Vacancy description

Data Scientist (Python, ML, SQL) in Rāniganj, India

35k

India, Rāniganj

34 days ago

Data Scientist (Python, ML, SQL) in Rāniganj, India is listed on Jobeax. Browse 30,000+ vacancies available.

As a member of the Data Transformation team 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 our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.
The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
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
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 your projects and team
Spearhead deployment and model scaling strategies
Leading and mentoring by example including project scrums

2+ years of professional experience in Data Science domain

Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
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
SQL (any variant, bonus if this is a big data variant)
Linux OS (e.g. bash toolset and other utilities)
Version control system experience with Git, GitHub, or Azure DevOps.
Software craftsmanship, adherence to Agile principles and taking pride in writing good code
Techniques to communicate change to non-technical people

Cloud expertise (AWS and GCP preferably)
Expertise in deploying machine learning models in cloud environments
Information, imagination, people, technology–the right combination can unlock possibility and change the world.
We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. Recruitment Fraud Alert
S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, 'pre-employment training' or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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, military veteran status, unemployment status, or any other status protected by law. If you need an accommodation during the application process due to a disability, please send an email to:[HIDDEN TEXT]and your request will be forwarded to the appropriate person.
20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

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