Lead Data Scientist - Machine Learning

About the Role

Our client is seeking an accomplished Lead Data Scientist with expertise in Machine Learning to join their advanced analytics team in Oxford . This hybrid role involves leading projects that leverage data to drive business insights, develop predictive models, and implement cutting-edge ML solutions. You will mentor a team of data scientists, collaborate with stakeholders across the business, and play a critical role in shaping the company's data-driven strategy. This is an exceptional opportunity for a visionary leader in the field of data science.

Key Responsibilities

• Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems.
• Mentor and guide a team of data scientists, fostering a collaborative and innovative environment.
• Collaborate with business stakeholders to identify opportunities for data-driven solutions and translate business needs into data science projects.
• Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high performance and accuracy.
• Stay abreast of the latest advancements in machine learning and data science, and champion their adoption.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Ensure the ethical and responsible use of data and AI models.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science, with a significant focus on machine learning and statistical modeling.
• Proven experience leading data science projects and mentoring team members.
• Expertise in programming languages such as Python or R , and proficiency with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical concepts, predictive modeling, and various machine learning techniques (supervised, unsupervised, deep learning).
• Experience with big data technologies and cloud platforms (AWS, Azure, GCP).
• Excellent communication, presentation, and interpersonal skills.

Benefits

• Highly competitive salary and significant bonus potential.
• Comprehensive executive health, dental, and vision coverage.
• Generous retirement plan and stock options.
• Hybrid work model offering a blend of office and remote flexibility.
• Access to leading-edge research, development tools, and opportunities for publication.