Posted on: 09/01/2026
Description :
We are seeking a Data Scientist who is passionate about transforming raw data into intelligent business insights and building models that power real-world decision-making. This role involves working across the entire data science lifecyclefrom data exploration and modeling to GenAI integration and insight generation. You will play a key role in designing, developing, and deploying data science solutions across various domains, including healthcare, finance, and enterprise analytics.
You will collaborate closely with cross-functional teams, including frontend developers, designers, product managers, and AI/ML specialists, to deliver high-performance, AI-integrated digital solutions. This is an excellent opportunity for someone passionate about clean architecture, performance optimization, and building intelligent, user-centric applications.
The core responsibilities for the job include the following :
Machine Learning and Data Analysis :
- Assist in developing ML models for tasks like classification, regression, clustering, and recommendation.
- Perform data preprocessing, cleaning, and exploratory analysis.
- Support feature engineering and model evaluation under the guidance of senior team members.
Generative AI and NLP :
- Learn and experiment with LLMs and GenAI frameworks (e. g., OpenAI, Hugging Face, and LangChain).
- Apply basic NLP techniques (tokenization, text classification, sentiment analysis, and entity recognition).
Requirements :
- 6+ years of experience (internships, projects, or academic exposure in GenAI).
- Proficiency in Python and key libraries (Pandas, NumPy, and Scikit-learn).
- Basic understanding of statistics, probability, and ML algorithms.
- Exposure to NLP libraries (NLTK, spaCy, Hugging Face) is a plus.
- Familiarity with GenAI concepts (prompt engineering, fine-tuning) is an advantage.
- Knowledge of SQL (and basic NoSQL) databases.
- Exposure to cloud platforms (AWS, GCP, Azure) is desirable.
- Strong problem-solving mindset and eagerness to learn.
- Good communication skills and ability to collaborate in a team.
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