Data Science & Artificial Intelligence Freshers – EXL

EXL is a global analytics and AI-powered organization that partners with leading enterprises to solve high-impact business problems using data, advanced analytics, machine learning, and next-generation artificial intelligence technologies.

This opportunity is designed for fresh graduates and early-career professionals who are deeply curious about data, passionate about coding, and motivated to build real-world AI systems that operate at scale.

We are currently hiring 5 highly motivated freshers who are passionate about coding, data science, and building real-world AI solutions that move beyond theory and POCs.

🏢 About EXL

EXL is trusted by Fortune 500 companies across healthcare, insurance, banking, financial services, and emerging digital enterprises. Our solutions span data engineering, advanced analytics, AI-driven automation, risk modeling, customer intelligence, and generative AI transformation.

Unlike organizations that focus on experimental prototypes, EXL emphasizes production-grade AI systems — models and platforms that are deployed, monitored, scaled, and continuously improved in real business environments.

EXL partners with global organizations to deliver analytics-led transformation. Our teams build scalable AI systems that operate in real production environments, impacting millions of users and high-value business decisions.

For freshers, this means early exposure to:

• Large-scale real-world datasets
• Enterprise AI deployment practices
• Cross-functional collaboration with business teams
• End-to-end ownership of analytics solutions

🚀 About the Role

As an Associate – Data Science & Analytics, you will be a core contributor to analytics and AI initiatives from day one. This role is not limited to reporting or dashboard creation — it is designed for candidates who want to write code, build models, test hypotheses, and deploy intelligent systems.

Your responsibilities will evolve as you grow, but early responsibilities include:

• Data extraction and analysis using SQL and Python
• Feature engineering and exploratory data analysis
• Building machine learning and NLP models
• Experimenting with LLMs and Generative AI tools
• Creating visualizations and insights for stakeholders

As an Associate – Data Science & Analytics, you will work on live projects involving data analysis, machine learning, NLP, and Generative AI. This role is ideal for candidates who enjoy building, experimenting, and continuously learning.

🧠 Our Hiring Philosophy

We do not hire based solely on degrees, grades, or buzzwords. We hire based on curiosity, problem-solving ability, and passion for technology.

We value candidates who:

• Build projects beyond classroom assignments
• Experiment with new tools even without being asked
• Break things, fix them, and learn from failure
• Maintain GitHub repositories or technical blogs

If you’ve explored LLMs, built NLP pipelines, created ML models, or experimented with GenAI tools — even informally — you already align with our mindset.

🛠️ Skills & Technical Expectations

Programming & Data

• Strong foundation in Python programming
• Experience using libraries such as Pandas, NumPy, Scikit-learn
• Ability to write optimized SQL queries
• Understanding of joins, aggregations, and window functions

Machine Learning & NLP

• Supervised and unsupervised learning basics
• Model evaluation techniques
• Text preprocessing and feature extraction
• Embeddings, classification, and similarity search

Generative AI

• Basic understanding of LLMs
• Prompt engineering fundamentals
• Hands-on experimentation with GenAI tools

Technical Skills

• Strong proficiency in Python programming
• Excellent knowledge of SQL (joins, aggregations, window functions)
• Understanding of Machine Learning fundamentals
• Basic knowledge of NLP concepts (tokenization, embeddings, classification)
• Exposure to Generative AI / Large Language Models
• Data visualization using Power BI / Tableau / Python libraries

Soft Skills

• Strong analytical and problem-solving skills
• Curiosity-driven learning mindset
• Good communication and storytelling ability
• Ability to work independently and in teams

⚙️ AI & Technology Stack

Depending on the project, you may work with:

• Python-based ML pipelines
• Cloud platforms and data warehouses
• LLMs and vector databases
• Visualization tools such as Power BI or Tableau

📈 Learning & Career Growth

We invest heavily in upskilling our freshers through structured learning paths, mentorship programs, and real project exposure.

Career progression typically follows:

• Associate → Senior Analyst
• Senior Analyst → Data Scientist
• Data Scientist → Lead / Architect

At EXL, freshers receive structured training, mentorship from senior data scientists, and exposure to enterprise-scale AI projects to accelerate career growth.

🧪 Example Projects You May Work On

• Predictive risk models for insurance portfolios
• NLP-driven document intelligence systems
• GenAI-powered customer support automation
• Advanced analytics dashboards for leadership

• Analyze business problems and translate them into data-driven solutions
• Collect, clean, and preprocess structured and unstructured datasets
• Write optimized SQL queries for analytics and reporting
• Develop Python-based analytics and ML pipelines
• Perform exploratory data analysis (EDA)
• Build, evaluate, and improve machine learning models
• Work on NLP use cases like text classification and document intelligence
• Experiment with Generative AI / LLMs
• Create dashboards and visual reports using BI tools
• Collaborate with senior data scientists and business stakeholders
• Document workflows, models, and insights clearly

🎯 Interview Process

Our interview process focuses on problem-solving, coding ability, and conceptual clarity. Expect discussions around:

• Python and SQL fundamentals
• ML and NLP concepts
• Projects you’ve worked on
• Your curiosity and learning mindset

• Technical discussion (Python, SQL, ML basics)
• Project discussion (college / personal projects)
• Problem-solving and logical thinking evaluation
• Final HR discussion

💰 Salary & Compensation

📩 How to Apply

If you are excited about AI, data, and solving real-world problems, apply using the link below.