Deputy Manager – Data Scientist – NLP/Gen AI

Role Overview

The Enabling Areas – Information Technology team is responsible for building & maintaining different applications for Deloitte South Asia that focuses on providing employee experience. As a Deputy Manager in our Data Scientist (Information Technology) Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations.

What You Will Do

Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.

Why It Might Be a Fit

You’ll work with cross-functional teams to integrate NLP solutions into production systems and applications, and contribute to research publications and thought leadership in the field of NLP.

Requirements

• Master’s or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
• Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
• Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
• Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Basic understanding of system design and ML-Ops practices.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
• Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
• Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship available
• Relocation assistance

Tagged as: Data Visualization, Python