Data Scientist - Machine Learning Focus
- bradford, west yorkshire, BD1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £65,000 - £65,000 Per Annum
Job Description
About the Role
Our client is searching for a talented Data Scientist with a strong focus on machine learning to join their dynamic team, operating remotely. This role is key to uncovering insights from complex data, building predictive models, and driving data-informed decisions across the business. You will leverage advanced statistical techniques and machine learning algorithms to solve challenging problems and create tangible value. This is an excellent opportunity for a proactive data scientist to work on diverse projects in a flexible, fully remote setting.
Key Responsibilities
- Develop and implement machine learning models for prediction, classification, and clustering.
- Explore and analyze large datasets to identify trends, patterns, and actionable insights.
- Design and conduct A/B tests and other experiments to validate model performance and business impact.
- Collaborate with product and engineering teams to integrate data science solutions into products and services.
- Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
- Contribute to the development of data science best practices and methodologies.
Requirements
- Master's or PhD in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 3+ years of experience as a Data Scientist or in a similar analytical role.
- Proficiency in Python or R, including relevant data science and ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow).
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with SQL and working with relational databases.
- Excellent problem-solving skills and the ability to work effectively in a remote environment.
Benefits
- Competitive salary and performance-related incentives.
- Comprehensive health, dental, and vision insurance.
- Generous remote work allowance and home office support.
- Professional development budget for courses and conferences.
- A collaborative and innovative company culture.


