# Gen AI Data Scientist Source: https://realanalystjobs.com/job/gen-ai-data-scientist-fractal-analytics-86589392 Gen AI Data Scientist at Fractal Analytics, an on-site role based in Bengaluru, India. Experience level: 5 Years. Posted on 11 September 2026, read from Fractal Analytics' own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Fractal Analytics](https://realanalystjobs.com/companies/fractal-analytics) - Location: Bengaluru, India - Work mode: On-site - Posted: Sep 11, 2026 - Employment type: Full time - Experience level: 5 Years - Source: Fractal Analytics' careers page (Workday), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Azure, [R](https://realanalystjobs.com/skills/r) ## Visa sponsorship The posting does not say. Fractal Analytics had H-1B petitions approved for 69 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/fractal-analytics#h1b-record) ## About this role It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Title: Data Scientist with GenAI Experience Job Summary: We are seeking an experienced Data Scientist with a focus on Gen AI and a minimum of 5 years of industry experience. The ideal candidate will have a strong background in machine learning, statistical analysis, and data modeling, with a specific emphasis on extracting insights from textual data. This role involves working on complex NLP projects to derive meaningful patterns and knowledge from large datasets. Key Responsibilities: 1. **NLP Model Development:** - Develop and implement NLP models for various applications, including text classification, sentiment analysis, entity recognition, and language translation. - Utilize machine learning and deep learning techniques to extract valuable information from unstructured text. 2. **Text Preprocessing:** - Preprocess and clean large volumes of text data to prepare it for analysis. - Implement techniques such as tokenization, stemming, and lemmatization. 3. **Feature Engineering:** - Identify and engineer relevant features from text data to improve model performance. - Implement techniques to capture semantic relationships within the data. 4. **Model Training and Evaluation:** - Train, fine-tune, and validate NLP models using appropriate algorithms. - Evaluate model performance using metrics such as precision, recall, F1 score, and accuracy. 5. **Data Analysis:** - Conduct exploratory data analysis on textual datasets to uncover patterns, trends, and anomalies. - Use statistical methods to gain insights into the underlying structure of the data. 6. **Collaboration with Cross-Functional Teams:** - Work closely with data engineers, software developers, and domain experts to integrate NLP solutions into broader systems and applications. - Collaborate in defining project goals, requirements, and deliverables. 7. **Algorithm Optimization:** - Optimize and fine-tune NLP algorithms for improved efficiency and accuracy. - Implement parallel processing and distributed computing techniques for large-scale data analysis. 8. **Stay Updated with NLP Trends:** - Stay informed about the latest advancements and trends in NLP and machine learning. - Apply cutting-edge techniques to solve complex business problems. 9. **Documentation:** - Document methodologies, algorithms, and code for reproducibility and knowledge transfer. - Prepare clear and concise project reports and documentation. Qualifications: - Master's in Computer Science, Data Science, Statistics, or a related field. - Minimum of 3 years of professional experience in data science, with a focus on GenAi. - Strong programming skills in languages such as Python or R. - Expertise in using NLP libraries and frameworks such as NLTK, SpaCy, or TensorFlow. - Proficiency in machine learning techniques, including supervised and unsupervised learning. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Strong understanding of text mining, information retrieval, and semantic analysis. - Excellent problem-solving and analytical skills. - Effective communication and collaboration skills. - Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus. If you are a skilled Data Scientist with a specialization in NLP, passionate about deriving insights from textual data, and have a proven track record, we encourage you to apply. Your expertise will contribute to the advancement of our data science capabilities and the development of innovative NLP solutions. Payal Singh added Niranjana Balaguru to the chat. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Description from Fractal Analytics' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/gen-ai-data-scientist-fractal-analytics-86589392) and use Apply now there to reach the employer's application. The listing is re-checked against Fractal Analytics' careers page daily and removed when it closes. ## Fractal Analytics 6 open analyst roles on Real Analyst Jobs. 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