Data Science Internship at CommerceIQ – Launch Your Career in AI & Analytics

Are you searching for a Data Science Internship at CommerceIQ? If you’re a data enthusiast eager to apply machine learning, analytics, and AI to solve real-world e-commerce challenges, this internship is a golden opportunity!

CommerceIQ is looking for highly motivated data science interns to join their Retail Media Management (RMM) team in Bengaluru, India. If you’re passionate about big data, predictive modeling, and AI-powered solutions, this internship will help you gain hands-on experience with cutting-edge technologies in the e-commerce industry.

📍 Location: Bengaluru, Karnataka, India
🏢 Company: CommerceIQ
🎓 Eligibility: 2025 Graduates in Computer Science, Data Science, or related fields

Join Our Telegram Community : https://t.me/opportunexus

Why Choose a Data Science Internship at CommerceIQ?

CommerceIQ is an industry leader in AI-powered digital commerce, helping brands optimize marketing, supply chain, and sales operations. Their advanced AI-driven platform enables global brands to enhance advertising ROI, increase sales, and streamline digital operations.

Roles & Responsibilities of a Data Science Intern

1️⃣ Develop & Optimize AI Models

✔ Build data science models using Python and SQL.
✔ Work on ad budget optimization, bid recommendations, and predictive analytics.

2️⃣ Data Analysis & Insights Generation

✔ Conduct deep data analysis to extract meaningful insights.
✔ Develop methodologies to optimize e-commerce advertising performance.

3️⃣ Machine Learning Deployment

✔ Implement AI-driven solutions using in-house tools.
✔ Execute proof-of-concept (POC) projects to enhance decision-making processes.

4️⃣ Collaboration & Innovation

✔ Work alongside senior data scientists and AI engineers.
✔ Participate in cross-functional projects in a fast-paced tech environment.

Who Can Apply?

✅ Currently pursuing a B.Tech, M.Tech, or PhD in:

Computer Science
Data Science
Statistics, Mathematics
Or related fields

✅ Required Skills:
✔ Proficiency in Python & SQL for data analysis.
✔ Understanding of data science methodologies and AI models.
✔ Strong analytical skills with attention to detail.
✔ Ability to work independently and in teams.

✅ Preferred Qualifications:
✔ 80% or above academic score in computer science.
✔ Experience in GitHub projects & hackathons.
✔ Contribution to AI Copilot projects (preferred but not mandatory).