Senior Data Scientist

A Leading Global Consultancy is seeking a high-impact Senior Data Scientist to join its advanced analytics team. In this pivotal role, you will apply sophisticated Machine Learning and Artificial Intelligence techniques to solve complex business problems for global financial clients. Furthermore, you will lead the development of predictive models that drive customer acquisition, risk assessment, and operational efficiency. Consequently, this position is vital for delivering data-led strategic value and maintaining our position as an industry innovator.

The Senior Data Scientist must bridge the gap between technical algorithmic design and practical business application. Additionally, you will lead multidisciplinary teams to deploy scalable AI solutions and communicate complex insights to C-suite stakeholders. Therefore, the consultancy is looking for a professional with 5 to 8 years of experience in data science and advanced modeling. If you are a first-principles thinker with a passion for numbers and technology, this Senior Data Scientist role offers a premier platform for innovation.

Key Responsibilities

• Develop and deploy advanced Machine Learning (ML), Deep Learning, and GenAI models.
• Analyze large-scale structured and unstructured datasets to generate actionable business insights.
• Collaborate with stakeholders in Risk, Marketing, and Operations to design data-driven strategies.
• Lead the end-to-end data science lifecycle, from hypothesis testing to production deployment.
• Create robust data pipelines and feature engineering frameworks to enhance model performance.
• Identify and mitigate potential biases in AI models to ensure ethical and fair results.
• Communicate technical findings through high-impact visualizations and executive presentations.
• Stay ahead of emerging trends in AI research and implement state-of-the-art technologies.
• Mentor junior data scientists and foster a culture of technical excellence and curiosity.
• Optimize model scalability and performance in cloud environments (AWS/GCP/Azure).

Requirements and Qualifications

• Ph.D. or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
• 5 to 8 years of professional experience in Data Science and Predictive Modeling.
• Expert proficiency in Python or R and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Strong knowledge of SQL and Big Data technologies (Spark, Hadoop, or Snowflake).
• Proven ability to translate complex business requirements into technical data solutions.