Technology & Data Science Intern (Remote)

Technology & Data Science Intern

Company Overview

RCK Analytics is a leading provider of research-driven insights and product solutions for the global financial services industry. We work with clients across Investment Research (IR), Equity Research (ER), Investment Banking (IB), Private Equity (PE), Venture Capital (VC), etc. to deliver technology-powered solutions that blend deep financial expertise with cutting-edge data science, AI/ML, and engineering practices.

Our teams focus on building next-generation platforms, automation workflows, and intelligent products that transform how financial professionals consume, analyze, and act on information, combining data engineering, applied AI/ML, automation, web development, and cloud solutions.

Job Summary

We are offering a 6-month, paid internship program designed for motivated individuals eager to bridge technology and finance. Unlike traditional academic AI/ML projects, this internship gives you direct exposure to real-world client deliverables in the financial research domain.

As an intern, you will work under the mentorship of a Senior AI/ML Engineer and a Data Scientist, and collaborate on projects that span:· Data Engineering: Building and optimizing data pipelines for structured/unstructured financial datasets.· AI/ML Applications: Applying AI/ML not just for modeling, but for automation, intelligence augmentation, and product development.· Full-Stack Development: Developing web-based tools, dashboards, and research platforms used by financial clients.· Cloud & Automation: Leveraging cloud-native solutions, APIs, and process automation to deliver scalable products.

Please note that this is not an academic training program. It is a professional, production-level internship where you will work directly on real client projects, under the guidance of senior engineers and data scientists. We are looking for candidates who can immediately contribute to engineering and product development workflows, not those seeking to “try out” data analysis after a few online tutorials.

Key Responsibilities

• Design and implement data ingestion and transformation workflows for financial data.
• Assist in developing AI/ML-driven features (e.g., NLP for financial text, analytics automation).
• Contribute to web application development (front-end + back-end) for client-facing tools.
• Collaborate on cloud-based deployment and integration of data/AI products.
• Work with the senior engineering team to prototype, test, and refine product features for financial services use cases.
• Participate in client project cycles, contributing to actual deliverables rather than sandbox-only projects.

Requirements / Qualifications

• Strong foundation in Python (beyond notebooks — you should be comfortable writing modular, production-quality code).
• Working knowledge of SQL and data structures.
• Familiarity with at least one modern web framework (Flask/Django/FastAPI on the backend, React/Angular/Vue on the frontend).
• Comfort with Git, version control, and collaborative workflows.
• Exposure to cloud environments (AWS/Azure/GCP) is a plus.
• Demonstrable projects or prior internships that show applied problem-solving skills in data engineering, AI/ML, or web development.

What You Will Gain

• Hands-on exposure to cross-functional projects at the intersection of finance and technology.
• Mentorship from senior engineers and data scientists with deep domain and technical expertise.
• Opportunity to work on production-grade client projects rather than isolated academic exercises.
• Skill development across data engineering, AI/ML, automation, web development, and cloud deployment.
• A strong foundation to pursue careers in quantitative research, fintech product engineering, and applied AI in finance.

Who Should Apply

We are looking for problem-solvers and builders who are passionate about technology’s role in financial services. Ideal candidates:

• Pursuing or recently completed a Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related disciplines.
• Strong programming foundation in Python (must), plus familiarity with SQL, JavaScript/TypeScript, or similar.
• Exposure to frameworks/libraries like Pandas, NumPy, TensorFlow/PyTorch, Flask/Django, React/Angular.
• Familiarity with cloud environments (AWS/Azure/GCP) is a plus.
• Prior projects in data engineering, AI/ML, or full-stack development (academic or personal) will be valued.
• Curiosity about finance, markets, and data-driven research is a strong differentiator.

Application Process

Send your application to [email protected] with the subject line: "Technology Internship [Batch October 2025] Application" at the earliest.

Make sure you send us three things – 1. Resume/CV highlighting relevant coursework and projects.2. Portfolio/GitHub (if available) showcasing previous technical work.3. A brief note (max ~200 words) on what do you understand by the use case of the internship and how do you have the edge over other candidates.

Location

Pune, Maharashtra, India (On-site)

Employment Type

Full Time