AI & Data Science Specialist
Posted 5 days ago by SmartSourcing Ltd
£700 Per day
Undetermined
Hybrid
London
Summary: The AI & Data Science Specialist role involves working on a hybrid basis in London, focusing on advanced analytics and machine learning to enhance operational efficiency and support strategic decisions within the railway sector. The position requires the development of innovative analytical models and the use of cutting-edge technologies. The candidate will play a key role in transformative initiatives, leveraging data-driven insights. Essential experience in data science and programming is required for success in this role.
Key Responsibilities:
- Develop innovative analytical models using advanced analytics and machine learning.
- Deliver data-driven insights to improve operational efficiency.
- Inform strategic decisions within the railway sector.
- Utilise cutting-edge technologies in data science initiatives.
Key Skills:
- Data science experience.
- Machine learning expertise.
- Advanced analytics capabilities.
- Predictive modelling skills.
- Strong programming skills in Python or R.
- Experience with data visualisation tools.
- A degree or equivalent qualification in a STEM discipline or related field is desirable.
Salary (Rate): £700/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
(AI & Data Science Specialist – 12mths – hybrid – London)
Our client is seeking an AI & Data Science Specialist to work on a hybrid basis – London approx. 2 x days p/wk.
Advanced analytics and machine learning to deliver data-driven insights that improve operational efficiency and inform strategic decisions. You will be responsible for developing innovative analytical models, utilising cutting-edge technologies, and contributing to transformative initiatives within the railway sector
Essential experience required:
- Data science
- Machine learning
- Advanced analytics
- Predictive modelling
- Strong programming skills in languages such as Python or R, with experience in data visualisation tools.
Desirable
- A degree (or equivalent qualification) in a STEM discipline (Science, Technology, Engineering, Mathematics) or Data Science, Computer Science, or Statistics.