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S&P Global is hiring for a fresher entry level Data Scientist Apprentice



Position:

  • Job Title: Apprentice, Data Science

Company:

  • Name: S&P Global Mobility

Location:

  • City: Bangalore
  • State: Karnataka
  • Country: India

Job Type:

  • Type: Apprenticeship

Job Mode:

  • Mode: Full-time, on-site

Job Requisition ID:

  • ID: 305807

Years of Experience:

  • Experience Required: Entry-level (no prior professional experience explicitly mentioned)

Company Description

  • About S&P Global Mobility:

    • Renowned for providing cutting-edge automotive insights derived from unparalleled data.
    • Helps clients anticipate market changes and make confident, informed decisions.
    • Supports businesses in optimizing operations and preparing for future mobility trends.

  • Core Values and Purpose:

    • Dedicated to transforming data into actionable insights—“Essential Intelligence.”
    • Embraces values of Integrity, Discovery, and Partnership.
    • Focused on empowering customers through sustainability insights and innovative solutions.

  • Global Presence and Team Culture:

    • A global team of over 35,000 professionals driven by curiosity and innovation.
    • Promotes diversity, equity, and inclusion as core pillars.
    • Advocates for a more equitable and sustainable future.

  • Benefits for Employees:

    • Comprehensive health and wellness plans.
    • Flexible downtime with generous leave policies.
    • Investment in learning, career development, and financial security.
    • Family-friendly perks to support work-life balance.

Profile Overview

  • Summary:

    • An exciting opportunity to embark on a data science career through a structured apprenticeship program.
    • Hands-on learning with real-world applications in the automotive domain.

  • Responsibilities:

    • Building and managing data pipelines for ingestion, transformation, and modeling.
    • Collaborating with subject matter experts on advanced automotive projects.
    • Observing, learning, and contributing to team tasks.
    • Preparing necessary documentation and adhering to safety and organizational standards.

  • Program Highlights:

    • Exposure to advanced data science processes and technologies.
    • Guidance from experienced professionals to build a solid career foundation.
    • Potential for full-time employment upon program completion.

Qualifications

  • Educational Requirements:

    • Bachelor’s degree in Computer Science, specializing in Data Science.

  • Technical Skills:

    • Knowledge of data science and transformation techniques.
    • Proficiency in Python programming.
    • Familiarity with SQL and data visualization tools.

  • Soft Skills:

    • Strong analytical and problem-solving abilities.
    • Effective communication and interpersonal skills.
    • Reliable, punctual, and able to work collaboratively.

  • Other Requirements:

    • Willingness to learn and follow instructions diligently.
    • Adherence to company protocols and standards.

Additional Info

  • Program Benefits:

    • Competitive stipend to support financial needs during training.
    • Mentorship from industry professionals for skill enhancement.
    • Opportunity for full-time employment based on performance.

  • About the Work Environment:

    • Collaborative and inclusive workplace culture.
    • Involvement in pioneering projects with significant market impact.

  • Commitment to Diversity, Equity, and Inclusion:

    • Promotes an inclusive environment where individuals can thrive.
    • Advocates for equitable representation and opportunity across its workforce.

  • Equal Opportunity Statement:

    • All qualified candidates, regardless of background or status, are encouraged to apply.
    • Supportive of candidates requiring accommodations during the hiring process.

Benefits Overview

  • Health and Wellness:

    • Comprehensive healthcare coverage for mental and physical well-being.

  • Work-Life Balance:

    • Flexible downtime policies to keep employees energized.

  • Career Development:

    • Access to educational resources and career growth programs.
    • Student loan assistance and retirement planning support.

  • Family Support:

    • Benefits designed to support family needs, including childcare and partner perks.

  • Additional Perks:

    • Retail discounts, referral incentives, and various lifestyle perks.

Job Posted On: November 14, 2024

Please click here to apply.

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