Intern - Data Scientist

Role overview

Intern - Data Scientist at Nference

Required qualifications

• Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Economics, or a related quantitative field .
• Strong programming skills in Python , with practical knowledge of Pandas and NumPy for data manipulation and analysis.
• Solid understanding of statistical fundamentals, including data distributions, normalization, hypothesis testing, and anomaly detection.
• Strong analytical skills, with the ability to define, segment, and validate data cohorts using appropriate statistical methods.
• Understanding of machine learning and natural language processing (NLP) fundamentals.
• Familiarity with scikit-learn, SQL for data retrieval, and Git.
• Ability to work with messy, inconsistent, and unstructured datasets with strong attention to detail.
• Good problem-solving, documentation, and communication skills.
• Willingness to learn new tools and apply analytical techniques to real-world healthcare problems.
• Work with real-world healthcare data and practical data science workflows.
• Technical Learning: Gain exposure to machine learning, statistical analysis, data pipelines, and LLM applications.
• Mentorship: Learn from experienced data scientists and engineers.
• Meaningful Impact: Contribute to AI-powered solutions that support biomedical research and healthcare innovation.
• Career Development: Strengthen your analytical and technical skills in a collaborative, research-driven environment.
• Equal Opportunity Employer nference is committed to building a diverse, equitable, and inclusive workplace where everyone has the opportunity to thrive.
• We welcome applicants from all backgrounds who are passionate about learning, innovation, and building technology that transforms healthcare.

Preferred qualifications and skills

• Academic or personal projects involving data engineering, statistical data analysis, or cohort building.
• Exposure to LLM applications, retrieval-augmented generation (RAG), embeddings, or vector databases.
• Familiarity with LLM prompting and structured outputs for data extraction or analysis.
• Awareness of healthcare data privacy concepts and regulations, such as HIPAA.
• What You'll Gain Hands-on

Employment details

• Location: Bangalore, India
• Location: Bengaluru [KA] [India]

About the employer

• nference is an AI-powered technology company transforming biomedical research by leveraging large-scale data, advanced machine learning, and deep scientific expertise.
• Our mission is to accelerate breakthroughs in healthcare and life sciences by building innovative products that help researchers and clinicians solve complex real-world problems.
• Our People At nference, you'll work alongside software engineers, AI researchers, physicians, scientists, and product leaders who are passionate about solving meaningful, real-world problems.
• We foster a culture of ownership, curiosity, collaboration, technical excellence, and continuous learning.
• Our teams are encouraged to ask questions, share ideas, learn from experienced colleagues, and contribute to impactful projects.
• The Opportunity We're looking for a motivated Data Scientist Intern with a strong foundation in Python, statistics, and data analysis.
• This internship offers an opportunity to work with complex healthcare data, develop data processing workflows, and explore practical applications of machine learning and large language models (LLMs).
• You will collaborate with experienced data scientists and engineers to prepare and analyze electronic health record (EHR) data, build data pipelines, validate data quality, and support LLM-assisted information extraction and cohort refinement.
• This role is suited for someone who enjoys solving data-intensive problems, working with messy real-world datasets, and applying statistical reasoning to derive reliable insights.
• What You'll Do Develop data pipelines to fetch, aggregate, clean, and preprocess raw patient data from electronic health records (EHRs).
• Apply statistical methods to understand data distributions, normalize variables, handle variations, detect anomalies, and assess data quality and integrity.
• Define, segment, and statistically validate data cohorts for analysis and research.
• Build basic batch-processing pipelines and automate data transformation workflows.
• Support LLM-assisted workflows using prompting, structured outputs, embeddings, and retrieval techniques for information extraction and cohort refinement.
• Conduct experiments, analyze results, and evaluate data and inference pipeline performance.
• Debug and optimize data processing and inference workflows.
• Use Git for version control and maintain reproducible data workflows.
• Document data cleaning rules, cohort definitions, analytical methods, and results to support reproducibility.
• Follow data privacy, security, and compliance requirements when handling healthcare data.
• What We're Looking For

Additional role details

• Intern - Data Scientist