Data Scientist

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. The position is an individual contributor role with significant collaboration across business and technical teams. **Key Roles and Responsibilities of Position:** + 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. + Stay informed about emerging developments in machine learning, data science, Generative AI, and analytics methodologies, and apply relevant innovations to business challenges. + Communicate analytical findings and recommendations effectively to technical and non-technical audiences. **Minimum Qualifications** + 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. **Preferred Qualifications** + Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related 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. + Excellent problem-solving, communication, stakeholder management, and presentation skills.\#LI-SKV