Industry Consulting Manager

NTT America, Inc.; Pune District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

NTT DATA in Pune, India is seeking a Data Scientist to analyze large datasets, build predictive models, and generate actionable insights to drive business decisions. The role involves data cleaning, feature engineering, and deploying ML models, with exposure to visualization tools like Power BI and Tableau.

Collaboration with cross-functional teams is essential to deliver business impact. The candidate should be proficient in Python or R, experienced with ML libraries, and comfortable working

Qualifications

• Strong proficiency in Python / R
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Knowledge of SQL and data manipulation
• Understanding of statistics and probability
• Experience with data visualization tools (Power BI, Tableau)

Responsibilities

• Analyze structured and unstructured data to extract meaningful insights
• Build, validate, and deploy machine learning models
• Perform data cleaning, feature engineering, and exploratory data analysis
• Collaborate with cross-functional teams to understand business requirements
• Develop dashboards and visualizations to communicate findings
• Stay updated with latest trends in AI/ML and data science

Skills

Python

R

SQL

Statistics

Probability

Data Visualization

Tools

Scikit-learn

TensorFlow

PyTorch

Power BI

Tableau

Spark

Hadoop

AWS

Azure

GCP

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,

We are currently seeking a Industry Consulting Manager to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

Role Overview:

We are looking for a Data Scientist to analyze large datasets, build predictive models, and generate actionable insights to drive business decisions.

Key Responsibilities:

• Analyze structured and unstructured data to extract meaningful insights
• Build, validate, and deploy machine learning models
• Perform data cleaning, feature engineering, and exploratory data analysis
• Collaborate with cross-functional teams to understand business requirements
• Develop dashboards and visualizations to communicate findings
• Stay updated with latest trends in AI/ML and data science

Required Skills:

• Strong proficiency in Python / R
• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)
• Knowledge of SQL and data manipulation
• Understanding of statistics and probability
• Experience with data visualization tools (Power BI, Tableau)

Good to Have:

• Experience with big data tools (Spark, Hadoop)
• Cloud exposure (AWS, Azure, GCP)

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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