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Trainee / Intern – Data Scientist

Parent Group of Company: Alan Scott Enterprises Limited — BSE Listed Company

- Alan Scott Qubiverse Pvt Ltd.

Domain: Quantum Research | Quantum-Inspired AI | Generative AI | DeepTech

Position: Trainee / Intern – Data Scientist

Work Location:- Pune.

Eligibility: Male & Female Candidates

Chance Type: Internship / Trainee Program with potential for long-term engagement

About Alan Scott Qubiverse :-

Alan Scott Qubiverse Private Limited is a deep-tech initiative within the Alan Scott ecosystem under Alan Scott Enterprises Ltd , focused on research and development at the intersection of Quantum Science, Artificial Intelligence, Quantum-Inspired Computing, Generative AI and next-generation computational technologies.

The company is developing and exploring technologies intended to translate advanced scientific and mathematical concepts into practical DeepTech applications. Its research environment includes engagement and exploration with DeepTech ecosystems and companies across Europe, the United States, Australia and Southeast Asia.

The Opportunity

We are inviting young scientists and engineers who want to move beyond conventional data-science roles and work in an exploratory research-driven technology workplace.

The selected candidate will join as a Trainee / Intern Data Scientist and work alongside the Qubiverse technology and research team. The role is designed for candidates who are highly curious, willing to learn independently, comfortable experimenting with unfamiliar technologies, and interested in understanding how Physics Mathematics Data Science AI can converge to create new computational approaches.

Prior professional experience in quantum computing is not mandatory. A strong scientific mindset and ability to learn are more important.





Key Responsibilities

- Participate in research and experimentation involving Data Science, AI, Generative AI and quantum-inspired computational approaches.
- Work with datasets to perform cleaning, transformation, statistical analysis, modelling and visualization.
- Develop and test Python-based computational and machine-learning models.
- Explore AI/ML algorithms and emerging approaches relevant to DeepTech applications.
- Assist researchers in converting mathematical or physics-based concepts into computational experiments and prototypes.
- Work with modern AI tools, LLMs and Generative AI environments for research, coding and experimentation.
- Study research papers, emerging technologies and technical frameworks and convert relevant ideas into experiments.
- Benchmark experimental approaches against conventional algorithms and document results objectively.
- Maintain research notes, datasets, experiment logs, technical documentation and reproducible code.
- Participate in technology discussions and collaborative research involving international DeepTech environments.
- Be prepared to continuously learn, discover, experiment and explore technologies at a larger scale.

Qualification :-

Preferred: Graduated, Postgraduate degree in B.Tech/B.E. /Physics from any core/specialized branch, together with practical exposure to AI tools, programming, computational methods or Data Science.





Candidates with equivalent postgraduate qualifications in closely related scientific or computational disciplines may also be considered.

Engineering candidates may also apply: B.Tech/B.E. in Electrical Engineering or Mechanical Engineering, particularly candidates having relevant knowledge and demonstrated exposure to AI, computational programming, Data Science or related technologies.

Preferred Technical Exposure

Working knowledge or demonstrable interest in Python, NumPy, Pandas, data visualization, statistics, machine learning, AI/LLM tools and scientific computing will be useful. Exposure to PyTorch/TensorFlow, optimization techniques, simulation, quantum-computing frameworks or research-oriented programming will be an added advantage but is not compulsory.

Who We Are Looking For:-

*We are particularly interested in candidates who are curious rather than syllabus-driven. You should be willing to ask questions, challenge assumptions, read scientific literature, run experiments, learn unfamiliar tools and accept that research sometimes produces unexpected or negative results.

- The candidate should have strong analytical thinking, scientific integrity, problem-solving ability and an eagerness to explore the evolving intersection of Quantum Science, DeepTech, AI and Generative AI.

Career Opportunity

This is intended to be more than a conventional internship. High-performing trainees may be considered for longer-term research, Data Science and DeepTech roles within the Alan Scott ecosystem, subject to performance, organizational requirements and availability.

Exploring the convergence of Quantum Science, AI & DeepTech

Pay: ₹12,000.00 - ₹20,000.00 per month

Benefits

- Versatile schedule

Work Location: In person

📌 Data Scientist Intern (Hinjawadi)
🏢 Alan Scott LearniX
📍 Hinjawadi