Data Scientist
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Description
Data Scientist
Responsibilities:
- Take the ownership of AI /ML use cases from design and implementation to continuous enhancement.
- Serve as a technical specialist on AI with more focus on Gen AI within a data science team. Design and develop solutions to improve advisors sales journey and optimize operational efficiency.
- Collaborate with other data engineers analysts data scientists product specialists and other stakeholders to build well-crafted pragmatic and robust solutions that meet business requirements.
- Stakeholder management and engagement. Proactively engage with stakeholders to understand their needs and translate them into technical requirements for AI / ML modelling.
- Maintain documentation of dataset curation modelling approach model performance code changes and workflows.
- Demonstrate a strong understanding of data privacy regulations such as PDPA and AI governance guidelines to ensure compliance.
- Foster an innovative and growth-oriented mindset continuously seeking opportunities to enhance AI /ML models and drive improvements across the organization.
Requirements:
- 35 years of experience in data science role with relevant experience in AWS platform.
- A bachelors degree in computer science or equivalent.
- Familiarity with techniques for Document Chunking Embedding Information Retrieval for improving model accuracy and relevance.
- Expertise in Prompt Engineering for designing and managing effective prompts.
- Hands-on experience with AWS Bedrock including deploying solution using foundation models (e.g. Anthropic Claude Amazon Titan Meta Llama) and integrating them into scalable applications using APIs and orchestration tools.
- Experience in designing and applying evaluation frameworks for Gen AI models including metrics and human-in-the-loop evaluation. Able to implement validation process and guardrails to mitigate risks such as hallucination and misinformation ensuring the reliability and trustworthiness of AI-generated outputs.
- Experience in Agentic Flow for maximizing the utility of models including understanding user intent and context to drive meaningful interactions.
- In depth knowledge of supervised and unsupervised ML Models linear & logistic regression clustering tree-based models like random forest bagging and boosting models.
- In depth knowledge on feature engineering techniques hyperparameter tuning and model evaluation.
- Proficient in SQL Python and Spark.
- Proven experience in implementing MLOps practices on AWS.
- Familiar with Data Warehouses such as Redshift BigQuery Snowflake Hive and S3.
- Passionate about technology and always looking to upskill based on new developments in AI space.
- AWS certifications will be a plus.
- Experience in the financial industry telecommunications or consulting is preferred.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Income Insurance is Singapore's leading provider of Life, Health, Travel & Car Insurance as well as savings, investment and retirement plans. Get started online!
