Data Scientist – Analytics & GenAI at KGP Talkie (Work From Home)
KGP Talkie is hiring for a Data Scientist – Analytics & GenAI role that is fully remote and full-time. This paid opportunity is aimed at candidates with 0-2 years of experience in AI/ML, including freshers and experienced professionals who want to work where data analytics and Generative AI meet. The role has 5 openings, and applications are open on Unstop until 29 July 2026. If you are looking for a work-from-home position with monthly compensation and practical AI work, this listing brings together analytics, experimentation, and GenAI prototyping in one place.
Overview of the Role
The Data Scientist – Analytics & GenAI position at KGP Talkie is designed for people who want to work on real data and real AI use cases. It is a full-time role with a 5 days a week schedule and is offered as a work from home opportunity. The company describes it as a paid position with monthly compensation, with the specific salary shared by the company or visible on the Unstop listing. Because the role sits at the intersection of analytics and Generative AI, it is especially relevant for candidates who want exposure to both measurement and model-driven product work.
The opportunity is open to candidates with 0-2 years of experience in AI/ML, which makes it suitable for both freshers and early-career professionals. There are 5 openings available, so the role is not limited to a single hire. Applications must be submitted through Unstop, and the last date to apply is 29 July 2026. The company also suggests that applicants spend time exploring KGP Talkie's website, YouTube tutorials, and LinkedIn content to better understand its niche, audience, and teaching approach before applying.
Standout fact: KGP Talkie is a code-first AI education brand trusted by 200,000+ learners worldwide.
Key details at a glance
- Role: Data Scientist – Analytics & GenAI
- Company: KGP Talkie
- Location: Work From Home (Remote)
- Job type: Full-time (5 days a week)
- Experience required: 0-2 years in AI/ML
- Compensation: Paid, monthly
- Number of openings: 5
- Last date to apply: 29 July 2026
- Apply via: Unstop
About KGP Talkie
KGP Talkie is described as a code-first AI education brand that is trusted by 200,000+ learners worldwide. Its teaching focus includes Python, Machine Learning, Deep Learning, NLP, and Generative AI. The brand emphasizes practical learning through production-focused tutorials, real projects, and full walkthroughs on topics such as RAG systems, AI agents, LangChain, and LangGraph.
The learning ecosystem mentioned in the listing includes free tutorials on YouTube, professional courses on Udemy rated 4.8, and structured learning paths. This gives context to the kind of work the hired Data Scientist may contribute to, since the role is tied to analytics around learner behavior and experimentation around educational content. The company was founded by Laxmi Kant Tiwari, an IIT Kharagpur alumnus who left a six-figure job to teach AI full time.
That background helps explain why the role combines analytics with GenAI. The company is not only teaching AI concepts, but also building and refining how those concepts are delivered to learners. A Data Scientist in this environment would likely work with content performance, learner questions, and prototype AI tools that support the learning experience. The brand's focus on practical, production-style teaching makes the role relevant for someone who wants to apply data science in an educational AI setting.
What the company is known for
- Code-first AI education
- 200,000+ learners worldwide
- Teaching Python, Machine Learning, Deep Learning, NLP, and Generative AI
- Practical tutorials on RAG systems, AI agents, LangChain, and LangGraph
- Free tutorials on YouTube and professional courses on Udemy
Responsibilities and Day-to-Day Work
The responsibilities for this role show a mix of analytics, experimentation, and AI prototyping. One major part of the job is to pull and clean data from YouTube analytics, Udemy, the website, and learner questions so that the information becomes workable datasets. This means the role is not limited to model building; it also includes preparing data so that it can be analyzed clearly and used for decision-making.
Another core responsibility is to run exploratory analysis and build simple dashboards that track engagement, completion, and drop-offs. These metrics suggest that the role is closely connected to understanding how learners interact with content and where they stop engaging. The Data Scientist will also perform NLP on learner comments and questions to identify content gaps and points of confusion, which makes the role especially relevant for someone interested in language data and learner feedback.
The listing also includes experimentation work. The selected candidate will run small experiments on titles, thumbnails, and tutorial structure, then measure the real learning impact. In addition, the role includes prototyping with the AI the company teaches, including building things like a RAG-based tutor bot over the tutorial library using LangChain and real LLMs. This makes the position a blend of analytics, product testing, and hands-on GenAI application.
Responsibility areas
- Pulling and cleaning data from multiple learning and content sources
- Running exploratory analysis and building simple dashboards
- Using NLP on learner comments and questions
- Testing titles, thumbnails, and tutorial structure through small experiments
- Prototyping a RAG-based tutor bot with LangChain and real LLMs
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Skills and Requirements
The requirements for this role are centered on practical data science skills rather than only theory. The company asks for strong Python skills, specifically Pandas and NumPy, along with classical ML using Scikit-Learn. The expectation is that the candidate can frame a problem, train a baseline, and evaluate it properly. That combination suggests the role values clear problem-solving and disciplined model evaluation.
PyTorch is preferred, and the listing asks for hands-on experience that includes at least one model you have built and trained yourself. The role also requires SQL for pulling and joining data independently. In addition, the candidate should have solid statistics knowledge, including distributions, hypothesis testing, and A/B test design. These skills are important because the role includes experimentation and measurement, not just analysis.
For communication and presentation of insights, the company wants EDA that tells a story using Matplotlib, Seaborn, or Plotly. Comfort with Jupyter/Colab and Git is also part of the core requirement set. Together, these skills point to a candidate who can move from data extraction to analysis, visualization, and model work in a structured way.
Core skills expected
- Python with Pandas and NumPy
- Classical ML with Scikit-Learn
- PyTorch experience, preferably with one self-built and self-trained model
- SQL for independent data pulling and joining
- Statistics including distributions, hypothesis testing, and A/B test design
- EDA using Matplotlib, Seaborn, or Plotly
- Comfort with Jupyter/Colab and Git
Genuine plus points
- Exposure to LLMs, RAG, embeddings, or vector stores
- Hands-on experience with LangChain or LangGraph
- A public GitHub, Kaggle, or Colab project you can explain to the team
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How to Apply and What to Review First
Applications for this role are submitted online through Unstop. The process described in the listing is straightforward: open the opportunity page, complete your Unstop profile, and submit the application before 29 July 2026. Since the role is listed as paid and remote, the application is the main formal step needed to be considered for the openings.
The company also gives a useful tip for applicants: take time to explore KGP Talkie's website, YouTube tutorials, and LinkedIn content before applying. This is meant to help candidates understand the company's niche, audience, and teaching approach. Because the role includes analytics on learner behavior and prototyping around the tutorial library, familiarity with the brand's content style can be helpful when preparing an application.
For candidates who want to present themselves well, the best fit appears to be someone who can connect data science with educational content. The responsibilities mention learner questions, engagement, completion, drop-offs, and content experiments, so applicants should be ready to think in terms of both analysis and learning outcomes. The role also rewards people who can show practical work, especially through a public project that can be walked through with the team.
Application checklist from the listing
- Apply online through Unstop
- Open the opportunity page
- Complete your Unstop profile
- Submit before 29 July 2026
- Review KGP Talkie's website, YouTube tutorials, and LinkedIn content first
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Perks and Work Environment
The listing mentions two perks: Flexible Hours and Counselling Support. These benefits add to the appeal of the role, especially for candidates looking for a remote position with some flexibility in how work is managed. Since the job is work from home, the combination of remote setup and flexible hours may be especially relevant for people who prefer a more adaptable work arrangement.
The role's environment also appears to be strongly tied to learning and teaching. Because KGP Talkie is an AI education brand, the work is likely connected to content performance, learner feedback, and AI-assisted learning tools. That means the Data Scientist is not only analyzing data but also contributing to how AI education is delivered and improved. The mention of a RAG-based tutor bot and tutorial library prototype shows that the role can include direct involvement with the company's AI learning ecosystem.
For candidates who want a role with practical exposure to both analytics and GenAI, the perks sit alongside a work setting that is already focused on production-focused tutorials and structured learning paths. The company’s emphasis on real projects and full walkthroughs suggests that the work may be grounded in applied outcomes rather than abstract tasks. This makes the position especially relevant for early-career professionals who want to build experience in a visible and practical way.
Frequently Asked Questions
What is the role offered by KGP Talkie?
The role is Data Scientist – Analytics & GenAI at KGP Talkie. It is a full-time, work from home position with monthly compensation. The listing is aimed at candidates interested in both data analytics and Generative AI.
Who can apply for this job?
The role is open to candidates with 0-2 years of experience in AI/ML. The listing says it is open to both freshers and experienced professionals. Applicants should have the core skills listed in the opportunity.
How many openings are available?
There are 5 openings for this position. The listing does not mention any other number of roles. This means multiple candidates can be selected for the same opportunity.
What are the main responsibilities?
The responsibilities include pulling and cleaning data from YouTube analytics, Udemy, the website, and learner questions. The role also involves exploratory analysis, dashboards, NLP on learner comments, small experiments on content, and prototyping a RAG-based tutor bot using LangChain and real LLMs.
What skills are required?
The core requirements include strong Python, Pandas, NumPy, Scikit-Learn, PyTorch, SQL, and statistics. The company also wants EDA skills with Matplotlib, Seaborn, or Plotly, plus comfort with Jupyter/Colab and Git. Exposure to LLMs, RAG, embeddings, vector stores, LangChain, or LangGraph is a genuine plus.
How do I apply?
Applications must be submitted through Unstop. The listing says to open the opportunity page, complete the Unstop profile, and apply before 29 July 2026. The company also recommends reviewing its website, YouTube tutorials, and LinkedIn content before applying.
Conclusion
The Data Scientist – Analytics & GenAI role at KGP Talkie combines data analysis, experimentation, and Generative AI in a remote full-time setup. It is a paid opportunity with 5 openings, open to candidates with 0-2 years of AI/ML experience, and available through Unstop until 29 July 2026. The work is closely tied to learner data, content performance, and AI-powered tutoring ideas, which makes it a strong fit for candidates who want practical exposure in an AI education environment. If your background includes Python, SQL, statistics, ML, and interest in LLMs or RAG, this listing is worth reviewing carefully.
