Job Title

Role & Responsibility:Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience(typically 5+ years)designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.In addition to the above, the following skills also need to be checked:Classical ML (Supervised/Unsupervised learning things like regression, clustering, etc.) Deep Learning (if any area needed it's likely to be limited to fine-tuning a model, not creating one from scratch). Optimisation (linear, non-linear, etc.) LLM/RAGs