Senior Data Scientist

Our Technology team designs and engineers complex proprietary software that automates and optimizes the delivery of our market leading services. Using Agile methodologies, our Data Scientists work tightly integrated with engineering, data,Our team leverages the power of analytics and data-driven insights to drive smart investment and well-informed business decisions.
Indicative responsibilities include:

• Use mathematics, statistics, modeling, business analysis and technology to transform high volumes of complex data into advanced analytic solutions

• Build and evolve statistical and machine learning models that drive business impact
• Lead the data analysis effort to navigate a diverse set of datasets, organize and wrangle large datasets to get actionable insights 
• Deploy, operationalize and maintain data science solutions
• Partner with stakeholders across leadership to improve business outcomes
• Own and drive projects independently

If you are interested in working at the intersection of artificial intelligence, machine learning, software engineering and advanced business analytics and if you have the skills and drive to create and improve novel algorithms, models and, ultimately, technology products that our clients love, then we would love to hear from you.

Requirements

The ideal candidate would possess:

• MSc / PhD in Mathematics, Statistics, Computer Science or a relevant scientific field
• 4+ years of post-academic data science experience; advanced Python and/or R skills
• Ability to contribute and lead projects independently while being involved in conversations with relevant business stakeholders
• Strong skills working with algorithms, computational complexity, statistics and ML/AI techniques
• Proven experience with projects on Natural Language Processing and Transformer models.
• Hands-on experience with Large Language Models and transfer learning
• Understanding of and experience on using advanced analytics concepts (e.g., natural language processing, linear programming etc.)
• Passionate and talented in quickly assimilating business, technology and science ideas
• Experience in working with large datasets (SQL/NoSQL)