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Data Scientist – IT and Business Process Solutions

SpringCube

Full time - Senior Associate/ Asst Manager

IT Services & Consulting

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Scientist – IT and Business Process Solutions

Company Overview
This organization is an IT services and consulting company that partners with multinational corporations to deliver cutting-edge technology and business process outsourcing solutions. With a presence in Singapore, Malaysia, and India, the company strives to provide unparalleled value to its clients, employees, and associates within an honest and ethical environment.

Job Description
As a Data Scientist, you will lead analytics projects across banking, treasury, and market functions, employing advanced AI/ML models and statistical methods to derive actionable insights. You will integrate data-driven solutions into enterprise systems, optimize workflows, and contribute to the organization’s goal of delivering innovative and efficient solutions.

Responsibilities

  1. Lead analytics projects across treasury and market functions, including bond analytics, FX trading signals, product recommendations, and hyper-personalization.
  2. Conduct literature reviews and evaluate trade-offs between various quantitative algorithms and AI/ML models.
  3. Apply advanced statistical and machine learning methods to analyze and predict outcomes using transactional, operational, and customer data.
  4. Implement, train, and optimize AI/ML models for efficiency, leveraging GPU distributed computing and concurrent programming techniques.
  5. Refactor code into reusable libraries/APIs/tools and deploy machine learning pipelines, ensuring seamless sub-system integration.
  6. Automate CI/CD pipelines to maintain and monitor model lifecycles within enterprise MLOps ecosystems.

Required Experience

  1. Bachelor’s or Master’s degree in Mathematics, Statistics, Business Analytics, Computer Science, Engineering, or related fields.
  2. Solid understanding of the data science production lifecycle, with experience handling structured, semi-structured, and unstructured data.
  3. Proficiency in Python, SQL variants, and object-oriented programming, with knowledge of design patterns and code optimization.
  4. Demonstrable experience with AI/ML concepts and models, their mathematical underpinnings, and trade-offs.
  5. Practical experience applying quantitative and statistical techniques, such as hypothesis testing, regression, and causal analysis.
  6. Strong communication skills to present insights from technical work to non-technical audiences effectively.

Preferred Skills (At least two)

  1. Experience with Linux OS, OpenShift, and Kubernetes for container-based deployment.
  2. Knowledge of language models, RAG concepts, open-source generative AI frameworks, and prompt engineering principles.
  3. Familiarity with open-source computer vision and Document AI models for tasks like table recognition, handwriting recognition, and image understanding.
  4. Understanding of deep-learning model architectures and experience building custom solutions.
  5. Expertise in building data models, writing complex queries, and using BI/visualization tools like Tableau.
  6. Experience in MLOps ecosystem development, maintaining complete model lifecycles.
  7. Advanced knowledge of time series analysis, statistical signal processing, and related modeling techniques.
  8. Deep understanding of pricing, modeling, booking, and risk across diverse products and markets.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.