Data Scientist

Position Summary

We are looking for an experienced Data Scientist with deep expertise in machine learning, statistical modeling, and experimentation to join our innovative AI & Data Science team. The ideal candidate combines strong machine learning and statistical expertise with business acumen, translating complex data into actionable insights that drive strategic decisions.

Key Responsibilities

• Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
• Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
• Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
• Build end-to-end analytical pipelines, from data extraction and feature engineering through to insight delivery and stakeholder presentation.
• Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
• Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
  
  

• Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
• Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
  
  

• Education: Bachelors or above in Mathematics, Computer Science, Data Science, or a related quantitative field.
• Experience: At least 4+ years in Data Science or Analytics roles with a demonstrable track record of business impact.
• Technical Skills:
• Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
• Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
• Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
• Highly proficient in SQL
• Experience with experimental design, hypothesis testing, and A/B testing for data-driven product and business decisions.
• Good working knowledge of cloud platforms like AWS, GCP, or Azure.
• Soft Skills:
• Strong storytelling ability — translating complex findings into clear narratives for non-technical audiences.
• Effective communication and collaboration skills, particularly in cross-functional environments.
• Strategic mindset with the ability to translate business goals into data-driven initiatives.
  

• Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
• Collaborate with top talent across diverse teams and disciplines.
• Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.