Technology & Data Science Intern

Internship Opportunity – Technology & Product Development in Financial Research Services

Location:

Duration:

Compensation:

Start Date:

About RCK Analytics

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.

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.

About the Internship

We are offering a 6-month, paid internship program

Senior AI/ML Engineer and a Data Scientist

Data Engineering:

AI/ML Applications:

Full-Stack Development:

Cloud & Automation:

Please note that this is not an academic training program.

Key Responsibilities

·      Design and implement data ingestion and transformation workflows

AI/ML-driven features

web application development

cloud-based deployment and integration

prototype, test, and refine product features

client project cycles

What We Expect

·      Strong foundation in Python

SQL

web framework

Git

cloud environments (AWS/Azure/GCP)

projects or prior internships

What You Will Gain

·      Hands-on exposure to cross-functional projects

·      Mentorship from senior engineers and data scientists with deep domain and technical expertise.

production-grade client projects

data engineering, AI/ML, automation, web development, and cloud deployment

quantitative research, fintech product engineering, and applied AI in finance

Who Should Apply

We are looking for problem-solvers and builders

Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related disciplines

Python

Pandas, NumPy, TensorFlow/PyTorch, Flask/Django, React/Angular

cloud environments (AWS/Azure/GCP)

data engineering, AI/ML, or full-stack development

finance, markets, and data-driven research

Screening & Selection Process

The selection process is designed to identify serious candidates who can deliver in a professional setting:

1.   A Take-Home Technical Screening Test

Interview Round

Final Fit Assessment

technical test

How to Apply

Send your application to hr@rckanalytics.com

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.