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Build and deploy production-grade ML models for customer segmentation, demand forecasting, and targeted campaigns in a large UK retail company undergoing AI transformation.
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
Build and deploy Python-based ML models and analytics solutions for clients while advising on AI transformation and workflow automation in a hybrid consulting role.
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
Senior Data Scientist at Flix designing and running causal experiments to measure marketing effectiveness and optimize global budget allocation using econometric methods and Python/SQL.
Build, train, and deploy ML/DL models (including LLMs) for clients, using Python, SQL, Spark, and cloud platforms, while following MLOps practices.
Builds and explains data models to prove marketing impact for e-commerce clients, combining Python, SQL, and BI tools with AI-driven analytics on a modern MCP stack.
Build predictive models and analyse retail/convenience fuel data to drive loyalty programs and real-time market insights using Python, SQL, and AI tools.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Senior Data Scientist builds and deploys ML models to optimize pricing, orders, and logistics for a large fashion ecommerce retailer using Python, PyTorch, and Spark.
Builds and maintains data-driven control systems for insurance operations, focusing on analytics and modeling to optimize processes.
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
Builds and maintains data pipelines, ML models, and analytics tools to improve Black Duck’s cybersecurity platforms, using Python, Airflow, Spark, and PostgreSQL.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Build and operationalize ML models (classification, forecasting, optimization) to drive business insights and automation, while ensuring data quality and compliance.
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