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Remote Research Data Scientist - Machine Learning
- milton keynes, buckinghamshire, MK1, United Kingdom
- Permanent·Remote
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking an experienced Remote Research Data Scientist with a strong focus on Machine Learning to join their innovative team. This fully remote position allows you to contribute to groundbreaking research from anywhere, focusing on developing and implementing advanced AI models. You will be instrumental in analyzing complex datasets, building predictive algorithms, and driving data-driven insights that shape future scientific endeavors. We are looking for a proactive individual who thrives in a virtual collaborative environment and possesses a deep understanding of statistical modeling and computational techniques.
Key Responsibilities
- Design, develop, and deploy sophisticated machine learning models and algorithms.
- Process and analyze large, complex datasets using statistical and computational methods.
- Collaborate remotely with research teams to define project objectives and data requirements.
- Stay abreast of the latest advancements in machine learning and artificial intelligence, applying them to research challenges.
- Communicate complex findings and technical details effectively through written reports and virtual presentations.
Requirements
- Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
- Proven experience (5+ years) in applied machine learning and statistical modeling.
- Strong programming skills in Python or R, including libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data manipulation, feature engineering, and model evaluation techniques.
- Excellent remote collaboration and communication skills, with the ability to work autonomously.
Benefits
- Highly competitive salary and remote work allowance.
- Flexible working hours and the ability to work from home.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and professional development budget.
- Opportunity to work on impactful research projects with a global reach.