Data Science Intern (6-months Internship)

KEY RESPONSIBILITIES

• Build predictive models such as forecasting, optimization and recommendation engines using behavioural and consumption data.
• Develop AI models for audio and video content enhancement.
• Apply LLMs and GenAI techniques to improve content quality and personalization.
• Analyze social media data (Instagram, Facebook, Twitter) using sentiment analysis,theme detection and NER.
• Write clean, modular, and efficient code to build production-grade ML pipelines.
• Deliver best-in-class analytics solutions and maintain analytical infrastructure.
• Proactively identify new data opportunities and solve problems through data-driven approaches.
• Translate business problems into structured analytical problems with clear model frameworks.
• Collaborate with cross-functional stakeholders to align and deliver project outcomes.
• Lead agile analytics workflows including hypothesis testing and experimentation.
• Support deployment and maintenance of analytical models and dashboards.
• Ensure proper data source identification, metric tracking, and reporting standards across projects.

REQUIRED SKILLS & QUALIFICATION

• Graduate or master’s degree in engineering, Math, Statistics, Economics, or relevant quantitative discipline.
• Hands-on experience in applied analytics – predictive modelling, clustering, segmentation, and statistical analysis.
• Proficient in Python or R (mandatory) with sound understanding of statistics and machine learning.
• Experience with SQL and big data querying tools.
• Familiarity with big data platforms like Hadoop, Hive, Pig, Cassandra, Storm (preferred).
• Experience handling audio and video data; knowledge of ASR, TTS, STT technologies is a plus.
• Exposure to LLMs and GenAI tools and their application in solving real-world business problems.
• Knowledge of digital analytics tools (e.g., SiteCatalyst, Google Analytics) is a plus.
• Strong academic track record, analytical mindset, and communication skills.

If you would like more information about how your data is processed, please contact us.