Jobs at SRKay Consulting Group

Senior Data Analyst/Data Scientist - SRKay Consulting Group

  • Singapore, Singapore, Singapore
  • Apply by: Jan 01, 2026
  • 1 Vacancy
  • Local Candidates (Singapore)
  • Experience: Year
  • Contract
  • Work from Office
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Job Description
Main Responsibilities:

Lead advanced data techniques and develop innovative prototypes of predictive data models through rapid build, validate, test and deploy so as to produce actionable insights that improve forecast accuracy, customer targeting and product recommendations and enable our internal teams to deliver a superior customer experience that provides competitive advantage.

Key Tasks:
  • Work closely with Data Analytics Lead to translate COE strategy stakeholder needs for predictive insights from their product solutions, scope out relevant use cases and deliver corresponding data models in an automated and timely manner
  • Deep dive into multiple internal and external structured and unstructured data to conduct advanced statistical analyses
  • Integrate, simulate, and A/B test the impact of algorithms and features
  • Develop quick data model prototypes by innovating, as well as hacking your way with off-the-shelves packages through iterative build, validate, test cycles
  • Store, retrieve, and visualize results in a presentable manner that facilitates decision-making for rollouts
  • Collaborate with regional data stewardship team to productionize and deploy final machine learning/ data science models efficiently in AWS
  • Publish innovation/findings and contribute to IP creation
  • Be key sparring partner for Data Analytics Lead to identify gaps in our data strategy and support in strategic planning of data analytics roadmap
  • Serve as secondary point of contact with global decision sciences team and periodically exchange updates and learnings on predictive data analytics and use cases
Qualifications:

-Masters in Computer Science, Engineering, Sciences, Math and Statistics or other relevant courses

-4-5 years relevant work experience

-Strong knowledge and practical application of ML algorithms such as Neural Network architectures, SVM, decision trees, boosting techniques etc

-At least 2+ years experience in building production-grade ML models and productionizing/deployment

-Experience in  AWS EMR, PostgresSQL ,Python, cloud APIs and using data processing platforms like Hadoop and Apache Spark

-Self-motivated, independent learner, and willing to share knowledge/be mentor with team members

-Good verbal and written communication skills to effectively engage with and present to non technical/ business stakeholders

Skills Required
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