Data Scientist

Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions.
Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration.
Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications.
Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data office.
Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems.
Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis.
Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets.
Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences.
Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices.

PhD in Statistics, Computer Science, Mathematics (or) Master’s / Bachelor’s degree with significant work experience.
Minimum 3+ years of experience as a Data Scientist or 5 years of Data Engineer or similar role.
Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling.
Proficiency in programming languages such as Python, R, and familiarity with big data processing tools Spark, Hadoop is a plus.