NTT DATA North America is hiring for an FRESHER entry level Data and Business Insights (Data Scientist role as per JD) Analyst role in India

Position:

• Data and Business Insights Analyst (work is more of a Data Scientist) - Data Scientist role as per JD

• Focus on work related to natural language processing

• Involvement in applied analytics and data centric solutioning

• Primary responsibility to support ongoing and new initiatives that revolve around text based systems

• Works closely with technical teams to refine models, clean datasets, and demonstrate project outcomes

• Expected to showcase ability to work with end to end pipelines

• Plays a key part in preparing model inputs, interpreting findings, documenting results, and presenting them to senior members

• Contributes to development of modern analytics assets and supports innovation within the unit

• Assists in planning and improvement of model performance through repeated experimentation

• Helps in bridging understanding between analytical output and business expectation

• Expected to continuously learn new tools that strengthen analytical readiness

Company:

• NTT DATA North America

• Large scale global professional services firm

• Active in consulting, digital transformation, artificial intelligence, application development, infrastructure management, and enterprise operations

• Known for offering robust delivery frameworks and extensive global client coverage

• Part of a long standing worldwide enterprise that supports public and private sector clients

Location:

• Chennai

• Situated within one of the major Indian hubs for technology and analytics jobs

• Work takes place in office environment

• Situated within the India operations network of the organization

Job type:

• Full time role

• Requires consistent daily involvement with ongoing project work

• Suitable for new graduates and early career candidates who want hands on experience

• Standards follow enterprise grade delivery requirements

• Long term commitment expected for project cycles

Job mode:

• On site arrangement

• Daily work requires physical presence for collaboration

• Frequent interaction with peers, project leads, and senior staff within office premises

Job requisition id:

• Not specified 

• Internal systems will provide the final identifier during the hiring process

Years of experience:

• Suitable for zero to three years

• Freshers or entry level applicants encouraged

• Candidates with minimal experience but strong interest in natural language processing are also welcome

---

Company description

• NTT DATA North America functions as part of a globally recognized technology and consulting organization with a presence across several continents

• The company focuses on helping clients adapt to modern digital requirements through a wide array of services that cover business strategy, software solutions, technology implementation, and managed services

• Its operations reflect a strong emphasis on innovation, continuous improvement, and responsible use of emerging technologies

• Artificial intelligence, data engineering, enterprise modernization, and transformation of legacy systems play an important part in company wide initiatives

• The organization invests significantly in research and development to maintain relevance in a rapidly evolving environment

• It also works closely with clients from diverse industries including finance, healthcare, manufacturing, telecom, retail, and public sector

• The company encourages a culture where knowledge sharing, structured training, hands on mentorship, and collaborative problem solving support long term growth

• With a skilled workforce spread across many countries, the company maintains one of the strongest global delivery networks in the consulting sector

• Its guiding principles emphasize trust, stability, and resilient service structures

• Employees get exposure to innovative tools and approaches, especially in data analytics, cloud modernization, experience design, system integration, and strategic guidance

---

Profile overview

• This role involves continuous exposure to analytical workflows related to natural language applications, predictive modeling, data preparation, and insights generation

• The candidate will be given responsibilities that require building text based pipelines, understanding how tokenization works, preparing sequences, cleaning data, using multiple libraries, and creating interpretable features for models

• A significant part of the work takes place with Python and R environments, along with visualization tools such as Power BI which support business communication needs

• The organization expects the applicant to demonstrate interest in modern machine learning models such as convolution networks, recurrent networks, support vector methods, and embedding techniques

• The work draws heavily from natural language processing tasks like topic identification, classification, sentiment extraction, feature engineering, and structured representation of messy data

• The selected candidate will frequently interact with peers, project leads, and review teams to explain how each project was designed, why specific methods were selected, and how the results contribute to decision making

• The role suits individuals who enjoy exploring new techniques, documenting their thought process, analyzing results, and improving model behavior using systematic testing

• It also gives opportunities to understand enterprise processes closely, enabling the candidate to grow steadily within the analytics function

---

Qualifications

• Strong interest in programming using Python and R which are essential for most text processing operations within the organization

• Awareness of statistical concepts that help in model selection, parameter tuning, and evaluation

• Basic exposure to analytics tools such as Power BI for presenting insights visually

• Understanding of fundamental machine learning algorithms such as support vector machines, convolution networks, recurrent networks, and related constructs

• Interest in tasks related to natural language operations including topic discovery, sentence analysis, token preparation, vector representation, and sequence modeling

• Ability to explain project activities clearly to both technical and non technical audiences

• Confidence in presenting an end to end natural language project that demonstrates thoughtful design, problem framing, data handling, tuning approaches, and final output

• Willingness to work with large text datasets and explore different architectures to improve outcomes

• Adaptability to new tools, continuous learning, and readiness to absorb upcoming advancements

• Analytical mindset that supports structured reasoning in all parts of the workflow

---

Additional info

• The work environment involves multiple teams working on different analytical themes which allows freshers to learn from many ongoing projects

• The company provides access to advanced toolkits and comprehensive datasets which help new candidates build confidence in handling modern models

• Candidates who have worked on any project involving natural language handling, even in academic settings, will find that the role aligns closely with their learning goals

• The organization values curiosity, attention to detail, and ability to ask the right questions when dealing with data

• As natural language work evolves rapidly, employees are encouraged to keep track of new developments, participate in internal training sessions, and read scientific material relevant to their domain

• Individuals who demonstrate clarity of thought and willingness to experiment will find multiple opportunities to work on specialized subprojects

• The role requires patience because natural language tasks often involve long cycles of cleaning, testing, refining, and verifying correctness

• A supportive team ecosystem ensures that freshers can ask for help freely, review previous work done within the firm, and follow quality guidelines for all deliverables

Please click here to apply.