Senior Data Scientist - AI Focus

About the Role

Our client is seeking a highly analytical and innovative Senior Data Scientist with a strong focus on AI and Emerging Technologies to join their team in Portsmouth . In this role, you will be instrumental in developing and deploying advanced machine learning models that drive significant business insights and solutions. Working within a hybrid model, you will collaborate closely with cross-functional teams, contributing your expertise to complex data challenges. This position requires a deep understanding of statistical modeling, machine learning algorithms, and the ability to translate complex data findings into actionable business strategies. If you are passionate about leveraging data to solve real-world problems, this is an excellent opportunity.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models and algorithms.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Design and implement A/B tests and other experimental designs to evaluate model performance.
• Collaborate with engineers to integrate data science solutions into production systems.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and AI.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science or machine learning.
• Strong proficiency in Python or R, and experience with libraries such as pandas, scikit-learn, and TensorFlow/PyTorch.
• Experience with SQL and working with large datasets.
• Solid understanding of statistical concepts, hypothesis testing, and experimental design.
• Excellent problem-solving abilities and experience working in a hybrid or collaborative team setting.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Hybrid working model providing a balance of office and remote work.
• Opportunities for professional development, including training and conference attendance.