Senior Data Scientist - Machine Learning
- sunderland, tyne and wear, SR1 2TP, United Kingdom
- Permanent·Remote
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled and results-oriented Senior Data Scientist specializing in Machine Learning to join their innovative team, operating entirely on a remote basis. This role is instrumental in developing and deploying sophisticated ML models that drive business intelligence and product innovation. You will tackle complex data challenges, architecting end-to-end ML solutions from data acquisition to model deployment and monitoring. This is an exceptional opportunity for an experienced ML practitioner to make a significant impact on critical business decisions and product roadmaps, working autonomously within a forward-thinking, distributed organization.
Key Responsibilities
- Design, develop, and implement advanced machine learning models and algorithms to solve complex business problems.
- Process, clean, and transform large, diverse datasets to prepare them for model training.
- Evaluate model performance, conduct A/B testing, and iterate on models to optimize accuracy and efficiency.
- Collaborate with engineering and product teams to integrate ML models into production systems and workflows.
- Stay current with the latest advancements in machine learning, artificial intelligence, and data science research.
- Communicate insights and model results clearly and concisely to stakeholders across the organization.
Requirements
- Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, with a strong emphasis on machine learning .
- Expertise in Python or R, including libraries like TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
- Proven experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Strong understanding of statistical modeling, experimental design, and MLOps principles.
- Excellent problem-solving abilities and experience working effectively in a remote setting.
Benefits
- Highly competitive salary and bonus package.
- Fully remote work arrangement offering unparalleled flexibility.
- Comprehensive health, dental, and vision insurance coverage.
- Generous allowance for professional development and home office equipment.
- A collaborative and innovative culture focused on leveraging data to drive impact.


