Manager - Data Scientist (3-6 yrs)

About the Role

We're seeking a talented and experienced Data Scientist to join our dynamic team supporting a leading financial services multinational client (MNC). This role offers an exciting opportunity to leverage your expertise in Natural Language Processing (NLP), Machine Learning (ML), and statistical analysis to solve real-world business challenges within the Asset & Wealth Management domain.

Additional Information

- This is an individual contributor role with a hybrid work schedule.

Working Hours - 2PM IST - 11 PM IST

Your Responsibilities:

- You will work with a diverse range of financial data sources.

- Utilize cutting-edge large language models (LLMs), machine learning techniques, and statistical analysis to address critical business needs for our client.

- Develop and implement innovative NLP/ML solutions that drive transformation and deliver tangible value to our client.

- Actively curate and manage datasets for model training and evaluation, ensuring data quality and integrity.

- Continuously monitor and improve model performance through feedback analysis and active learning techniques.

Who We're Looking For:

- A highly motivated and results-oriented Data Scientist with a minimum of 3 years of experience.

- Possess a postgraduate qualification (Masters or Ph.D.) in Statistics, Economics, Mathematics, Computer Science (B.Tech), or a relevant field.

- Demonstrate in-depth expertise in NLP, LLMs, and ML techniques, with a proven track record of applying them to solve complex business problems.

- Proficiency in Python programming with the ability to write clean, production-ready code.

- Solid understanding of various ML algorithms, including clustering, decision trees, and gradient descent.

- Hands-on experience with deep learning toolkits like PyTorch, Transformers, and HuggingFace.

- Possess a strong grasp of language models, prompt engineering, model fine-tuning, and domain adaptation techniques.

Why Join Us?

This role offers a unique opportunity to contribute to cutting-edge projects within the financial services industry. You'll work alongside a talented team of data scientists and domain experts, fostering a collaborative and intellectually stimulating environment.