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Hays · Singapore, Singapore

Senior Data Scientist (InsurTech)

Hybridseniorfull timePosted 10 days ago
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Stack mentioned

mlopsazurepythonsqlstatisticsnlpdata-sciencemachine-learningai-safetydata-governanceapache-sparkdeep-learningtime-seriesgenerative-aia/b-testing

About the job

An Insurtech start-up is looking for a Senior Data Scientist to join their team.

Your new role

As a Senior Data Scientist, you will be responsible for:

- Design end-to-end ML solutions by translating business problems into scalable AI systems.

- Perform data exploration and feature engineering on large, complex healthcare datasets.

- Develop, validate, and deploy machine learning models with reproducible and scalable pipelines.

- Productionize models with MLOps, monitoring, drift detection, and retraining strategies.

- Collaborate with cross-functional teams and act as a technical subject matter expert.

- Ensure responsible AI practices, data governance, and regulatory compliance across workflows.

What you’ll need to succeed

- 8+ years’ experience in data science, with preference for PhD and Azure certifications.

- Strong programming skills in Python, PySpark, SQL, and reproducible data workflows.

- Expertise in ML, statistics, deep learning, NLP, time series, and GenAI applications.

- Strong analytical rigor with experience in evaluation frameworks, experimentation, and trade-off decisions.

- Proven experience in model deployment, MLOps, scalability, and lifecycle management.

- Focus on responsible AI, data governance, cloud platforms (Azure), and cross-functional collaboration.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

- Structured career growth and plenty of developmental opportunities

- Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email [email protected]. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

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