Applications are invited for the Data Science Intern at CommerceIQ, Bangalore. Check the eligibility and other details below!
About CommerceIQ
CommerceIQ’s AI-powered digital commerce platform is transforming the online sales landscape for brands. Its unified e-commerce management solutions enable brands to make more informed, timely decisions by providing insights that optimize the digital shelf, enhance retail media ROI, and drive incremental sales across major global marketplaces. With a network of over 900 retailers, the platform supports more than 2,200 of the world’s leading brands in streamlining their marketing, supply chain, and sales operations. This enables them to profitably expand market share in more than 50 countries.
Data Science Intern – Retail Media Management (RMM)
The RMM team at CommerceIQ is leading the way in leveraging data to influence decision-making and drive business success. This team is tasked with creating methodologies to optimize the advertising budgets of clients, ensuring the most efficient use of resources. Currently, they are seeking a talented and dedicated Data Science Intern to join the team and contribute their skills, innovative ideas, and passion for data in this dynamic environment.
Profile Overview
The Data Science Intern will collaborate closely with experienced data scientists within the Retail Media Management team. Using Python, SQL, and proprietary tools, the intern will develop data science models to address complex business challenges such as bid recommendations, campaign budget allocation, and more. The role will involve conducting detailed data analyses, reviewing results, executing proof-of-concepts (POCs), and deploying effective solutions.
Responsibilities
- Develop and refine data science models using Python and SQL to solve business problems.
- Conduct thorough data analyses to extract meaningful insights and inform business decisions.
- Develop methodologies to spend advertising budgets effectively for our clients.
- Perform detailed validation and interpretation of model results and provide actionable recommendations.
- Create proof-of-concepts to test and demonstrate new strategies or techniques.
- Use in-house tools to deploy data science solutions, ensuring they align with business requirements.
- Collaborate closely with other members of the RMM team, and participate in cross-functional projects as needed.
Qualifications
- Currently pursuing a Bachelor’s, Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field.
- Strong proficiency in Python and SQL.
- Knowledge of data science methodologies, principles, and techniques.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Ability to work both independently and collaboratively in a fast-paced, dynamic team environment.
This internship is an excellent opportunity to gain hands-on experience and contribute to real-world business challenges using data science. CommerceIQ values innovation and encourages our team members to bring fresh perspectives and challenge the status quo. If you’re passionate about data and eager to learn, we’d love to hear from you.
Off campus and must have github and computer science 80% and above grade, participation in hackathons, good to have is contribution to AI Copilot projects while in colleges. Only 2025 passing year is considered.
How to Apply?
Click here to apply for this internship.
Location
Bengaluru, Karnataka, India
