Data Scientist (Data Practice) – 1 year contract
Direct message the job poster from Certis Integrated Services
The Role: Data Scientist (Data Practice)
Join a forward‐thinking team that pioneers privacy‐enhancing technologies (PETs) to enable safe and effective data sharing across public sector agencies.
As a Data Scientist, you’ll be instrumental in transforming cutting‐edge research into scalable solutions that uphold data privacy while unlocking the value of data for public good.
You will be involved in:
Applied Research & Development
Design and conduct experiments to assess the feasibility and impact of emerging privacy technologies.
Build proof‐of‐concept models that demonstrate real‐world applicability.
Translate academic research into practical solutions for deployment.
Contribute to knowledge sharing through publications and collaboration with partners.
Work closely with public agencies to understand privacy challenges and operational needs.
Lead pilot implementations of PETs and gather feedback to refine solutions.
Provide technical guidance and support throughout the adoption process.
Identify opportunities to apply PETs to common data challenges.
Develop scalable solutions for broad adoption across government ecosystems.
Create clear frameworks for implementation and integration.
Cross‐Functional Teamwork
Collaborate with data scientists, engineers, and product managers.
Align technical solutions with evolving regulatory and governance requirements.
What are we looking for?
We’re seeking a curious and collaborative Data Scientist with a strong foundation in machine learning and a passion for privacy innovation.
Requirements
Bachelor’s degree or higher in Computer Science, Data Science, or related field, with 2–3 years of relevant experience.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit‐learn.
Strong understanding of model development, experimentation, and performance optimization.
Ability to critically evaluate academic research and apply findings to real‐world problems.
Experience designing and conducting experiments to validate hypotheses.
Comfortable working with ambiguity and developing novel approaches.
Excellent communication skills to explain technical concepts to diverse audiences.
Collaborative mindset and experience working in Agile, cross‐disciplinary teams.
Interest or experience in privacy‐enhancing technologies (e.g., anonymisation, synthetic data, differential privacy).
Bonus: Familiarity with frontend integration workflows (e.g., React/Next.js).
We regret that only shortlisted candidates will be notified.
Thank you.
By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (
Seniority level
Mid‐Senior level
Employment type
Contract
Job function
Information Technology
Industries
Human Resources
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