EXL is hiring for a fresher entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist

Company:

• EXL

Location:

• Bengaluru, Karnataka, India

Job type:

• Full time

Job mode:

• Onsite

Job requisition id:

• Not specified in the original description

Years of experience:

• Entry level (0-3 YEARS)

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Company description 

• EXL is a global company known for its consulting expertise, strong focus on data driven solutions, and an approach that blends technology with business knowledge.

• The firm collaborates with organizations from various industries, helping them enhance operations, improve decision making, and steadily move toward more intelligent processes powered by data.

• Their primary goal is to support companies in transforming how work gets done through advanced analytics, thoughtful digital interventions, and detailed industry insights.

• Rather than taking a one size fits all approach, EXL prioritizes understanding a client’s unique context, existing systems, and operational challenges. This allows them to build solutions that reflect real world constraints and organizational priorities.

• The company places emphasis on sustained engagement where they continuously learn from client interactions, adapt strategies, and refine models that help companies derive maximum value from data.

• Their team consists of professionals across data science, operations management, digital transformation, and change management. These individuals work together to guide businesses through stages of improvement that strengthen efficiency and customer relationships.

• EXL aims to empower organizations with methods that advance decision making, reduce inefficiencies, and support long term growth.

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Profile overview

• The Associate Data Scientist role is designed for individuals who are new to the field and want hands on exposure to analytical projects.

• The work involves supporting senior data science team members, learning analytical frameworks, and applying foundational techniques to solve structured problems.

• A core part of the role includes collecting raw data from various sources, organizing it in usable formats, and preparing datasets that enable meaningful analysis.

• You will be involved in tasks like initial data exploration, basic visualization, preliminary statistical checks, and identifying irregularities that require attention.

• You will also help in creating simplified models, running straightforward experiments, and assisting in the interpretation of early results.

• The position offers a practical learning environment where you gradually understand how data moves through the full analytical life cycle starting from collection and ending at insight generation.

• You will shadow senior team members who will guide you through each step ensuring you develop clarity on both technical skills and business expectations.

• The role also demands comfort with documentation since structured reporting supports team communication and project transparency.

• The position encourages collaboration and communication since you will frequently interact with colleagues to clarify tasks, share updates, and coordinate deliverables.

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Qualifications 

• Basic working knowledge of analytical tools and data handling methods is expected.

• Familiarity with programming fundamentals is beneficial specifically within languages commonly used in the analytical ecosystem.

• Understanding of core statistical concepts helps in interpreting initial results and supports deeper learning in future projects.

• Strong attention to detail is important since data quality and consistency directly influence every stage of analysis.

• The ability to follow structured procedures, maintain documentation, and apply standard practices ensures repeatability and reliability of work.

• Interpersonal skills are valued since communication plays a major role in collaborative projects.

• The willingness to learn from senior professionals and adapt to feedback helps in building a strong foundation for long term growth.

• A mindset that remains steady during time pressure is appreciated since project timelines often require disciplined execution.

• Being open to working across multiple tasks and shifting priorities helps you adjust to the evolving nature of data science projects.

• Curiosity, patience, and consistent effort are central to learning how data models work and how insights translate into real business decisions.

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Additional info 

• The role offers an opportunity to understand how large organizations approach data driven decision making.

• You will gain exposure to domains like insurance, healthcare, banking, and other industries where EXL has established partnerships.

• You will observe how client specific challenges shape analytical approaches and how insights convert into operational improvements.

• You may be introduced to visualization frameworks including tools used for interactive charts and communication of findings.

• Reporting documents are essential in this role since they help teams track progress and share information with business partners.

• Time management is important as you will often balance multiple analytical tasks under supervision.

• You may participate in internal knowledge sessions designed to strengthen understanding of data science concepts.

• Over time you will build an understanding of data pipelines, business value chains, and model deployment considerations.

• The environment supports structured learning where you gradually take on more responsibilities as your skills develop.

• Feedback loops with senior analysts and data scientists give you clarity on improvement areas and help develop better problem solving habits.

Please click here to apply.