Data Science Internship at PlaySimple Games in Bangalore
PlaySimple Games is hiring a Data Science Intern for a full-time, in-office internship in Bangalore. The role is part of a fast-growing mobile gaming company that is part of Modern Times Group (MTG), and it focuses on building machine learning and data science solutions for player engagement, monetization, experimentation, and game analytics. The internship also includes prototyping AI tools with LLMs and Agentic AI. It is a 6-month opportunity with a monthly stipend of Rs. 40,000, and there are 2 openings. Applications are open on Internshala until 3 September 2026.
Important: This internship is for candidates pursuing a Master’s degree. Undergraduate courses are not being considered for now.
Role Overview and Internship Details
The Data Science Intern position at PlaySimple Games is designed for candidates who want hands-on exposure to data science in the mobile gaming space. The internship is full-time, in-office, and follows a 5 days a week work format in Bangalore. The company is looking for interns who can start immediately, specifically between 4 August 2026 and 8 September 2026. Since the role is focused on practical work, the intern will contribute to real product and analytics problems rather than only observing or assisting at a surface level.
The internship duration is 6 months, and the stipend is fixed at Rs. 40,000 per month. With only 2 openings, the role is limited and likely intended for candidates who already have strong preparation in Python, machine learning, statistics, and related areas. The application process is through Internshala, and the last date to apply is 3 September 2026. The role is especially relevant for students who want to work on data-driven gaming problems and explore AI-based tools in a product environment.
Key details at a glance
- Role: Data Science Intern
- Company: PlaySimple Games
- Location: Bangalore
- Work mode: Full-time, in-office, 5 days a week
- Duration: 6 months
- Stipend: Rs. 40,000 per month
- Openings: 2
- Start date: Immediately, between 4 August 2026 and 8 September 2026
- Apply by: 3 September 2026
- Apply via: Internshala
What the Intern Will Work On
The internship centers on building and supporting machine learning and data science solutions for a gaming product environment. A major part of the work involves improving player engagement and monetization, while also supporting experimentation and game analytics. The intern will not only analyze data but also help turn findings into practical product improvements. This makes the role suitable for candidates who enjoy connecting analysis with business and product outcomes.
Another important part of the role is working with newer AI approaches. The intern will prototype AI-powered tools using large language models, Agentic AI frameworks, and workflow automation. In addition, the role includes using Apache Spark to process and analyze large-scale datasets. The intern will also build dashboards and visualizations so that insights can be communicated clearly to product and game teams. Collaboration is a key part of the job, since the intern will work with PMs, engineers, and data scientists to translate business problems into data-driven solutions.
Day-to-day responsibilities
- Support development of ML and data science solutions for player engagement, monetization, experimentation, and game analytics.
- Perform exploratory data analysis to identify trends, player behaviours, and product-improvement opportunities.
- Build data pipelines and prepare datasets for ML models and experimentation.
- Assist in designing and evaluating A/B tests using statistical methods.
- Develop and benchmark predictive models under senior data scientists’ guidance.
- Prototype AI-powered tools using LLMs, Agentic AI frameworks, and workflow automation.
- Use Apache Spark to process and analyze large-scale datasets.
- Build dashboards and visualizations to communicate insights to product/game teams.
- Collaborate with PMs, engineers, and data scientists on data-driven solutions.
- Document experiments, models, and findings while staying current with ML/AI/data science developments.
The responsibilities show that the internship is both analytical and applied. The intern is expected to work on data preparation, experimentation, modeling, and communication of insights. Since the role also includes documentation and staying updated with developments in the field, it is suited to someone who is curious, organized, and comfortable learning continuously. The combination of gaming analytics and AI prototyping makes the internship especially relevant for candidates interested in modern data science workflows.
Skills Required and Eligibility
The listed skills for this internship include Apache Spark, Artificial Intelligence, Data Science, Deep Learning, Machine Learning, and Python. Among these, strong Python programming is especially important, while familiarity with Apache Spark is preferred. The role also values coursework or projects in ML, statistics, probability, optimization, or data science. These requirements suggest that the internship is aimed at candidates who already have a solid technical base and want to apply it in a product-focused setting.
Eligibility is restricted to candidates pursuing a Master’s degree in computer science, AI, data science, statistics, mathematics, engineering, or a related field. The content clearly states that undergraduate courses are not being considered for now. A strong advantage is exposure to LLMs, Generative AI, Agentic AI, or AI workflows, along with familiarity with big-data or distributed processing. Hands-on projects are also valued, including work shown through GitHub, Kaggle, research, hackathons, or competitive programming.
Eligibility highlights
- Must be pursuing a Master’s degree in a relevant field.
- Undergraduate courses are not considered for now.
- Strong Python skills are required.
- Apache Spark familiarity is preferred.
- Coursework or projects in ML, statistics, probability, optimization, or data science are important.
- Exposure to LLMs, Generative AI, or Agentic AI is a strong advantage.
- Hands-on projects and practical experience are a plus.
- Strong analytical, problem-solving, and communication skills are expected.
- An avid gamer with genuine interest in player behaviour and mobile gaming is preferred.
The profile being sought is clearly technical, but it is also product-aware. The mention of an avid gamer shows that the company values genuine interest in player behaviour and mobile gaming, not just coding ability. This is important because the internship involves understanding how players behave and how that behavior can inform product improvements. Candidates who can combine technical depth with curiosity about games may find the role especially aligned with their interests.
About PlaySimple Games
PlaySimple Games was founded in 2014 and is described as one of India’s fastest-growing gaming companies. It is part of Modern Times Group (MTG), a global gaming company headquartered in Sweden. The company is known for word games such as Daily Themed Crossword, WordTrek, WordTrip, and GuessUp. These games have a multi-million player base, which gives context to the scale and relevance of the data science work involved.
Because PlaySimple operates in mobile gaming, the internship is likely to involve player-focused analytics and product experimentation. The responsibilities listed for the role reflect this environment, especially the focus on engagement, monetization, and game analytics. The company’s growth and its connection to MTG indicate that the intern will be working in a setting where data-driven decisions matter. For a Master’s student interested in applied machine learning, this can be a strong opportunity to work on real-world gaming data and AI-related product ideas.
Company snapshot
- Founded: 2014
- Company type: One of India’s fastest-growing gaming companies
- Parent group: Modern Times Group (MTG)
- Headquarters of MTG: Sweden
- Known for: Daily Themed Crossword, WordTrek, WordTrip, and GuessUp
- Player base: Multi-million
The company background helps explain why the internship includes both analytics and AI prototyping. A gaming company with a large player base needs insights into behavior, engagement, and monetization, and it also benefits from experimentation and predictive modeling. The role therefore sits at the intersection of product analytics and machine learning. That combination makes the internship relevant for candidates who want to see how data science supports live products.
How to Apply and What to Expect
Applications for the internship are open on Internshala, and candidates must apply before 3 September 2026. The role can start immediately, with the stated start window running from 4 August 2026 to 8 September 2026. Since the internship is full-time and in-office, applicants should be prepared for a regular on-site schedule in Bangalore. The posting also makes clear that the internship is intended for Master’s students only, so eligibility should be checked carefully before applying.
The application process itself is straightforward according to the provided content: apply online through Internshala. There are 2 openings, so the opportunity is limited. Candidates who already have projects in machine learning, AI, or data science may be able to present stronger applications, especially if they have experience with Python, Spark, or AI workflows. Since the role includes collaboration with PMs, engineers, and data scientists, communication and teamwork are likely to matter alongside technical ability.
Application summary
| Item | Details |
|---|---|
| Application platform | Internshala |
| Last date to apply | 3 September 2026 |
| Start timing | Immediately, between 4 August 2026 and 8 September 2026 |
| Openings | 2 |
| Work arrangement | Full-time, in-office, 5 days a week |
| Stipend | Rs. 40,000 per month |
The internship also offers a few perks, including a certificate, informal dress code, 5 days a week schedule, and free snacks & beverages. These benefits add to the overall experience, but the main attraction remains the technical exposure and the chance to work on gaming-focused data science problems. For candidates who want a structured, in-office internship with practical learning, the role offers a clear and focused opportunity. The combination of stipend, company background, and AI-oriented responsibilities makes it a notable opening for Master’s students.
Frequently Asked Questions
What is the role offered by PlaySimple Games?
The company is hiring a Data Science Intern for a full-time, in-office internship in Bangalore. The role focuses on machine learning and data science solutions for player engagement, monetization, experimentation, and game analytics. It also includes prototyping AI tools with LLMs and Agentic AI.
Who is eligible to apply for this internship?
This internship is for candidates pursuing a Master’s degree in computer science, AI, data science, statistics, mathematics, engineering, or a related field. The content clearly states that undergraduate courses are not being considered for now. Strong Python skills and relevant coursework or projects are important.
What is the stipend and duration of the internship?
The internship lasts for 6 months and offers a monthly stipend of Rs. 40,000. It is a full-time opportunity based in Bangalore. The role is intended for candidates who can start immediately within the stated start window.
What skills are required for the role?
The listed skills include Apache Spark, Artificial Intelligence, Data Science, Deep Learning, Machine Learning, and Python. Strong Python programming is especially important, while familiarity with Spark is preferred. Exposure to LLMs, Generative AI, and Agentic AI is a strong advantage.
How can candidates apply for the internship?
Candidates must apply online through Internshala. The application deadline is 3 September 2026. The provided content also states that the role has 2 openings and can start immediately.
What perks are offered with the internship?
The perks listed are a certificate, informal dress code, 5 days a week schedule, and free snacks & beverages. These are additional benefits alongside the main technical learning opportunity. The internship is still primarily centered on data science, ML, and AI work in gaming.
Conclusion
The Data Science Internship at PlaySimple Games offers a focused opportunity for Master’s students who want to work on real-world machine learning, analytics, and AI problems in the mobile gaming space. With a monthly stipend of Rs. 40,000, a 6-month duration, and a full-time in-office setup in Bangalore, the role is clearly structured for serious hands-on learning. The work spans player engagement, monetization, experimentation, game analytics, and AI prototyping with LLMs and Agentic AI. For candidates who meet the eligibility requirements and are interested in gaming data, this is a strong internship to consider before 3 September 2026.
