Open roleExternal
Senior Data Scientist
- manchester, greater manchester, M1 1AE, United Kingdom
- Permanent·Hybrid
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a talented and analytical Senior Data Scientist to join their innovative team in Manchester . In this role, you will leverage advanced statistical and machine learning techniques to extract actionable insights from large, complex datasets, driving strategic business decisions. You will be instrumental in developing predictive models, designing experiments, and communicating findings to stakeholders across the organization. This is a fantastic opportunity for a data expert who thrives on solving challenging problems and wants to make a tangible impact on business growth through data-driven strategies, working in a collaborative and research-oriented environment.
Key Responsibilities
- Develop, implement, and deploy machine learning models and algorithms to solve business problems.
- Perform in-depth data analysis, identifying trends, patterns, and insights from diverse data sources.
- Design and execute A/B tests and other experiments to validate hypotheses and measure impact.
- Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
- Collaborate with engineering and product teams to integrate data science solutions into production systems.
Requirements
- Master's or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, or Physics.
- 5+ years of experience in data science or a related analytical role.
- Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning algorithms , and data mining techniques.
- Experience with SQL and working with large datasets and databases.
Benefits
- Competitive salary commensurate with experience.
- Comprehensive health, dental, and vision insurance.
- Generous allowance for professional development and conference attendance.
- Hybrid working model offering flexibility.
- Access to state-of-the-art tools and technologies.