Data Scientist
- leeds, west yorkshire, LS1 1UR, United Kingdom
- Permanent·Remote
- Full time
- £65,000 - £65,000 Per Annum
Job Description
About the Role
Our client is seeking a talented and analytical Data Scientist to join their growing data team in Leeds . You will be responsible for extracting actionable insights from complex datasets, developing predictive models, and contributing to data-driven decision-making across the organization. This role offers the exciting opportunity to work on challenging projects, leverage advanced analytical techniques, and collaborate with cross-functional teams to solve business problems. We are looking for a proactive individual with a passion for uncovering patterns and driving innovation through data, and this position is fully remote.
Key Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
- Develop, test, and deploy machine learning models and statistical algorithms to solve business challenges.
- Collaborate with engineering teams to integrate data science solutions into production systems.
- Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
- Design and conduct experiments to measure the impact of new features or strategies.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
Requirements
- Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, or Mathematics.
- Proven experience in applying data science techniques to real-world problems.
- Strong proficiency in programming languages like Python or R, and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow).
- Experience with SQL and data manipulation tools.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
Benefits
- Competitive salary and performance-related bonuses.
- Generous remote work stipend and home office setup allowance.
- Comprehensive private medical insurance.
- Significant opportunities for professional development and attending conferences.
- A highly collaborative and intellectually stimulating remote work environment.


