Intern - Data Science

About Us

Job Overview

Key Responsibilities Tasks

• Build predictive models to drive business decisions


• Create visualizations on PowerBI/Tableau/Excel/DataStudio to analyze the datasets


• Create PowerPoint presentations to communicate findings & recommendations to senior leadership teams


• Automate existing process to drive efficiency.


• Experience working with large datasets using MS Excel, SQL and designing machine learning solutions using Python/R.


• Structure an ambiguous business problem and devise a mathematical and/or programming solution


• Execute the solution Azure, AWS, GCP


• Dive deep into data, analyze and discover patterns/root causes


• Design robust and scalable prediction algorithms


• Expertise in Data Science algorithms - in-depth understanding of the math behind the algorithm


• Excellent communication skills


• Passionate about the latest technology trends with a desire for innovation


• Expertise in Python or R


• Expertise in MS Excel & SQL

Preferred Qualifications

• Engineering degree, MBA or any specialized course work in Data Science. Previous exposure in Pharma/Healthcare is advantageous but not mandatory.


• Strong programming skills in Python, with experience in data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch)


• Expertise in statistical analysis, machine learning algorithms, and deep learning techniques


• Experience with big data technologies (e.g., Hadoop, Spark) and SQL databases


• Excellent problem-solving skills and ability to translate complex problems into actionable insights


• Strong communication skills to effectively present findings to both technical and non-technical stakeholders

What We Offer

• Cutting-edge Technology: Opportunity to work on cutting-edge AI projects and shape the future of data visualization


• Rapid Growth: Be part of a high-growth Venture with endless opportunities for career advancement.


• Impactful Work: See your contributions make a real difference in how businesses operate.


• Collaborative Culture: Join a diverse team of brilliant minds from around the world.


• Flexible Work Environment: Enjoy remote work options and a healthy work-life balance.


• Competitive Compensation as per market.

We’re excited to welcome passionate, driven individuals who are eager to learn and grow with our team. If you’re ready to gain hands-on experience, contribute to meaningful projects, and take the next step in your professional journey, we encourage you to apply. We look forward to exploring the possibility of having you onboard.

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