Lead client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design solution architectures using our low-code data science studio, visual ETL, and lakehouse with CDC, balancing maintainability and scale.
Write maintainable Python to extend and integrate platforms, build APIs, custom transformations, model logic, and automation where visual tools are insufficient.
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Currently pursuing a Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Information Technology, or a related discipline.
Basic understanding of statistics, data analysis, and machine learning concepts.
Familiarity with Python or R for data analysis.
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Candidate must possess at least a Bachelor’s Degree / Post Graduate Diploma / Professional Degree in Engineering (IT / Telecommunication) or equivalent
Our preference is for interns who can start in Oct/Nov and commit to at least 5 months, ideally 6 months, to fully benefit from the internship experience
To speed up the shortlisting process, please let us know your internship start and end dates when you apply. It really helps us review applications quicker!
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5+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, Systems Engineering, or a similar infrastructure-focused role, with strong hands-on experience designing, operating, and troubleshooting production cloud infrastructure.
Strong production experience with AWS, including services such as EC2, VPC, IAM, S3, load balancing, auto scaling, and related cloud services.
Strong hands-on experience designing, deploying, and operating Kubernetes environments.
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