Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
The Principal Data Scientist is a highly skilled subject matter expert, tasked with managing the adoption of data science and analytics across the organization.
The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.
- Develops, designs, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
- Partners with stakeholders to identify opportunities for leveraging data to drive business solutions and leverage other data sources to enhance analysis.
- Works cross functionally to research, design, implement and deploy scalable data analytics vision and machine learning solutions to challenge complex business issues.
- Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
- Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Responsible for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Responsible for performing analysis using programming languages or statistical packages such as Python and R etc.
- Responsible for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
- Creates SQL queries for the analysis of data and visualizes the output of the models.
- Creates documentation around processes and procedures and manage code reviews.
- Responsible for ensuring that industry standards best practices are applied to development activities.
- Excellent understanding of data modelling, statistical methods and machine learning techniques.
- Excellent ability to thrive in a dynamic, fast-paced environment.
- Advanced quantitative and qualitative analysis skills.
- Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
- Strong curiosity to sift through data to find answers and more insights.
- Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
- Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
- Excellent ability to create a storyline around the data to make it easy to interpret and understand.
- Self-driven and able to work independently yet acts as a team player.
- Excellent ability to apply data science principles through a business lens.
- Desire to create strategies and solutions that challenge and expand the thinking of peers and senior leaders.
- Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
- Relevant programming certification preferred.
- Agile certification preferred.
- Extended demonstrated experience in a data science role in a corporate environment and/or related industry.
- Extended demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
- Extended demonstrated experience in programming languages (R, Python, etc.).
- Extended demonstrated experience working with and creating data architectures.
- Extended demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
- Extended demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.
Workplace type:
Hybrid WorkingAbout 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 part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Third parties fraudulently posing as NTT DATA recruiters
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters—whether in writing or by phone—in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.
Skills Required
- Extended demonstrated experience in a data science role in a corporate environment and/or related industry.
- Extended demonstrated experience in statistical modeling and data modeling, machine learning, data mining, unstructured data analytics, natural language processing.
- Extended demonstrated experience in programming languages (R, Python, etc.).
- Extended demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
- Bachelor's degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
NTT DATA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NTT DATA and has not been reviewed or approved by NTT DATA.
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Fair & Transparent Compensation — Feedback suggests salary bands and grades are clearly defined, making ranges and promotion criteria easier to understand. Standardized HR processes provide visibility into levels across common delivery roles.
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Healthcare Strength — Feedback suggests the package includes comprehensive medical, dental, and vision options with HSA/FSA eligibility. Global materials emphasize comprehensive insurance and wellbeing as baseline offerings across regions.
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Wellbeing & Lifestyle Benefits — Flexible work options, including remote/hybrid arrangements, are highlighted as core benefits and can support work–life balance. Some delivery teams report more manageable hours than strategy consultancies, improving perceived value for time.
NTT DATA Insights
What We Do
NTT DATA, Inc. is a trusted global innovator of business and technology services. We're committed to helping clients innovate, optimize and transform for long-term success. Our R&D investments help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity
