Industry Consulting Snr. Consultant

NTT DATA, Inc.

Pune District

Hybrid

INR 900,000 - 1,500,000

Full time

30 hours ago
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Job summary

NTT DATA, Inc. 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 collaborating with cross-functional teams and developing dashboards to communicate findings.

Responsibilities include data cleaning, feature engineering, and staying updated with AI/ML trends. Experience with Python/R, ML libraries, SQL, and visualization tools is required.

Qualifications

  • Proficient in Python or R for data science tasks.
  • Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch).
  • Strong SQL and data manipulation skills.

Responsibilities

  • Analyze structured and unstructured data to extract insights.
  • Build, validate, and deploy ML models.
  • Perform data cleaning and feature engineering.

Skills

Python
R
ML libraries
SQL
Statistics
Data Visualization

Tools

Spark
Hadoop
Power BI
Tableau

Job description

Req ID: 366462


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 Snr. Consultant 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.


NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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