team members.

Additional Skills

• Advanced expertise in Python programming.
• Experience in developing and deploying ML models using cloud services such as AWS SageMaker.
• Familiar with Git-based workflows and CI/CD practices for collaborative, version-controlled development.
• Ability to structure and maintain clean, modular code using functional programming principles; exposure to statically typed functional languages is an advantage.
• Comfortable interacting with various data systems writing REST APIs, SQL queries, and PySpark scripts as needed.
• Experience with containerization technologies such as Docker.

Desirable Skills

• Understanding of recommendation systems and reinforcement learning frameworks.
• Practical experience with frameworks such as LangChain, LangGraph, or LlamaIndex.