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Snr Data Scientist, Data & AI Engr 1

Singtel Group

Singapore

On-site

SGD 90,000 - 130,000

Full time

Today
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Job summary

A leading technology services firm is seeking a Senior Data Scientist in Singapore. In this role, you will lead a team of data scientists to develop AI-driven solutions for real-world challenges, engage with clients, and drive operational excellence in MLOps. The ideal candidate will have strong foundations in mathematics and statistics, proven experience in AI deployment, and excellent problem-solving abilities.

Qualifications

  • Strong foundation in mathematics, statistics, and operations research.
  • Proven experience deploying AI and machine learning solutions in production environments.
  • Hands-on expertise in search algorithms, deep learning, and natural language processing (NLP).
  • Demonstrated leadership skills and effective stakeholder management.

Responsibilities

  • Lead, mentor, and inspire a team of data scientists.
  • Architect and implement scalable machine learning systems.
  • Act as a technical advisor for client projects.
  • Drive best practices in MLOps.

Skills

Leadership skills
Problem-solving abilities
Technical communication
Deep learning expertise
Natural language processing (NLP)
Experience with MLOps

Tools

pandas
Scikit learn
XGBoost
SeaBorn
Numpy
MLFlow
Job description
Overview

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NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Scientist, you will be guiding a team of data scientists and engineers to develop and deploy AI-driven solutions that address real-world business challenges.

Responsibilities
  • Team Leadership:
    Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous improvement.
  • Technical Strategy & Execution:
    Architect and implement scalable machine learning systems from ideation to production. Develop advanced statistical models and optimization algorithms to solve complex business problems.
  • Client & Stakeholder Engagement:
    Act as a technical advisor for client projects by translating business requirements into actionable data science solutions.
  • Operational Excellence:
    Drive best practices in MLOps, including the effective use of feature stores, model registries, and evaluation frameworks, to ensure the reliability and efficiency of AI systems.

Support presales efforts by providing technical insights and strategic recommendations.

Ideal Qualifications
  • Strong foundation in mathematics, statistics, and operations research
  • Proven experience deploying AI and machine learning solutions in production environments.
  • Hands-on expertise in search algorithms, deep learning, and natural language processing (NLP).
  • Demonstrated leadership skills and effective stakeholder management.
  • Familiarity with MLOps practices and tools is a plus.
  • Excellent problem-solving abilities and clear communication skills
  • Familiarity with vector databases, chunking, reranking, MLFlow, feature store, model registry, MLOps, GenAIOps
  • Ragas, Promptfoo, DeepEval, LLM as judge
  • OptAPlanner, TimeFold
  • pandas, Scikit learn, XGBoost, SeaBorn, Numpy
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