Larsen & Toubro is hiring for an fresher entry level Data Scientist role in India [Position Re-opened]

Position:

• Data Scientist [Position Re-opened after 6 months]

  • Initial job notification - https://www.takeofftalent.com/2024/11/l-is-hiring-for-fresher-entry-level.html

Company:

• Larsen & Toubro (L&T)

Location:

• Mumbai, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• LNT/DS/1216153

Years of experience:

• 0 - 1 years

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Company Description

• Larsen & Toubro (L&T) is a leading Indian multinational company operating in various domains including EPC projects, high-tech manufacturing, and services.

• With operations spanning across more than 50 countries globally, the company has earned a reputation for its engineering excellence, customer-centricity, and unwavering commitment to quality.

• L&T stands at the forefront of innovation with an integrated approach that blends financial, environmental, social, and technological capital.

• As the first Indian company in the engineering and construction sector to publicly share its sustainability metrics, L&T showcases its leadership in corporate responsibility.

• Its performance is tracked through an Integrated Report that not only reflects financial growth but also includes its impact on society, the environment, and employee engagement.

• The company focuses on building a resilient ecosystem that connects people, systems, and processes—ensuring consistent value creation.

• With a workforce of over 10,000 employees and a vast global network, L&T is committed to delivering long-term value and scalable infrastructure that meets global standards.

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Profile Overview

• The Data Scientist role at Larsen & Toubro offers an exciting opportunity for freshers and early-career professionals to drive meaningful insights through data.

• As part of a highly collaborative analytics team, the role involves identifying, collecting, analyzing, and interpreting large datasets to support data-driven decision-making.

• You will work closely with different stakeholders across the business to translate business challenges into analytical solutions that drive impact.

• This position provides an opportunity to contribute to product development, marketing strategies, and overall business improvement through data exploration and machine learning.

• You’ll build predictive models, perform A/B testing, and develop tools for performance monitoring, enabling real-time evaluation of business strategies.

• The ideal candidate should be detail-oriented, analytical, and able to communicate complex data insights in a clear and concise manner.

• With mentorship and exposure to industry experts, this role is ideal for someone looking to build a long-term career in data science within a reputed organization.

• Being at L&T also means contributing to projects that shape real-world infrastructure and services, offering both professional and societal impact.

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Qualifications

• Candidates must have a Master of Business Administration (MBA) with a strong foundation in data-driven decision-making.

• Additional certifications or academic exposure in data science, machine learning, or business analytics is a plus.

• Strong knowledge of programming languages such as Python and Java, and familiarity with SQL-based querying is highly desirable.

• Proficiency in using data visualization tools and platforms to present actionable insights in a business context.

• Solid understanding of statistical methods, predictive modeling, data mining, and analytics is necessary.

• Strong interpersonal and communication skills to work across departments and explain data results to non-technical stakeholders.

• A proactive attitude towards learning, innovation, and solution-oriented thinking is encouraged.

• Familiarity with modern tools and technologies in data science such as cloud-based platforms, experiment tracking tools, and APIs is advantageous.

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Additional Info

• The role offers an opportunity to work on high-impact business problems with access to vast real-time datasets.

• You will be part of a company that is not just engineering projects but engineering a better future through sustainability, innovation, and resilience.

• L&T supports a work environment that encourages continuous learning, experimentation, and collaboration across departments.

• Being a fresher role, the company offers structured onboarding, guidance from experienced professionals, and exposure to real-world use cases in analytics.

• As a Data Scientist, you will contribute to key decision-making processes ranging from marketing optimization to product innovation and business process improvement.

• The team you’ll be joining frequently engages in cross-functional projects with marketing, finance, engineering, and strategy units.

• L&T places a high value on integrity, quality, and data accuracy, ensuring that your work directly contributes to business growth and customer satisfaction.

• Career progression paths include transitioning into senior data roles, product analytics, business intelligence, and managerial positions based on performance and learning.

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Key Responsibilities (Expanded & Paraphrased)

• Collect, clean, and preprocess data from internal and external sources to create high-quality datasets for analysis.

• Work on structuring unstructured data to make it suitable for modeling and analysis.

• Engage in exploratory data analysis (EDA) to identify trends, patterns, and anomalies in business data.

• Collaborate with cross-functional stakeholders to define business problems that can be solved through data science.

• Translate stakeholder requirements into analytical tasks that can be executed using tools and algorithms.

• Build machine learning models to solve business problems such as forecasting, customer segmentation, churn prediction, or recommendation systems.

• Develop predictive models aimed at enhancing customer satisfaction, boosting revenue, and improving internal efficiencies.

• Use visualization tools such as Tableau, Power BI, or Matplotlib to present data insights in easy-to-understand formats.

• Analyze the effectiveness of various data-gathering methods and suggest optimizations.

• Work on designing and running A/B tests to validate the effectiveness of strategies and model assumptions.

• Create feedback loops to continuously update and refine models based on real-world data and outcomes.

• Support the development and implementation of automated pipelines for data collection, processing, and model deployment.

• Work closely with the IT and DevOps teams to ensure models are production-ready and aligned with performance benchmarks.

• Contribute to the development of internal tools and dashboards for real-time monitoring of key metrics.

• Ensure compliance with company standards regarding data security, ethical use of AI, and responsible data science practices.

• Document findings, models, assumptions, and learnings in a standardized format for future reference and audit.

• Maintain version control and testing protocols for all analytics assets developed within the team.

• Stay up to date with the latest trends, tools, and techniques in the field of data science and analytics.

• Participate in regular team meetings, brainstorming sessions, and knowledge-sharing activities to foster a collaborative work environment.

• Provide ad-hoc analytical support to departments as required to support business operations and strategic initiatives.

• Actively contribute to fostering a data-driven culture across the organization by encouraging the use of data insights in everyday decision-making.

Please click here to apply.

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