About the Company
RENISHAW PLC is a global engineering technologies company, applying its expertise in measurement, motion control, healthcare, and spectroscopy to a broad range of industries. With innovation at our core, we’re committed to developing world-leading products and solutions that push the boundaries of precision and performance. Join a team dedicated to excellence and making a tangible impact on the future of technology.
Job Description
We are seeking a highly motivated and analytical Data Scientist to join our advanced analytics team in Cheltenham. This role offers an exciting opportunity to leverage your expertise in statistical analysis, machine learning, and programming to extract actionable insights from complex datasets. You will play a crucial role in developing predictive models, optimizing processes, and supporting data-driven decision-making across various departments. If you are passionate about transforming data into strategic advantages and thrive in a collaborative environment, we encourage you to apply.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Perform extensive data cleaning, processing, and validation to ensure data quality and integrity.
- Conduct exploratory data analysis to discover trends, patterns, and insights.
- Collaborate with engineers, product managers, and business stakeholders to define project requirements and deliver data solutions.
- Develop and maintain robust data pipelines and automated reporting systems.
- Communicate complex analytical findings and recommendations clearly to technical and non-technical audiences.
- Stay abreast of the latest developments in data science and machine learning technologies.
Required Skills
- Proficiency in Python or R for data analysis and modeling.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with SQL for data extraction and manipulation.
- Ability to work with large, complex datasets from various sources.
- Excellent problem-solving skills and a strong analytical mindset.
- Strong communication and presentation skills.
Preferred Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of MLOps practices and deployment of machine learning models into production.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and dental insurance.
- Generous pension scheme.
- Flexible working arrangements.
- 25 days annual leave plus bank holidays.
- Professional development and training opportunities.
- Employee assistance program.
- On-site gym and wellness facilities.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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