Kroll is hiring for a FRESHER entry level Data Scientist role in India

Position:

• Data Scientist, Analyst Decision Intelligence

Company:

• Kroll

Location:

• New Delhi, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• 21013936

Years of experience:

• 0 to 6 months

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Company description:

• Kroll is a globally recognized organization that operates at the intersection of data, risk advisory, financial intelligence, and technology-driven consulting.
• The company focuses on helping businesses deal with uncertainty, risk, and complex decision-making challenges through data-backed insights and structured analysis.
• With headquarters in New York and a strong international presence, Kroll supports organizations across multiple industries including finance, corporate advisory, and governance.
• The firm is known for combining analytical thinking with advanced technological tools to deliver actionable intelligence rather than just surface-level insights.
• Kroll promotes a collaborative work culture where employees are encouraged to contribute ideas, share perspectives, and work together toward common goals.
• Diversity and inclusion are central to the organization’s philosophy, with an emphasis on respecting different viewpoints and fostering innovation through varied experiences.
• The company operates under a unified approach often referred to as One team, One Kroll, which reflects its commitment to teamwork and cross-functional collaboration.
• Employees are provided with opportunities to work on global projects, interact with international teams, and engage with clients from different industries.
• Kroll’s Decision Intelligence division focuses specifically on providing analytical advisory services throughout the lifecycle of business transactions.
• This includes support from the initial deal stage through execution and final closure, ensuring data-driven decisions at every step.
• The organization values integrity, transparency, and ethical conduct, ensuring that all employees uphold the highest professional standards.
• Kroll continuously invests in innovation, especially in areas like artificial intelligence, machine learning, and data analytics, to stay ahead in a rapidly evolving market.
• Employees at Kroll gain exposure to real-world business challenges, making it an ideal workplace for those looking to build strong analytical and consulting skills.
• The company also emphasizes learning and development, offering a platform for professionals to enhance their technical and business capabilities.
• Overall, Kroll provides an environment where individuals can grow, contribute meaningfully, and work on impactful projects across global markets.

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Profile overview:

• The role is designed for entry-level professionals who are passionate about data science, artificial intelligence, and analytics-driven problem solving.
• As a Data Scientist Analyst in the Decision Intelligence team, the individual will be involved in building data-driven solutions that help clients make informed business decisions.
• The position requires working closely with data, applying statistical techniques, and developing machine learning models to extract meaningful insights.
• Candidates will be expected to contribute to projects involving artificial intelligence, including generative AI and large language models.
• The role involves hands-on coding, primarily using Python, along with exposure to various data science frameworks and tools.
• Professionals in this role will work with large datasets and implement scalable solutions using modern data processing techniques.
• Since it is a client-facing position, individuals will interact directly with clients, understand their requirements, and deliver analytical solutions accordingly.
• The role offers exposure to multiple industries, allowing candidates to understand different business problems and apply data science techniques in varied contexts.
• Collaboration is a key aspect, as the individual will work with cross-functional teams across different regions.
• The position also requires strong communication skills to explain complex analytical findings in a clear and structured manner.
• Candidates will be expected to manage multiple tasks simultaneously and adapt to changing project requirements.
• The role includes participation in discussions with management and stakeholders to identify data needs and potential solutions.
• Individuals will also contribute to the development of APIs and deployment of machine learning models.
• The position encourages learning and growth, especially in advanced topics such as deep learning, natural language processing, and AI-driven applications.
• Overall, the role is suitable for candidates who are eager to build a career in data science while gaining exposure to consulting and client engagement.

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Responsibilities:

• Apply scientific methods and analytical techniques to process and interpret complex datasets.
• Develop machine learning models to generate insights and support business decision-making.
• Build solutions using artificial intelligence, including generative AI and natural language processing techniques.
• Design and implement APIs using Python to enable integration of data-driven solutions.
• Work with large volumes of structured and unstructured data using modern data processing tools.
• Collaborate with teams across different functions and geographic regions to deliver project outcomes.
• Engage directly with clients to understand business problems and provide analytical solutions.
• Perform statistical analysis to identify patterns, trends, and correlations in data.
• Develop predictive and forecasting models to support business strategies.
• Contribute to projects related to mergers and acquisitions, including due diligence and financial analysis.
• Ensure adherence to ethical standards and company policies in all project activities.
• Participate in internal and external meetings to discuss analytical requirements and deliverables.
• Support the development of scalable and efficient data pipelines.
• Continuously learn and apply new technologies and methodologies in data science.
• Manage multiple assignments while maintaining quality and meeting deadlines.
• Communicate insights effectively through reports, presentations, and dashboards.
• Assist in optimizing business processes using data-driven approaches.
• Work independently as well as collaboratively within a team environment.
• Adapt to evolving business needs and changing client requirements.
• Travel when required to support project delivery and client interactions.

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Qualifications:

• Bachelor’s degree in engineering from a reputed institution.
• Basic understanding of data science concepts and methodologies.
• Familiarity with machine learning algorithms such as regression, classification, and clustering.
• Exposure to generative AI and large language models.
• Strong programming skills, especially in Python.
• Knowledge of data structures and algorithms.
• Understanding of statistical techniques including regression and optimization.
• Experience or familiarity with data science frameworks and libraries.
• Awareness of cloud platforms such as Microsoft Azure, AWS, or Snowflake.
• Basic knowledge of Azure Cognitive Services is preferred.
• Familiarity with data visualization tools like Power BI or Tableau is an advantage.
• Strong analytical and problem-solving abilities.
• Good communication skills, both written and verbal.
• Ability to work effectively in a team environment.
• Basic understanding of business intelligence and enterprise systems.
• Proficiency in Microsoft Office tools, especially Excel and Word.
• Willingness to learn and adapt to new technologies.
• Ability to manage time and prioritize tasks efficiently.
• Interest in financial advisory and transaction-related projects.
• Strong interpersonal skills for client interaction.

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Technical Requirements:

• Ability to develop and implement machine learning models using Python.
• Understanding of deep learning and natural language processing techniques.
• Familiarity with data handling and preprocessing methods.
• Experience with statistical modeling and forecasting techniques.
• Exposure to cloud-based deployment environments.
• Ability to build and manage data pipelines.
• Understanding of business performance analysis and reporting.
• Participation in discussions related to data requirements and analytical strategies.
• Capability to translate business problems into technical solutions.
• Interest in developing techno-functional consulting skills.
• Knowledge of financial modeling and scenario analysis is beneficial.
• Ability to contribute to transaction advisory processes using data analytics.
• Experience with optimization techniques for business applications.
• Familiarity with APIs and integration of data solutions.
• Ability to handle large-scale datasets efficiently.

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Additional info:

• The role offers global exposure through collaboration with international teams.
• Candidates will gain experience working on real-world business challenges.
• The position provides opportunities to interact with clients across different industries.
• Employees are encouraged to take initiative and contribute innovative ideas.
• The company supports continuous learning and professional development.
• The role involves working in a dynamic and fast-paced environment.
• Flexibility to travel is expected as part of project requirements.
• The organization promotes a culture of teamwork and mutual respect.
• Employees are expected to maintain high ethical standards in all activities.
• The position offers a strong foundation for building a career in data science and consulting.
• Exposure to mergers and acquisitions projects provides valuable industry experience.
• The role includes opportunities to work with advanced technologies such as AI and cloud computing.
• Candidates will develop both technical and business skills.
• The work environment encourages collaboration and knowledge sharing.
• The company provides a platform for career growth and advancement.
• The role is ideal for fresh graduates looking to start their career in data science.
• Employees will be part of a diverse and inclusive workplace.
• The position allows individuals to contribute to impactful projects.
• The company values innovation and encourages employees to explore new ideas.
• Overall, the role provides a balanced mix of technical work and client interaction.

Please click here to apply.