Description
Data Scientist
Contract
£500 - £600 per day (will be in scope of IR35 from April)
London/Remote
Leading Financial Services business have a requirement to expand their Customer Data Science function and need 2-3 Data Scientists to join on initial 6 month contracts.
The role will support existing Data Science team across multiple customer data driven projects focusing on propensity modelling, machine learning and productionisation.
Role:
- The creation and delivery of extraordinary customer-first data science driven through to action - work that delivers significant, measurable customer and commercial benefit
- Collaborating with colleagues to identify and solve the real business problems.
- Identifying new and existing data sources and data science techniques to generate best-in-class models, insights and understanding.
- Crafting high-impact insights, models and recommendations.
- Creating and sharing knowledge, developing team capability and collaboration.
- Developing innovative approaches and solutions to problems.
Experience:
- Experience within similar Data Science role for consumer/customer focussed/Financial Services organisation
- Be educated to degree level in a mathematical- or programming-oriented subject, (Computer Science, Applied science etc), or able to demonstrate equivalent knowledge and experience. Post-graduate qualification a plus but not essential.
- Highly numerate with expertise in statistics, machine learning, analytics or similar.
- Enjoy communicating and collaborating with others to deliver brilliant, high-impact work.
- Able to communicate complex technical concepts to specialist/non-specialist audiences.
- Expertise (essential) with one or more of Python, R or SQL (Python would be ideal)
- Have experience of digital and big datasets (eg clickstream, Adobe Marketing Cloud)
- Working knowledge of Git-based code version control,
- Experience of building data pipelines with Spark
- Experience of productionising Machine Learning models at scale
Contact David Southwood - Sanderson Recruitment