Build and train ML models on large-scale datasets to solve various business use cases
Use data processing frameworks for feature engineering and be proficient across various data both structured and un-structured.
Use Deep Learning models like Regression, classification, clustering, CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection.
Collaborate to develop large-scale data modelling experiments, evaluating against strong baselines, and extracting key statistical insights and/or cause and effect relations.
Experience across broad range of modern data science and analytics tools (e.g., R, SQL, STATA, NoSQL, Hive, Hadoop, Spark, Python);
Proficiency in visualization tools including Tableau, Cognos, Power BI, and similar tools required;
Execute sound data curation, wrangling, and associated correlation processes;
Synthesize analytical findings for consumption by the teams and senior executives, and articulate analytical findings in clear and concise deliverables, including presentations, discussions, and visualizations.
What you’ll need to succeed
Advanced Degree in field of Computer Science, Data Science or equivalent discipline.
Minimum 5+ years of working experience as a data scientist.
Expertise with Python, PySpark, DL frameworks like MLOps.
Experience in designing and building highly scalable distributed Machine Learning models in production (Scala, applied machine learning, proficient in statistical methods, algorithms).
Experience with analytics (ex: Tableau, SQL, Alteryx Presto, Spark, Python).
Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization).
Someone who can build models and solve models with TINY machine learning, Language processing, model building is a must.
This role is only open to Singaporean or PR holder, please state this in your CV.
What you’ll get in return
The company does provide attractive remuneration for their employees. Besides that, you will have the opportunity to be part of a well-known banking company.