Job Description

Job requisition ID :: 89264
Date: Oct 16, 2025
Location: Delhi CEC
Designation: Senior Consultant
Entity: Deloitte Touche Tohmatsu India LLP

The Opportunity:

(Brief Overview of the Role)



We are seeking a highly skilled Data Scientists to collaborate and empower HSBC Wealth and Personal Banking Contact Centre Data and Analytics team through advanced analytics, AI/ GEN-AI, ML, and NLP initiatives. The ideal candidate should be proficient in using large data sets, translating complex business problems into analytical frameworks, and designing robust, industry-standard solutions. They must possess expertise in building and implementing AI/ML (supervised/ unsupervised) models and algorithms in a production environment. Top-notch expertise with data mining and analysis methods using Python and various related packages/ modules is a must have, including a proven track record of driving business outcomes through data-centric solutions and insights. They should have a passion for discovering hidden opportunities and solutions by leveraging large data sets to improve business outcomes.

What you'll do:

(List out Key Responsibilities)

Research and devise innovative ML and Deep Learning algorithms for given problems. Execute analytical experiments to solve problems across various domains and industries. Perform data analysis (including cleaning, validation, and error analysis) and utilize algorithms/models to mine big-data stores, improving model accuracy. Possess deep knowledge of Deep Learning and AI Architectures, including Convolutional Neural Networks, Recurrent Neural Networks, Long Short-Term Memory, and Large Language Models (LLMs). Maintain and improve existing ML and Deep Learning algorithms to meet stakeholder-agreed success criteria and deploy models in production. Define and continuously improve feature engineering processes to ensure relevant feature usage, considering varying business constraints. Deliver end-to-end analytical solutions supporting business operations, requiring hands-on experience with tools and scripting languages like SQL, NOSQL, Python. Drive innovation for self and team to deliver incremental business value. Understand business issues and context, develop frameworks for solving unstructured problems, and articulate clear, actionable, analytics-driven solutions. Work with LLMs using prompt engineering and Retrieval Augmented Generation (RAG). Work proficiently within an agile/scrum methodology. Proactively identify and actively work towards closing process gaps. Ensure high-quality delivery of models, analyses, and insights.

What you will need to succeed in the role:

(Minimum Qualification and Skills Required)

M. Tech / Master's Degree / PhD in Computer Science / Mathematics / Statistics or other quantitative fields Experience of delivering Data Science projects with specializations in Deep Learning & NLP Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes. Deep knowledge of math, probability, statistics, and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised Learning Deep analytical thinking with excellent problem-solving abilities Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills. Ability to balance and handle multiple concurrent tasks and/or issues simultaneously. Ability to play a strong functional role while leading a project team to deliver analytic outcomes, collaborating with different functions and joined-up with Operations and Lines of Businesses to implement the solutions. Ability to prioritize activities while working under pressure and balance interactions. Ensure understanding and abiding by compliance framework for policies, data, systems etc. as per group, region, and local standards. Strong engineering background/ experience in development of AI products

What additional skills will be good to have?

(List out good to have skills and certifications)

Experience in LMM/ SLM training and tuning, quantization*

Strong Knowlege on Classical AI*

Hands on expertise on GCP native tools, Looker, Qlik Sense would be a plus * GCP Certification in PDE/GCA would be a plus.