Position:
• Data Scientist I
• Entry level role focused on applied data science and artificial intelligence
• Designed for early career professionals seeking structured exposure to real world data science work
• Opportunity to work within an established data science team
• Role emphasizes learning by doing, collaboration, and guided ownership
• Focus on analytics, modeling, experimentation, and applied AI use cases
• Supports business and product teams through data driven insights
Company:
• LexisNexis Legal and Professional
• Global organization operating at the intersection of data, analytics, and technology
• Known for providing trusted information and analytical tools
• Serves legal, regulatory, corporate, and government clients
• Operates across multiple regions with strong presence in India and the United States
• Invests heavily in data science, artificial intelligence, and machine learning
• Emphasis on ethical use of data and technology
Location:
• Gurgaon
• India
• Office based role with access to cross functional teams
• Located in a major technology and business hub
• Exposure to global stakeholders and international projects
Job type:
• Full time
• Permanent employment opportunity
• Structured onboarding and learning environment
• Designed for long term career growth
Job mode:
• Onsite
• Work conducted from the Gurgaon office
• Direct collaboration with team members and leadership
• Access to internal tools, datasets, and mentoring
Job requisition id:
• R106119
• Used for internal tracking and application reference
• Applicable across hiring and recruitment processes
Years of experience:
• Fresher friendly role
• Suitable for candidates with zero to three years of experience (0-3)
• Ideal for recent graduates or final year students
• Focus on learning potential rather than past job tenure
Company description:
• LexisNexis Legal and Professional operates as a trusted provider of legal, regulatory, and business intelligence
• The organization supports professionals who rely on accurate information to make high impact decisions
• Its solutions are used by lawyers, compliance teams, corporations, and public sector bodies
• The company combines deep domain knowledge with advanced analytics and data science
• Technology teams work on transforming raw data into meaningful insights
• The organization supports initiatives that strengthen transparency and accountability
• LexisNexis contributes to efforts against corruption, financial crime, and human trafficking
• Teams work on large scale datasets that demand high standards of accuracy and reliability
• The company places strong emphasis on responsible innovation
• Employees are encouraged to work on problems that have societal and global relevance
• A culture of collaboration, continuous learning, and integrity is promoted
• Investment in AI and data science enables teams to push boundaries in information analytics
• Global presence allows exposure to diverse perspectives and complex problem spaces
Profile overview:
• The Data Scientist I role supports core data science initiatives across the organization
• The position is structured to help new professionals grow technical and analytical abilities
• The role involves working closely with experienced data scientists and engineers
• Daily work includes preparing data, exploring patterns, and contributing to models
• Candidates gain exposure to real business and product challenges
• The role emphasizes applying theory to practical use cases
• Collaboration with cross functional teams is a key part of the role
• The position encourages curiosity and experimentation
• Individuals will learn internal standards, workflows, and best practices
• The role provides hands on experience with modern AI systems
• Exposure to large language models and modern machine learning methods is included
• The position allows gradual ownership of tasks and projects
• Feedback and mentorship are integral to professional growth
• The role supports development of communication and storytelling skills using data
• Success in this role builds a strong foundation for future data science positions
Responsibilities:
• Support data science initiatives through data preparation and analysis
• Collect data from internal and approved external sources
• Clean, structure, and validate datasets for modeling use
• Assist in developing machine learning and AI models
• Apply statistical methods to understand patterns and relationships
• Work with large datasets to extract actionable insights
• Collaborate with engineers on deploying analytical solutions
• Participate in design discussions for AI based systems
• Contribute to testing and evaluation of models
• Assist in documenting methodologies and workflows
• Support development of dashboards and visual outputs
• Work closely with stakeholders to understand problem statements
• Ensure analytical outputs align with business objectives
• Participate in framework evaluation and governance discussions
• Stay informed about advancements in data science tools
• Assist in testing emerging technologies and platforms
• Contribute ideas to improve efficiency and accuracy
• Follow ethical and responsible data usage practices
Qualifications:
• Currently pursuing or recently completed a bachelors or masters degree
• Academic background in data science, statistics, mathematics, or computer science
• Familiarity with machine learning concepts and workflows
• Exposure to large language models and transformer architectures
• Understanding of models such as BERT, RoBERTa, and T5
• Experience using modern AI tools such as ChatGPT and similar systems
• Basic understanding of predictive modeling and pattern recognition
• Awareness of deep learning and ensemble methods
• Ability to approach problems logically and analytically
• Willingness to learn from peers and mentors
• Comfort working in collaborative team environments
• Strong written and verbal communication abilities
• Ability to explain analytical findings clearly
• Interest in applied AI and real world problem solving
• Motivation to grow skills rapidly in a professional setting
Additional info:
• The organization follows fair and inclusive hiring practices
• Reasonable accommodations are available for candidates with disabilities
• Applicants are encouraged to report accommodation needs early
• The company does not request payment or banking details during hiring
• Candidates are advised to stay alert against recruitment scams
• Equal opportunity principles guide all hiring decisions
• Employment decisions are based on skills and merit
• Personal characteristics protected by law are respected
• Privacy and data protection standards are followed throughout recruitment
• The role provides exposure to global teams and projects
• Learning resources and internal support systems are available
• Career progression paths exist within data and analytics teams
• Employees are encouraged to build long term careers within the organization
Please click here to apply.
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