Remote Principal Data Scientist - Machine Learning
- edinburgh, scotland, EH6 5QQ, United Kingdom
- Permanent·Remote
- Full time
- £110,000 - £110,000 Per Annum
Job Description
About the Role
Our client is looking for a visionary Principal Data Scientist to lead their machine learning initiatives, operating entirely remotely . This senior role will involve developing and deploying advanced ML models to solve complex business challenges, drive data-driven innovation, and extract actionable insights from vast datasets. You will be at the forefront of AI research and application within the organization, mentoring junior scientists and collaborating with engineering and product teams to integrate ML solutions into core products. This is a unique chance to make a profound impact on strategic decision-making and product development through sophisticated data science.
Key Responsibilities
- Design, develop, and implement state-of-the-art machine learning models and algorithms to address key business objectives.
- Lead end-to-end data science projects, from data exploration and feature engineering to model validation and deployment.
- Mentor and guide junior data scientists, fostering a culture of knowledge sharing and technical excellence.
- Collaborate closely with product managers and software engineers to integrate ML models into production systems and applications.
- Stay abreast of the latest advancements in ML, AI, and data science, and advocate for their adoption where appropriate.
- Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
Requirements
- 8+ years of experience in data science and machine learning, with a proven track record of delivering impactful ML solutions.
- Expertise in ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and statistical modeling.
- Strong programming skills in Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy).
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Benefits
- Exceptional salary and a generous performance bonus structure.
- Fully remote work opportunity, offering global flexibility.
- Comprehensive health, dental, and vision benefits.
- Significant budget for professional development, conferences, and research.
- Opportunity to work on cutting-edge AI and ML problems with real-world impact.


