Data Scientist
- cardiff, wales, CF10 1DA, United Kingdom
- Permanent·On-site
- Full time
- £60,000 - £60,000 Per Annum
Job Description
About the Role
Our client, a progressive analytics company located in the heart of Cardiff , is looking for a talented and driven Data Scientist . You will leverage vast datasets to uncover insights, build predictive models, and develop data-driven strategies that solve complex business challenges. This role involves working closely with business stakeholders to understand their needs and translate them into analytical solutions. You will be part of a forward-thinking team that values innovation, curiosity, and the ethical application of data science principles to achieve significant business impact.
Key Responsibilities
- Design, develop, and deploy machine learning models to address business problems.
- Perform complex data analysis, statistical modeling, and hypothesis testing.
- Extract, clean, and transform large datasets from various sources using SQL and other tools.
- Communicate findings and insights effectively to both technical and non-technical audiences.
- Collaborate with engineering teams to integrate models into production systems.
- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
Requirements
- Master's or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, or Economics.
- Proven experience as a Data Scientist or similar analytical role.
- Strong proficiency in Python or R for data analysis and machine learning.
- Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with SQL and working with large datasets.
- Excellent communication and presentation skills.
Benefits
- Attractive starting salary with regular performance reviews.
- Company-provided laptop and access to high-performance computing resources.
- Generous holiday allowance and company pension scheme.
- On-site amenities including a modern office space and collaborative work areas.
- Opportunities for attending industry conferences and continuous professional development.


