Data Scientist

EXL

. Lead data analysis projects and provide strategic insights .

Posted 10/15/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing Generative AI models and advanced data science applications using Python. Proficient in integrating AI functionalities into systems while ensuring high-quality analytical work and effective collaboration with cross-functional teams.

Highest-signal resume keywords

Generative AI Model DevelopmentAdvanced Python ProgrammingData Science and Machine LearningNatural Language ProcessingCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingMachine Learning ModelsData AnalysisNatural Language ProcessingPredictive AnalyticsRAG PipelinesSQLDeep Learning AlgorithmsObject-Oriented DesignData Structures

Soft Skills

Excellent CommunicationProblem-SolvingCollaborationMentoring

Tools & Technologies

AWSAzureDatabricksNumPyPandasScikit-learnJupyterNLTKGitHubJira

Industry Keywords

Data ScienceMachine LearningGenerative AINatural Language ProcessingAnalytical Work

Tech Stack

Tools & technologies

AWSAzureCloudNumpyPandasPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Lead data analysis projects and provide strategic insights
Design complex data science and machine learning models
Ensure the quality of analytical work
Work closely with business leaders to understand needs and deliver actionable insights
Develop and maintain advanced Python-based applications in the Generative AI domain
Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, and FLAN T5
Develop advanced RAG pipelines with embeddings, indexing, chunking, reranking, prompts, and evaluation
Integrate AI functionalities into broader systems and applications with cross-functional teams
Utilize AWS, Azure, and Databricks GPU machines and manage GPU memory for performance and efficiency
Stay updated on Generative AI, Python development practices, and cloud services
Assist delivery leads in delivering Generative AI solutions to clients
Mentor junior data scientists and support timely project delivery and client satisfaction

Requirements

What you’ll need

Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience
5+ years of experience in data science, building hands-on ML models
Awareness of the evolution of NLP from traditional language models to modern large language models
Experience with training data creation, training setup, and fine-tuning
Knowledge of advanced RAG pipelines, including embeddings, indexing, chunking, reranking, prompts, and evaluation
Excellent Python programming skills
Strong working knowledge of NumPy, Pandas, Scikit-learn, Jupyter, and related numerical, data analysis, or AI frameworks
SQL skills; SQL Server and Spark experience preferred but not necessary
Knowledge of predictive/prescriptive analytics, supervised and unsupervised machine learning, deep learning algorithms, and artificial neural networks
Experience with Natural Language Processing using NLTK and text analytics for information extraction, parsing, and topic modeling
Excellent verbal and written communication
Strong troubleshooting and problem-solving skills
Experience with cloud platforms such as Azure, AWS, and Databricks preferred
5+ years of experience as an NLP and Python developer
Fundamentals of object-oriented design, data structures, and systems
Ability to integrate multiple data sources into a single system
Familiarity with testing tools
Ability to collaborate on projects and work independently when required
Working knowledge of GitHub and Jira
Ability to document requirements and specifications

Benefits

Comp & perks

Hybrid work arrangement