Data Scientist
At a glance
Mid-level Data Science role at Fa Ewjt Saasfaprod1. Gurugram · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and deploy machine-learning models for business problems, including regression, classification, clustering and natural language processing
- Examine structured and unstructured data to answer client questions and uncover process inefficiencies
- Work with client and internal stakeholders to identify opportunities, diagnose issues and coordinate resolution with delivery teams
- Lead client working sessions and recurring project updates, turning technical results into client-ready deliverables
What you bring
- At least three years in advanced analytics or predictive modeling, plus direct experience managing clients
- A degree in economics, mathematics, computer science, engineering or another related analytics area
- Strong Python and modeling skills, including data analysis packages, SQL querying, and machine-learning model deployment
- You can investigate problems independently, communicate analytical findings clearly and prepare polished client materials
Who this fits
This individual-contributor role suits someone who can work directly with clients, lead discussions and collaborate across client and delivery teams. You’ll work with clients across the globe and should be comfortable navigating cross-cultural differences. The role is based in Gurugram with a hybrid arrangement.
From the employer
We are seeking an internal candidate for an advanced Core Data Science role with a strong focus on Machine Learning, Deep Learning, and Statistical Modeling. This role will be instrumental in developing intelligent, scalable, and data-driven solutions that enhance critical business functions such as claims processing, underwriting, customer servicing, risk assessment, and decision automation.
The ideal candidate should possess strong foundations in machine learning algorithms, statistical analysis, predictive modeling, deep learning techniques, and data engineering. Hands-on experience in building end-to-end AI/ML pipelines, feature engineering, model optimization, experimentation, and deploying scalable production-grade machine learning solutions will be highly valued.
We are looking for someone who is passionate about solving complex business problems using advanced analytical and AI techniques, thrives in innovation-driven environments, and can apply core data science principles to deliver impactful and scalable business solutions.
- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new opportunities, areas of growth
- Develop long-lasting, trusted advisor relationships with clients
- Analyze structured and unstructured data from a number of drivers in the interest of solving specific questions/problems with processes in the various functional areas
- Ensure Industry best practices are followed, Communicate and follow up with delivery team
- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it
- Facilitate client working sessions and lead recurring project status meetings
- A typical work day will involve working with stakeholders as individual contributor.
- Bachelor’s/Master's degree in Economics, Mathematics, Computer Science/engineering or related Analytics areas
- 3+ years of experience in Advanced Analytics/Predictive Modeling.
- Must have experience in managing clients directly
- Experience in HR Analytics is a plus
- Good analytical and problem-solving skills
- Should be able to work on a problem independently and prepare client ready deliverables.
- Complete understanding and demonstrated experience of Python and various modeling techniques
- Experience in advanced analytics / Machine learning / statistical / data mining / Text mining techniques
- Experience in developing and deploying Machine Learning models (Regression, Classification, tree based algorithms, clustering and Natural Language Processing).
- Extensive experience with Python packages for data analysis (pandas, numpy, scikit-learn, statsmodels, matplotlib, seaborn)
- Effective at building SQL queries
- Use of visualization in Python using matplotlib or PowerPoint/Excel
- Experience in Time series, Network or Graph analysis, Large Language models/Transformers/chatbots is good to have
- Experience with cloud computing and cloud based tools like Databricks is good to have
- Follow industry best practices for Python coding and model development and deployment
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Strong ability to distill technical findings and share insights
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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