NTT DATA | Data Scientist Role – Drive Business Impact Through Big Data, Analytics & Innovation

Are you passionate about using data to drive real-world decisions and innovation? As a Data Scientist, you’ll play a pivotal role in designing advanced analytics systems, building predictive models, and translating complex datasets into actionable business insights. This hybrid role blends data science, software engineering, and business intelligence to deliver scalable, high-impact solutions across the organization.

Job Description :-

Company:	NTT DATA
Job Role:	Data Scientist
Batches:	2021/2022/2023/2024/2025
Degree:	Bachelor’s degree
Experience:	Freshers/Experienced
Location:	Bangalore, INDIA
CTC/Salary:	INR 5-10 LPA (Expected)

🔹 Key Responsibilities

📊 Data Collection & Modeling

Design and develop systems to extract, consolidate, and analyze large volumes of structured and unstructured data from diverse sources.
Enhance data collection frameworks to ensure the inclusion of key metrics and variables for advanced analytics.

🔍 Data Processing & Algorithm Development

Clean, process, and verify large datasets to ensure accuracy and reliability for analysis.
Develop and implement machine learning models and algorithms that identify patterns, forecast trends, and solve business problems.

🧠 Advanced Analytics & Insight Generation

Leverage statistical modeling, data mining, and natural language processing to uncover insights.
Interpret analytical results and present them in a clear, impactful manner to business and product teams.
Apply creative data storytelling to make complex findings accessible to non-technical stakeholders.

💻 Software Development & Automation

Design and code automated systems and processes for data cleansing, integration, and evaluation.
Create scalable and high-performance data science applications using the latest tools and technologies.
Build and optimize SQL queries for in-depth analysis and visualization of outputs.

📈 Visualization & Communication

Effectively visualize analytical results and business insights using appropriate tools and formats.
Support decision-making by delivering reports and dashboards tailored to business stakeholder needs.

📋 Best Practices & Compliance

Ensure industry-standard best practices are followed throughout all data science and software development activities.
Collaborate with cross-functional teams to align analytics solutions with business goals.

🔹 Skills, Attributes & Knowledge

Strong proficiency in data modeling, machine learning, and statistical analysis.
Expertise in programming languages such as Python, R, and SQL.
Demonstrated experience in building data architectures, working with unstructured data, and performing natural language processing (NLP).
Solid understanding of data visualization tools and principles to communicate findings clearly.
Familiarity with Agile methodologies and a proactive, self-motivated approach.
Excellent communication skills with the ability to translate complex data concepts to business stakeholders.
A natural curiosity and a drive to continually learn and stay ahead of data science trends.

🔹 Education & Certifications

Bachelor’s degree (or equivalent) in Data Science, Computer Science, Engineering, Mathematics, Business Analytics, Economics, or a related field.
Certifications in programming languages (e.g., Python, R) are a plus.
Agile certification preferred.

🔹 Experience Required

Proven experience in a data science role within a corporate or industry setting.
Hands-on experience with:
- Machine learning, data mining, and NLP
- Data extraction, cleansing, and transformation
- Creating and managing data architectures
- Building scalable, production-ready data science applications
- Presenting data insights through dashboards and reports

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🔹 Workplace Type:

Hybrid Work Model – Enjoy the flexibility of working remotely while collaborating in person as needed.