S&P Global Biggest hiring for Junior Data Scientist Freshers apply now Full Time

S&P Global Biggest hiring for Junior Data Scientist Freshers apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in Gurgaon / India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Apply All Active Superset Hiring For Freshers 

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About Company :

Job Description :

We are looking for a high-potential junior engineer to join our team as a learner and a contributor. Your primary mission is to be the right hand to our senior Data Scientists and Analysts, assisting them in the development and maintenance of advanced forecasting models.

This role is designed for growth. You will gain invaluable experience by working side-by-side with experts in the field. While learning the ropes of high-level Data Science, you will also play a key role in improving our efficiency by helping us automate manual data delivery tasks and writing clean, production-ready Python code.

Required Skills

• Eager to Learn: You are humble, curious, and excited to absorb knowledge from senior team members.
• Collaborative: You enjoy working in a team and supporting others to achieve a shared goal.
• Exposure to Generative AI frameworks.
• Experience or strong interest in the Automotive industry.

Qualification

• Education: Recent Graduate (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or a related quantitative field.
• Experience: 0 – 2 years of experience (Internships and academic projects count!).
• Technical Skills:
• Python First: Strong proficiency in Python is a must. You should be comfortable with libraries like Pandas, NumPy, and Scikit-Learn.
• ML Familiarity: A solid theoretical understanding of Machine Learning concepts (Regression, Classification, Model Tuning).
• Scripting: Ability to write scripts to automate tasks.
• SQL: Basic ability to query databases to retrieve necessary data.

Responsibilities:

• Support Data Scientists: Work closely with senior team members to assist in training, testing, and validating models. Help translate their mathematical logic into functional code.
• Continuous Learning: Actively participate in technical discussions and model planning sessions to build your understanding of the AI lifecycles.
• Workflow Automation: Identify manual data delivery tasks that slow the team down and practice your coding skills by converting them into reliable, automated Python pipelines.
• Python Development: Write clean, efficient, and maintainable Python scripts to support daily analysis and model development.
• Innovation & GenAI: Collaborate with the team to research and prototype using new libraries and frameworks to keep our tech stack on the cutting edge