Data Scientist

Role Overview

We are seeking a highly motivated Data Scientist with expertise in machine learning, advanced analytics, and Generative AI technologies. The successful candidate will work with business stakeholders to translate complex business challenges into data-driven solutions and develop scalable analytical products that create measurable business impact. This role requires strong analytical thinking, hands-on technical expertise, and the ability to stay current with evolving data science and AI technologies.

Responsibilities

• Partner with business stakeholders to understand challenges, define analytical approaches, and translate business requirements into data science solutions.
• Analyze structured and unstructured datasets to identify trends, patterns, and actionable insights.
• Design, build, validate, and deploy machine learning and statistical models to support business decision-making.
• Develop Generative AI solutions leveraging prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and large language models.
• Build and deploy autonomous and multi-agent systems using frameworks such as Google Agent Development Kit (ADK), LangGraph, LangChain, or similar orchestration platforms.
• Design scalable data preparation, feature engineering, and data augmentation pipelines to improve model performance and robustness.
• Support end-to-end model lifecycle activities, including problem scoping, experimentation, model training, evaluation, deployment, monitoring, and optimisation.
• Ensure data quality, integrity, governance, and responsible AI practices throughout the analytics lifecycle.
• Communicate analytical findings and recommendations effectively to technical and non-technical audiences.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative discipline.
• 4+ years of hands-on experience applying machine learning techniques including regression, classification, clustering, decision trees, random forests, and support vector machines.
• 4+ years of experience using Python for data analysis, machine learning, and visualisation, including libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
• 4+ years of experience in SQL and relational database systems.
• 2+ years of experience developing Generative AI applications using prompt engineering, RAG architectures, embeddings, or model fine-tuning techniques.
• Experience developing AI agents or agentic workflows using Google ADK, LangGraph, LangChain, or similar frameworks.
• Familiarity with vector databases and semantic retrieval platforms such as FAISS, Pinecone, Vertex AI Vector Search, or similar technologies.

Skills

• Python
• SQL
• LangChain
• Machine Learning
• Generative AI

Preferred Qualifications

• Master's degree or PhD in a quantitative field.
• Experience developing and deploying machine learning solutions on Google Cloud Platform (GCP).
• Strong understanding of probability, statistical inference, linear algebra, numerical methods, optimisation, and neural network fundamentals.