32 Data Science jobs in Tirupati

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

Job title: Data Science Intern- Remote

Report to: Data Science Manager in Pune

Job Responsibilities

• Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems
• Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches.
• In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets
• Communicate highly technical results and methods concisely and clearly
• Collaborate with researchers in Japan to understand requirement as well request data.

Requirement

• Master/Ph.D. in relevant field from tier-1 colleges
• 1~2 years of experience with programming language/s Python or C++, Pandas
• 1~2 years of experience of working with deep learning framework, i.e. Pytorch or Tensorflow
• Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc.
• Demonstrated experience with machine learning/deep learning models.
• Candidates should be able to read and implement research papers from top conferences.
• Develop IP (patents) and publish papers.
• Proficiency in Windows, Linux, dockers, PPT, and Git commands are highly required.

Preferred Skills

• Experience working with time-series, text, and sequential datasets in real world settings.
• Proven track record of research or industry experience on Time series problems, NLP, tabular datasets.
• Well acquainted with machine learning libraries such as pandas, scikit-learn etc.
• Experience programming in Azure or GCP or other cloud service.
• Publications in top-tier conferences will be a plus.

Location

This is a remote internship. If your performance is strong, we will consider converting your role to a full-time position after six months.

Job Description: Data Science Lead, Clinical Intelligence

Company Overview

Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.

Job Title

Data Science Lead, Clinical Intelligence

Location

Pune, India (hybrid office/remote) or fully remote within India.

Job Summary

We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.

Key Responsibilities

• Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
• Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
• Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
• Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
• Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
• Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
• Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.

Qualifications and Requirements

• Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
• 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
• Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
• Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
• Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
• Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
• Based in India; open to remote or hybrid work in Pune.
• Strong leadership and communication skills for global client collaboration.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
• Knowledge of SaaS platforms and API integrations for client data.
• Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
• Expertise in mitigating data biases for fair AI predictions.

What We Offer

• Highly Competitive salary based on experience with performance bonuses.
• Flexible remote/hybrid work, health benefits, and learning opportunities.
• Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
• Collaborative, global team environment.

About Emeritus:

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.

Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.

Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

About the Role:

The Learning Support Specialist serves as both a subject matter expert and mentor, playing a pivotal role in the learning experience. You will guide learners through their educational journey in programs focused on one or more areas including machine learning, artificial intelligence, data engineering, data science, and data analytics , supporting learners from beginners to career-advancing professionals.

Day-to-day, you will:

• Respond to learner questions with clear, actionable guidance
• Provide constructive feedback on assignments and projects
• Break down complex technical concepts into digestible explanations
• Mentor learners at varying experience levels, ensuring each feels supported and motivated
• Collaborate with internal teams to identify course improvements
• Help resolve delivery challenges and escalations

What we’re looking for : A professional who combines deep technical expertise with strong interpersonal skills and genuine passion for education. The ideal candidate seamlessly blends technical knowledge with empathy and exceptional communication abilities.

This is a full-time, remote position in a dynamic edtech environment where learner success is a top priority.

Skills and Qualifications:

• We’re looking for candidates with ANY ONE of these backgrounds:
• Professional experience: 2+ years’ in data engineering, data science, or data analytics OR
• Academic background : PhD (or pursuing PhD) in computer science with a focus on data-related specialties OR
• Teaching experience : Teaching, tutoring, or teaching assistant experience in data, mathematics, or ML/AI OR
• Support experience : Learning support in data-related technical bootcamps or higher education
• Strong background in mathematics (statistics, calculus, linear algebra).
• Strong academic or professional grounding in machine learning and artificial intelligence .
• Proficiency in Python and libraries such as NumPy, Pandas (JavaScript experience is a plus).
• Familiarity with GitHub and version control workflows.
• Experience with at least one data visualization tool (e.g., Tableau, Power BI).
• Comfort with cloud platforms (Azure preferred) is optional but advantageous.
• Strong written and verbal communication skills for working with a diverse learner base.
• Experience with learning management systems (e.g., Canvas) is a plus.

Preferred Qualifications:

• Familiarity with Slack, Teams, or similar collaboration tools.
• Experience with support/service software or ticketing systems .
• Exposure to bug tracking and feedback tools .

Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

In press:

About Emeritus:

Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.

Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries.

Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

About the Role:

The Learning Support Specialist serves as both a subject matter expert and mentor, playing a pivotal role in the learning experience. You will guide learners through their educational journey in programs focused on one or more areas including machine learning, artificial intelligence, data engineering, data science, and data analytics , supporting learners from beginners to career-advancing professionals.

Day-to-day, you will:

• Respond to learner questions with clear, actionable guidance
• Provide constructive feedback on assignments and projects
• Break down complex technical concepts into digestible explanations
• Mentor learners at varying experience levels, ensuring each feels supported and motivated
• Collaborate with internal teams to identify course improvements
• Help resolve delivery challenges and escalations

What we’re looking for : A professional who combines deep technical expertise with strong interpersonal skills and genuine passion for education. The ideal candidate seamlessly blends technical knowledge with empathy and exceptional communication abilities.

This is a full-time, remote position in a dynamic edtech environment where learner success is a top priority.

Skills and Qualifications:

• We’re looking for candidates with ANY ONE of these backgrounds:
• Professional experience: 2+ years’ in data engineering, data science, or data analytics OR
• Academic background : PhD (or pursuing PhD) in computer science with a focus on data-related specialties OR
• Teaching experience : Teaching, tutoring, or teaching assistant experience in data, mathematics, or ML/AI OR
• Support experience : Learning support in data-related technical bootcamps or higher education
• Strong background in mathematics (statistics, calculus, linear algebra).
• Strong academic or professional grounding in machine learning and artificial intelligence .
• Proficiency in Python and libraries such as NumPy, Pandas (JavaScript experience is a plus).
• Familiarity with GitHub and version control workflows.
• Experience with at least one data visualization tool (e.g., Tableau, Power BI).
• Comfort with cloud platforms (Azure preferred) is optional but advantageous.
• Strong written and verbal communication skills for working with a diverse learner base.
• Experience with learning management systems (e.g., Canvas) is a plus.

Preferred Qualifications:

• Familiarity with Slack, Teams, or similar collaboration tools.
• Experience with support/service software or ticketing systems .
• Exposure to bug tracking and feedback tools .

Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

In press:

About the Opportunity  

Are you eager to shape the future of technology? Join our international internship program and immerse yourself in the world of Artificial Intelligence, Machine Learning, and Data Science. This unique experience is designed for ambitious students and researchers ready to develop cutting-edge skills and make a real impact.

What You’ll Experience  

• Skill-Building Phase:  
• Begin your journey by mastering the fundamentals of AI, ML, and Data Science through interactive training and mentorship. 
• Project Phase:  
• Collaborate on real-world engineering projects, applying your knowledge to solve genuine challenges. Top performers may receive monthly stipends of up to INR 36,000.

International Exposure  

• Outstanding interns may be invited to contribute to global projects with teams based in the USA and Europe. 
• Compensation for these opportunities can range from $1,000 to $3,000 per month, depending on your role and performance. 

Flexible Pathways  

• Apply based on merit or opt for our Learn and Earn track. 
• Detailed program structure and enrollment options will be shared after registration. 

Who Should Apply  

• Students and researchers are currently enrolled in BTech, MTech, MSc, or PhD programs in STEM fields. 
• We invite applications from individuals of all backgrounds and nationalities within India. 

Why Join Us?  

• Gain hands-on experience with the latest technologies. 
• Work alongside international experts and peers. 
• Open doors to global career opportunities and professional growth. 

Ready to Ignite Your Future?  

Take the next step in your journey- apply now and become part of a vibrant community of future tech leaders! 

We are committed to creating an inclusive environment for all applicants. All qualified individuals will be considered for this program. 

Applications are reviewed on a rolling basis. Early applications are encouraged!  

INTERN_ DATA MINING AND OUTREACH

Job Description — Key Responsibilities

• Data Mining: Research and compile information from various sources, including web scraping, to build and maintain accurate, up-to-date client databases. 
• Data Management: Verify, clean, and structure collected data to ensure its quality and completeness for effective outreach campaigns. 
• Outreach: Initiate contact with potential leads through phone calls, email, and social media platforms like . 
• Lead Generation: Present company services or products to prospects and identify sales opportunities. 
• Communication & Follow-Up: Maintain consistent communication with prospects, schedule follow-up meetings, and record all interactions accurately in a CRM or lead tracking tool. 
• Reporting: Track progress and provide regular updates on daily activities and campaign performance to the team lead or manager. 
• Team Collaboration: Coordinate with internal teams (e.g., sales, marketing) to support their efforts in converting leads into clients. 
• Learning & Strategy: Gain knowledge about company services and contribute ideas for improving outreach strategies. 

Skills & Requirements

• Communication: Excellent verbal and written communication skills are essential for effective outreach. 
• Data Accuracy: Strong attention to detail is required for managing and updating databases. 
• Technical Proficiency: Proficiency in MS Excel and familiarity with web scraping or data mining tools are often required. 
• Organizational Skills: Strong time management and organizational abilities to handle multiple tasks and meet deadlines. 
• Proactive Attitude: A self-motivated individual with a willingness to learn and work independently. 
• Basic Knowledge: A general understanding of digital marketing, lead generation, and CRM software is beneficial. 

Key Responsibilities

• Data Mining: Research and compile information from various sources, including web scraping, to build and maintain accurate, up-to-date client databases

INTERN_ DATA MINING AND OUTREACH

Job Description — Key Responsibilities

• Data Mining: Research and compile information from various sources, including web scraping, to build and maintain accurate, up-to-date client databases. 
• Data Management: Verify, clean, and structure collected data to ensure its quality and completeness for effective outreach campaigns. 
• Outreach: Initiate contact with potential leads through phone calls, email, and social media platforms like LinkedIn. 
• Lead Generation: Present company services or products to prospects and identify sales opportunities. 
• Communication & Follow-Up: Maintain consistent communication with prospects, schedule follow-up meetings, and record all interactions accurately in a CRM or lead tracking tool. 
• Reporting: Track progress and provide regular updates on daily activities and campaign performance to the team lead or manager. 
• Team Collaboration: Coordinate with internal teams (e.g., sales, marketing) to support their efforts in converting leads into clients. 
• Learning & Strategy: Gain knowledge about company services and contribute ideas for improving outreach strategies. 

Skills & Requirements

• Communication: Excellent verbal and written communication skills are essential for effective outreach. 
• Data Accuracy: Strong attention to detail is required for managing and updating databases. 
• Technical Proficiency: Proficiency in MS Excel and familiarity with web scraping or data mining tools are often required. 
• Organizational Skills: Strong time management and organizational abilities to handle multiple tasks and meet deadlines. 
• Proactive Attitude: A self-motivated individual with a willingness to learn and work independently. 
• Basic Knowledge: A general understanding of digital marketing, lead generation, and CRM software is beneficial. 

Key Responsibilities

• Data Mining: Research and compile information from various sources, including web scraping, to build and maintain accurate, up-to-date client databases