Data Scientist

NTT DATA North America; Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology services leader is looking for a Data Scientist in Chennai, India. The candidate will drive data insights to uncover business opportunities and conduct detailed analyses in AI and machine learning. Requirements include over 4 years of experience in data science projects, along with proficiency in Python or R. The position may require travel and emphasizes collaboration with clients for effective project outcomes. A Master's degree is preferred.

Qualifications

• 4+ years of experience supporting data science projects in a consulting environment.
• 4+ years of experience in Predictive Analytics, Data Design, Statistics, AI/ML.
• 3+ years of experience using Python and/or R to analyze disparate datasets.
• Ability to travel at least 25%.

Responsibilities

• Drive new data insights for business opportunities.
• Work with stakeholders to create analytic models.
• Conduct market research and communicate findings to clients.
• Implement batch and real-time model scoring.

Skills

Statistics

Data visualization

Machine Learning

Client satisfaction

Data wrangling

Data processing

Education

Master’s degree

Undergraduate degree

Tools

Python

R

Job description

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Data Scientist to join our team in Chennai, Tamil Nādu (IN‑TN), India (IN).

Job Duties

• Driving new data insights to uncover business opportunities & revenue streams.
• Have a firm understanding of statistics and data visualization for communication.
• Has an understanding of business growth areas & how to utilize important data. Be responsible for identifying new analytic trends/data needs and repeatable analytic solutions.
• Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions.
• Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.
• Be experienced in Data Wrangling and Dynamic Model Tuning.

Key Responsibilities

• Working on projects leveraging your expertise in data science, artificial‑intelligence and machine learning.
• Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.
• Conduct market research, develop a point‑of‑view and communicate effectively back to clients and stakeholders.
• Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.
• Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.
• Work with data sets of varying degrees of size and complexity including both structured and unstructured data.
• Piping and processing massive data‑streams in distributed computing environments.
• Implement batch and real‑time model scoring.
• Assemble large, complex data sets that meet functional / non‑functional business requirements.
• Apply business knowledge to analyze data, develop reports and solve problems.
• Perform ad hoc analyses of data depending on business needs.
• Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.

Basic Qualifications

• 4+ years of experience supporting data science projects in a consulting environment.
• 4+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops.
• 3+ years of experience using Python and/or R to analyze disparate datasets.
• Ability to travel at least 25%.

Preferred Skills

• Master’s degree preferred.
• Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• You are a team player that is a consistent, dependable performer with an excellent work ethic, a flexible “can‑do” attitude, and a commitment to success.
• Professional verbal and written communication.
• Undergraduate or Graduate degree preferred.

Minimum Skills Required

• 4+ years of experience supporting data science projects in a consulting environment.
• 4+ years of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Statistics, AI/ML, ML Ops.
• 3+ years of experience using Python and/or R to analyze disparate datasets.
• Ability to travel at least 25%.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise‑scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start‑up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in‑office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.

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