
Research Data Scientist
- Manchester
- Permanent
- Full-time
- Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies, and develop simulation environments to validate ideas and inform commercial decisions.
- Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges.
- Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation.
- Collaboration: Work closely with data engineers, data analysts, and business stakeholders to ensure the effective integration of research insights into product development and business strategy.
- Experimentation & Validation: Design and execute experiments to validate research findings and measure the impact of new solutions.
- Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences.
- Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools.
- Proven experience as a data scientist, with a focus on research and experimentation.
- Strong understanding of statistical modeling, machine learning algorithms, and AI techniques.
- Experience in designing and executing experiments, and validating research findings.
- Proficiency in programming languages such as Python or R, and experience with relevant data science libraries and frameworks.
- Experience working with large datasets and cloud-based data platforms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Passion for innovation and a desire to contribute to cutting-edge research initiatives.