S&P Global, Turing & Caterpillar Jobs 2026 | Data, AI & Automation Roles
Fresh graduates, data professionals, and early-career engineers can explore opportunities at S&P Global, Turing, and Caterpillar across data operations, AI and data science, and robotics automation. These roles offer different career paths for candidates interested in financial data, artificial intelligence, software development, analytics, and engineering systems.
The opportunities provide practical exposure to research and financial datasets, AI model evaluation and training, Python-based development, robotics software, testing, troubleshooting, and software development processes. Choosing the right role based on your background can add meaningful industry experience, strengthen your resume, and open future career opportunities.
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1. S&P Global Apprentice, Data Operations – Ahmedabad
| Company | S&P Global |
| Role | Apprentice, Data Operations |
| Job ID | 331333 |
| Department | Data Management |
| Program | 12-Month Apprenticeship |
| Qualification | BBA/BMS/BCom 2026 graduates OR PGDM/MBA Finance 2026/2027 graduates |
| Work Mode | Not Disclosed |
| Shift | 24×5 rotational shifts, including night shifts |
| Salary/Stipend | Not Disclosed |
About the Role
S&P Global’s Data Operations apprenticeship involves researching reports and company documents, collecting information, and generating meaningful consensus from collected data. The role also includes real-time monitoring of global industry trade publications, websites, and news aggregators. Teams within the Enterprise Data Organization include Fundamentals, Private Equity, Investment Management, Filings & Sourcing, Public Ownership, and Pricing Data across derivatives and equities.
Role Overview
The role focuses on maintaining high-quality financial data that clients use to make informed decisions. Apprentices will use government and regulatory documents, stock exchanges, industry journals, analyst reports, public research sources, and internal research tools to collect, summarize, and synthesize relevant information.
About the Apprenticeship Program
The apprenticeship is a skill-training program governed by the Apprenticeship Act, 1961 in India. Participants work with industry experts and gain on-the-job experience while developing professional skills, business knowledge, and industry understanding. S&P Global is looking for young fresh graduates and postgraduates for a 12-month apprenticeship program.
Eligibility Criteria
- Candidates must not already be registered on the NAPS portal as apprentices.
- Candidates should not have an active UAN/PF account.
- Fresh BBA/BMS/BCom graduates passing in 2026 are eligible.
- PGDM/MBA candidates specializing in Finance with passing years 2026 and 2027 are eligible.
- Candidates must be willing to work rotational shifts based on business requirements.
- The environment operates 24×5 with rotational shifts, including night shifts.
Key Responsibilities
- Collect, analyze, extract, and enter high-quality financial data into work tools according to guideline specifications for the assigned vertical.
- Understand dataset workflows and maintain strong working knowledge of work tools.
- Deliver predefined individual and team targets with quality and excellence.
- Troubleshoot problems or issues and support the team in improving workflows and processes.
- Respond to emails from coworkers and managers on time.
- Demonstrate proactiveness and aptitude for new learning.
Required Skills & Qualifications
- Commerce background through BBA, BMS, or BCom.
- 2026 passing year for eligible undergraduate candidates.
- PGDM/MBA specialization in Finance with 2026 or 2027 passing year.
- Excellent written and oral communication skills.
- Strong understanding of corporate finance and accountancy.
- Knowledge of financial statements and annual reports.
- Adaptability to work across different time zones.
- Proficiency in MS Office, including Excel, Word, and PowerPoint.
- Strong quantitative, analytical, and interpretive skills.
Salary & Benefits
The provided job description does not disclose the apprenticeship stipend or salary. The program highlights learning opportunities, on-the-job experience, networking, business insights, and tailored development opportunities.
Why This Opportunity Is Valuable
This apprenticeship is particularly relevant for commerce and finance graduates who want to understand global markets and financial data operations. The combination of research, financial statements, annual reports, data analysis, and exposure to global teams can provide a useful foundation for careers in financial data, research, investment operations, and related areas.
Recommended Skills & Learning Resources
Strengthen Excel, financial statement analysis, accounting fundamentals, data interpretation, research, and business communication. Candidates interested in broader analytics careers can also build their foundation through the Data Science Complete Course.
Interview Preparation
Prepare for accounting and finance fundamentals, financial statements, annual reports, Excel, data interpretation, analytical reasoning, communication, and situational questions. Be prepared to explain how you would research a company document and identify reliable information from multiple sources.
How to Apply for S&P Global Apprentice, Data Operations
- Open the official S&P Global careers listing for Job ID 331333.
- Review the apprenticeship eligibility criteria carefully.
- Prepare your resume highlighting finance, accounting, Excel, research, and analytical skills.
- Complete the online application through the official careers portal.
- Submit the required information and monitor your application status.
Apply for S&P Global Apprentice
2. Turing Data Scientist / Analyst – Remote
| Company | Turing |
| Role | Data Scientist / Analyst |
| Employment Type | Contractor Assignment |
| Work Mode | Fully Remote |
| Skills | Python, Data Analysis, Data Science |
| Qualification | Bachelor’s/Master’s in Engineering, Computer Science, or equivalent experience |
| Commitment | Minimum 20 hours/week; options of 20, 30, or 40 hours/week |
| Time Requirement | At least 4 hours/day with 4 hours overlap with PST |
| Contract Duration | 1 month |
| Expected Start | Next week, as stated in the provided listing |
| Leave | No medical/paid leave |
| Salary | Not Disclosed |
About Turing
Turing is an AI company focused on advancing and deploying AI systems. According to the provided role description, Turing works with leading AI labs to advance capabilities in areas such as reasoning, coding, agentic behavior, multimodality, multilingual AI, STEM, and frontier knowledge, while also helping organizations build real-world AI systems.
Role Overview
The Data Scientist/Analyst opportunity is designed for professionals proficient in Python and data analysis who want to contribute to AI model development and evaluation. The work combines coding, data analysis, AI model evaluation, dataset creation, reasoning, documentation, and collaboration with researchers and annotators.
Key Responsibilities
- Design, develop, and maintain efficient, high-quality code to train and optimize AI models.
- Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
- Evaluate and rank AI model responses to user queries across diverse domains using predefined criteria.
- Develop comprehensive explanations and rationales for evaluations.
- Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality task-specific datasets.
- Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
- Design evaluation strategies and processes to improve model alignment with user needs and ethical guidelines.
- Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
- Conduct peer reviews of code and documentation.
- Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
- Continuously explore and integrate new tools, techniques, and methodologies to improve AI training processes.
Required Skills & Qualifications
- Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
- Desire to make a significant impact in artificial intelligence.
- Strong data analytics abilities and business sense.
- Ability to draw appropriate conclusions from datasets and clearly communicate findings.
- Excellent problem-solving and analytical skills.
- Excellent communication abilities for working with stakeholders and researchers.
- Fluent conversational and written English communication skills.
- Strong Python skills.
Contract & Work Details
- Fully remote working environment.
- Opportunity to work on AI projects with leading LLM companies.
- Minimum commitment of 4 hours per day.
- Minimum 20 hours per week.
- Options for 20, 30, or 40 hours per week.
- Four hours of overlap with PST is required.
- Contractor assignment rather than a conventional full-time employee role.
- No medical or paid leave.
- Contract duration is one month.
Evaluation Process
- Approximately 75 minutes in total.
- 60-minute technical interview.
- 15-minute cultural and offer discussion.
Perks
The role provides a fully remote environment and an opportunity to work on cutting-edge AI projects with leading LLM companies.
Salary
The provided job description does not disclose a fixed salary or compensation amount. Candidates should confirm the contractor compensation structure and current engagement terms before accepting an assignment.
Why This Opportunity Is Valuable
This opportunity is relevant to candidates who want hands-on exposure to modern AI development workflows rather than conventional business analytics alone. Work involving Evals, SFT, RLHF, datasets, model responses, Python, and AI research collaboration can help candidates develop skills relevant to the growing AI engineering and model evaluation ecosystem.
Recommended Skills & Learning Resources
Focus on Python, statistics, data analysis, machine learning fundamentals, Jupyter notebooks, dataset handling, model evaluation, prompt quality, and clear technical communication. Build practical projects that demonstrate how you analyze datasets and communicate conclusions.
Interview Preparation
Prepare for Python, data analysis, statistics, machine learning concepts, reasoning, dataset interpretation, model evaluation, and practical analytical scenarios. Since the evaluation includes a technical interview, practice explaining your reasoning clearly while solving data or programming problems.
How to Apply for Turing Data Scientist / Analyst
- Open the Turing job listing.
- Review the contractor requirements and time commitment.
- Prepare a resume emphasizing Python, data analysis, AI/ML, and relevant projects.
- Complete the online application.
- Proceed through the technical and cultural evaluation process if shortlisted.
Apply for Turing Data Scientist / Analyst
3. Caterpillar Automation Engineer – Bangalore / Chennai
| Company | Caterpillar Inc. |
| Role | Automation Engineer |
| Requisition ID | R0000392129 |
| Location | Bangalore, Karnataka / Chennai, Tamil Nadu, India |
| Category | Engineering |
| Employment Type | Full-time |
| Job Type | Regular |
| Experience | Freshers |
| Qualification | Degree in accredited Engineering, Computer Science, or Materials Science curriculum |
| Posted | September 14, 2026 |
| Apply By | September 27, 2026 |
| Salary | Not Disclosed |
About Caterpillar
Caterpillar describes itself as a global company focused on building stronger, more sustainable communities through engineering, problem solving, and innovation. The Automation Engineer role sits within the Engineering career area and focuses on robotics software development, testing, validation, and troubleshooting.
Role Overview
The Automation Engineer assists with the design, definition, development, and testing of robotics software. The role involves working with senior engineers to address customer needs while contributing to robotic platform software, algorithms, documentation, validation, and technical troubleshooting.
Key Responsibilities
- Collect and research data on customer experience with robotic platforms and prepare reports for management.
- Document architecture specifications, software design descriptions, verification plans, test cases, operating procedures, and safety procedures.
- Use appropriate tools to debug, test, and maintain software and hardware systems of robotic tools.
- Assist in verification and validation processes.
- Participate in design and development of application software and algorithms for robotic platforms.
Required Qualifications
- Degree in an accredited Engineering, Computer Science, or Materials Science curriculum.
- Knowledge of industry trends, directions, major issues, regulatory considerations, and relevant products and services.
- Problem-solving skills and ability to recognize, anticipate, and resolve organizational, operational, and process problems.
- Understanding of software development life cycle methodologies.
- Knowledge of software product testing and testing strategies.
- Understanding of application and system development tools.
- Basic understanding of artificial intelligence concepts and technologies.
- Programming knowledge and ability to write, test, debug, troubleshoot, and maintain source code.
- Technical troubleshooting skills across hardware, software, applications, and operations.
Technical Areas Covered
- Software Development Life Cycle.
- Software product testing.
- Functional, volume, load, and performance testing.
- Application development tools.
- Artificial intelligence fundamentals.
- Programming and structured programming techniques.
- Hardware and software troubleshooting.
- Robotics software and algorithms.
Salary & Benefits
The provided job description does not disclose salary or specific benefits for this position. Candidates should verify the current compensation package through the official Caterpillar recruitment process.
Why This Opportunity Is Valuable
Caterpillar’s role is a strong fit for engineers who want to work at the intersection of robotics, software, testing, AI, and hardware. The opportunity to participate in robotic platform development, verification and validation, software testing, algorithms, and troubleshooting can provide valuable experience for an engineering career focused on automation and robotics.
Recommended Skills & Learning Resources
Build strong programming, software testing, SDLC, debugging, algorithms, AI fundamentals, and technical troubleshooting skills. Candidates interested in programming foundations can use the Python Course and Notes as a starting point.
Interview Preparation
Prepare for programming, software development lifecycle, software testing, debugging, algorithms, AI fundamentals, robotics concepts, and troubleshooting scenarios. Review your academic and personal projects carefully because the role involves applying engineering concepts to real software and hardware systems.
How to Apply for Caterpillar Automation Engineer
- Open the official Caterpillar careers listing for Requisition R0000392129.
- Check the role requirements and application deadline.
- Prepare a resume highlighting engineering, programming, testing, robotics, AI, or automation projects.
- Submit your application through the official Caterpillar careers portal.
- Apply before the stated deadline of September 27, 2026.
Apply for Caterpillar Automation Engineer
Which Opportunity Should You Choose?
| Company | Best For | Key Skills | Career Direction | Work Setup |
|---|---|---|---|---|
| S&P Global | Commerce & Finance Graduates | Financial Data, Accounting, Excel, Research, Analytics | Financial Data & Research | Ahmedabad; rotational shifts |
| Turing | AI & Data Professionals | Python, Data Analysis, Evals, SFT, RLHF, AI | AI / Data Science | Fully Remote |
| Caterpillar | Engineering & Robotics Candidates | Programming, Testing, AI, Robotics, SDLC, Troubleshooting | Robotics & Automation Engineering | Bangalore / Chennai |
S&P Global is the most relevant option for 2026 commerce graduates and finance-focused PGDM/MBA candidates who want financial data and research exposure. Turing is better suited to candidates with strong Python, analytics, and AI interests who are comfortable with a short-term contractor engagement. Caterpillar is the strongest choice for engineering and computer science candidates interested in robotics software, testing, AI, and automation.
Related Opportunities
- Eaton, iamneo & SiFive Jobs 2026: Freshers Apply for IT, Trainer & System Validation Roles
- Graduate Trainee Jobs 2026: Siemens, Wipro & NTT DATA | Freshers
- Qualcomm Associate Engineer HW Jobs 2026 | Campus Hire | Freshers
Frequently Asked Questions
1. Which opportunity is suitable for 2026 commerce graduates?
The S&P Global Apprentice, Data Operations role specifically accepts 2026 BBA, BMS, and BCom graduates, as well as eligible finance-specialized PGDM/MBA candidates from the stated passing years.
2. Which role is fully remote?
The Turing Data Scientist/Analyst role is fully remote. It is a contractor assignment with a minimum commitment of 20 hours per week and a required four-hour overlap with PST.
3. What is the application deadline for the Caterpillar Automation Engineer role?
The provided Caterpillar listing states that applications are open from September 14, 2026 through September 27, 2026.
Final Takeaway
These three openings cover three distinct career paths: financial data operations at S&P Global, AI and data work at Turing, and robotics automation engineering at Caterpillar. Match your degree and technical strengths to the role, prepare relevant projects and skills for the selection process, and apply through the official recruitment page after checking the latest job status and eligibility details.
