Data Scientist- Relocation To Singapore
Virtusa · Singapore, Singapore · SGD 180K/yr
IT Services and IT Consulting · 10,001+ employees
About the role
The Data Scientist will participate in public sector projects by developing and scaling data tools and software products. They will collaborate with engineers to bring data science solutions into production while maintaining high-quality standards.
What they look for
Requirements
Candidates must hold a degree in a quantitative discipline and possess demonstrated experience in machine learning or data science. Strong programming skills in Python and proficiency in modern NLP and AI concepts are required.
Benefits
Full description
Virtusa helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality.
We are looking for experienced team players to fill the position of Data Scientist and participate in our up-and-coming project for our client from the public Sector.
You can expect:
- Relocation Package for you and your family
- Care of Buddy during your stay in Singapore
- salary up to SGD 15000 per month
- Fully on side work
Requirements
- A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience.
- Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval.
- Strong programming skills in Python and working knowledge of SQL, data processing, version control and software-development practices.
- Sound understanding of statistics, experimental design, evaluation methodology, sampling, error analysis and model validation.
- Experience working with unstructured text or other complex data types, and evaluating machine-learning or generative AI systems beyond a single aggregate metric.
- Familiarity with modern NLP and AI concepts such as embeddings, language models, prompt design and model evaluation.
- Ability to write maintainable code and work with engineers to bring data-science solutions into production.
- Strong analytical, problem-solving and communication skills, with the ability to explain technical findings and trade-offs clearly to diverse audiences.
- A proactive and collaborative mindset, willingness to learn, and motivation to improve public services and communications through technology
- Communicative English
