Senior Data Scientist - AI/ML

About the Role

Our client is building a world-class, remote-first team and is seeking a highly skilled Senior Data Scientist specializing in AI/ML to join them from anywhere in the UK. In this role, you will be instrumental in developing and deploying sophisticated machine learning models to solve complex business challenges, driving innovation and strategic decision-making. You will work autonomously, collaborate with remote colleagues across various departments, and contribute to the cutting edge of artificial intelligence. This is an unparalleled opportunity to shape the future of data science within a forward-thinking organization that embraces remote work and fosters continuous learning and growth from the comfort of your home office, wherever that may be.

Key Responsibilities

• Design, develop, and implement advanced machine learning models and algorithms to address business needs.
• Clean, preprocess, and analyze large, complex datasets to extract actionable insights.
• Deploy ML models into production environments, monitoring their performance and iterating for improvement.
• Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliver data-driven solutions.
• Conduct exploratory data analysis and present findings and recommendations to technical and non-technical audiences.
• Stay current with the latest advancements in AI/ML and explore their applicability to business challenges.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science with a strong focus on AI/ML model development.
• Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and evaluation metrics.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Excellent communication and collaboration skills, comfortable working in a fully remote setting .

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work arrangement, offering maximum flexibility.
• Generous stock options and equity grants.
• Comprehensive health, dental, and vision insurance.
• Significant budget for professional development, conferences, and online courses.