Apprentice – Data Scientist

About Company :

S&P Global provides governments, businesses, and individuals with market data, expertise, and technology solutions for confident decision-making. Our services span from global energy solutions to sustainable finance solutions. From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains, our solutions help unlock new opportunities and solve challenges.

We are widely sought after by many of the world’s leading organizations to provide credit ratings, competitive benchmarking and data driven analytics in global capital markets, commodity, and automotive markets. Our divisions include S&P Global Market Intelligence, S&P Global Ratings, S&P Global Commodity Insights, S&P Global Mobility, S&P Dow Jones Indices, and the renowned S&P 500 index. Additionally, our S&P Global Sustainable1 brings sustainability benchmarking, analytics, and evaluations together, to help customers achieve their sustainability goals.

Job Description :

To handle data analytics issues in our company, we are seeking a highly innovative data scientist to gather vast amounts of data from various sources, clean and analyze the data, develop solutions to problems, and interact with stakeholders.

You must be tech-savvy, creative, and inquisitive to succeed in this role. You must be proficient in writing algorithms, possess a strong grasp of statistics and mathematics, and stay current with data programming software and apps. The best applicants will be tenacious and possess superior analytical and problem-solving abilities.

Key Responsibilities:

• Assist in data collection, cleaning, and pre-processing.
• Support the team in developing models and proof of concepts.
• Research on latest AI/ML technologies.
• Contribute to data visualization and reporting efforts.
• Participate in team meetings and brainstorming sessions.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
• Strong familiarity with Python programming language.
• Basic understanding of machine learning concepts and common Frameworks
• Strong analytical and problem-solving skills.

Preferred Skills:

• Internship or project experience in data science.
• Eagerness to learn and adapt quickly.
• Excellent communication skills.
• Knowledge on the commodity market.