At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial……
Minimum 1 year of relevant experience (including internship) in operations, manufacturing, or supply chain. Build forecasting and optimisation models, and use……
Experience should be in a hands-on capacity within cybersecurity, IT operations, or a related field. Basic Qualifications: Associate: Minimum of 6 months of……
3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data. Data Processing & Quality Assurance.…
At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data engineering /Gen AI, full stack engineering……
Interpret data to inform insights and recommendations. At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and……
Demonstrated experience at a data-intensive organisation with complex, heterogeneous data environments — financial data, enterprise data platforms, or……
Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the……
Master’s degree in Computer Science, Software Engineering, Engineering or a related technical field, with at least 2 years of relevant work experience.…
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust. Design and build solutions across cloud adoption,……
Strong understanding of data modeling, data warehousing concepts, and lakehouse architecture. Experience designing and implementing data architectures, ETL/ELT……
Faculty/Department-Level Unit: Office of Research. CBDS is seeking to fill a tenure track faculty position at the Assistant or Associate Professor level.…
Strong written and verbal communication skills including the ability to clearly articulate findings, recommendations, and complex concepts to stakeholders at……
Investigate state-of-the-art methods in the field Statistical Analysis, Machine Learning, Deep Learning and/or other related AI methods for anomaly detection.…
Strong proficiency in a modern development language such as Python. Hands-on experience with modern databases and data platforms such as PostgreSQL, MS SQL,……
Master's degree in a relevant field. Demonstrated professional experience in data science, AI, or applied machine learning. Tool-using and multi-agent systems.…
Data engineering basics: SQL proficiency, familiarity with data pipeline tooling (dbt, Airflow, or equivalent), and ability to design data access patterns……
Experience working with structured and unstructured data in content-rich environments. Ability to design and implement APIs, data pipelines and system……
Contribute to SIT’s continuing education offerings. The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering……
Net, C++ or similar object oriented language experience. 3+ years of scripting, programming, and security code review in a common programming language (non-……
Bachelor's degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field. Familiarity with data governance, data quality, lineage……
Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on……
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.
Over the course of the programme, you will:
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Participate in an intensive technology acceleration journey with structured learning and mentorship
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Gain hands-on exposure across modern technology domains including:
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Explore different career pathways aligned to your interests and strengths
Technologies Skills Exposure
Graduates will gain exposure to modern enterprise technologies such as:
Microsoft Azure, AWS, Kubernetes, Docker, Terraform, Python, SQL, Databricks, Generative AI, Machine Learning, API Development, Microservices, Power Platform, Automation Tools, VMware, Cloud Security, Zero Trust, SIEM, and DevOps practices.
Programme Development Streams
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Innovation Stream
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Explore emerging technologies, creative problem-solving, and innovation-driven initiatives that shape the future of digital transformation.
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Technical Certification Stream
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Develop industry-recognised technical competencies through structured learning pathways and professional certifications.
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Client Project Stream
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Gain practical experience by working alongside experienced professionals on real client engagements across various industries.
Career Pathways
Upon completing the foundational programme, graduates may progress into specialised career pathways including: Cloud Engineering IT Infrastructure Application Development Data Engineering AI / Machine Learning Cybersecurity.
What We’re Looking For
We are looking for passionate and driven graduates who are excited to build a career in technology and digital innovation.
You should possess:
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A strong passion for technology and continuous learning
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Curiosity towards emerging digital technologies and innovation
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Strong analytical and problem-solving abilities
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Good communication and collaboration skills
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Adaptability and willingness to learn across multiple domains
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Basic knowledge or exposure in programming, cloud, data, cybersecurity, infrastructure, or software development is advantageous.
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Academic Qualifications and Certifications: Diploma or Bachelor’s degree (or equivalent) in a Computer Science or equivalent.
Preferred exposure includes technologies or languages such as Python, Java, JavaScript, cloud platforms, databases, APIs, or automation tools.
Why Join GLOW?
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Accelerated career development journey
•
Exposure to modern enterprise technologies
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Hands-on real-world project experience
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Opportunity to work with clients across multiple industries
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Mentorship from experienced professionals
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Industry-recognised certifications
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Specialised career pathways
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Opportunity to build a strong professional network
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Career opportunities within a leading global technology organisation
Start Your Journey With Us
Build your foundation. Explore modern technologies. Work on real projects. Shape your future. Apply now and begin your journey towards becoming a future-ready digital professional.
Workplace type: On-site Working
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 70 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 RD.
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.