Data Scientist

S&P Global; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Family Friendly Perks

Retail discounts

Job summary

A leading financial analytics firm in Hyderabad is seeking a Data Scientist to create ML-powered products. This role involves designing and deploying innovative data solutions, collaborating with a global team, and mentoring junior members. Ideal candidates should have significant experience in Python, natural language processing, and data science methodologies. Competitive benefits and a supportive work environment await the right individual.

Qualifications

• 2+ years of professional experience in Data Science.
• Expertise in probabilistic machine learning models.
• Ability to communicate technical changes effectively.

Responsibilities

• Design, develop and deploy ML powered products and pipelines.
• Perform exploratory data analysis and model validation.
• Lead stakeholder management and represent the team.

Skills

Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace)

Experience with SOTA models related to NLP

Strong experience in feature engineering and building ML models

SQL knowledge

Problem-solving and debugging skills

Education

Bachelor's degree in Computer Science or related field

Tools

Git or GitHub

Cloud platforms (AWS, GCP)

Job description

Overview

Data Scientist role at S&P Global. You will work on building ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and clients. You will spearhead development of production-ready AI products and pipelines in a global team environment, encouraged for thoughtful risk-taking and self-initiative.

Key Responsibilities

• Design, Develop and Deploy ML powered products and pipelines
• Play a central role in all stages of the data science project life cycle, including:
• Identification of suitable data science project opportunities
• Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
• Evaluation/interpretation of results and presentation to business leaders
• Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
• Training large models both for experimentation and production
• Develop production ready pipelines for enterprise scale projects
• Perform code reviews & optimization for projects and team
• Spearhead deployment and model scaling strategies
• Stakeholder management and representing the team in front of leadership
• Leading and mentoring by example including project scrums

What We’re Looking For

• 2+ years of professional experience in Data Science
• Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace)
• Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
• Expertise in probabilistic machine learning model for classification, regression & clustering
• Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets
• Exposure to Information Retrieval, Web scraping and Data Extraction at scale
• OOP Design patterns, Test-Driven Development and Enterprise System design
• SQL (any variant, bonus if big data variant)
• Linux OS (bash toolset and utilities)
• Version control system experience with Git, GitHub, or Azure DevOps
• Problem-solving and debugging skills
• Software craftsmanship, adherence to Agile principles and taking pride in writing good code
• Techniques to communicate change to non-technical people

Nice to have

• Prior work to show on Github, Kaggle, StackOverflow etc.
• Cloud expertise (AWS and GCP preferably)
• Expertise in deploying machine learning models in cloud environments
• Familiarity with working with LLMs

What’s In It For You

We offer the opportunity to be part of a global company and build solutions at enterprise scale, collaborate with a highly skilled team, and contribute to solving high-complexity, high-impact problems.

Our Purpose

Progress is not a self-starter. It requires a catalyst to be set in motion — information, imagination, people, technology — the right combination can unlock possibility and change the world. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People

We’re more than 35,000 strong worldwide, driven by curiosity and a belief that Essential Intelligence can help build a more prosperous future for us all.

Our Values

Integrity, Discovery, Partnership. We focus on Powering Global Markets and collaborate with customers to achieve shared goals.

Benefits

We take care of you, so you can take care of business. We provide resources to thrive at S&P Global.

Our Benefits Include

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off to stay energized.
• Continuous Learning: Resources to grow your career and skills.
• Invest in Your Future: Competitive pay, retirement planning, continuing education with company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: Perks for partners and children, with strong family benefits.
• Beyond the Basics: Retail discounts and referral incentives.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring And Opportunity At S&P Global

We are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process, please email [e-mail].

US Candidates Only: EEO poster and pay transparency information available as required by law. Pay Transparency Nondiscrimination Provision included where applicable.

Location: Gurgaon, Haryana, India