Data Scientist

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• Conduct applied research and experimentation in privacy-enhancing technologies (PETs) such as anonymisation, synthetic data generation, and differential privacy.
• Design and implement scalable, data-driven solutions using machine learning and AI.
• Develop proof‑of‑concepts and evaluate the real‑world applicability of emerging privacy technologies.
• Collaborate with cross‑functional teams including data engineers, software developers, and product managers to design end‑to‑end data solutions.
• Partner with stakeholders to understand data privacy challenges and recommend suitable technical approaches.
• Support deployment, testing, and optimisation of privacy‑focused systems and tools.
• Stay updated with recent advancements in AI, ML, and data privacy research and translate them into practical implementations.

• Bachelor’s degree or higher in Computer Science, Data Science, or a related discipline.
• 2‑3 years of hands‑on experience in data science, machine learning, or applied research.
• Proficiency in Python and familiarity with ML frameworks such as PyTorch, Tensor Flow, or scikit‑learn.
• Strong analytical and problem‑solving skills with experience in model development and experimentation.
• Ability to read and evaluate research papers and apply findings to practical solutions.
• Excellent communication skills to explain technical concepts clearly to both technical and non‑technical audiences.
• Collaborative mindset and ability to work effectively in multidisciplinary, Agile environments.

Job Role
:
Data Scientist

Job Location
:
Singapore

Experience
: 2‑3 Years