Lead Data Scientist: Python, Azure, Machine Learning,

Lead Data Scientist: Python, Azure, Machine Learning, Spark

The work location is in Paddington, London (remote working) and is a 6 month contract.

The pay rate on offer is £650 per day.

The role is working for a large multinational retail client.

About the Project:

There are 3 Lead Data Science Positions working on exciting projects that consist of:

Experience of the above domains is highly advantageous for this role

Key skills

Significant experience in landing data science capability, applying the most effective statistical /machine learning models on real world commercial problems and having measured the business benefits
MSc or PhD in a STEM subject e.g. Computer Science, Statistics, Mathematics, etc.
Strong statistical background applied across a number of areas; segmentations, NLP, predictive modelling, recommendation systems. Experience using both simple and complex statistical models such as; regression, clustering, affinity analysis, causal inference models, time series, convolutional neural networks, transformers.
Comprehensive proficiency in key programming and scripting languages (e.g. Python, R, SPARK, SQL, etc) and software development skills.
Expert in mining large & complex data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application
Able to demonstrate innovation in approach and application
Development of collaborative relationships with colleagues across the business
Clear communication skills are essential as the role will require translating data science into actionable insight and influencing at different levels within the business

Key accountabilities and measures

Use expert knowledge of data science techniques and statistics to both lead and regularly deliver complex projects into production, with a robust commercial approach, being mindful that operationalisation is a key success criteria
Implement a highly visual and commercial approach when delivering data science projects that engages and challenges the thinking of non-technical audiences
Build industrialized data science products by promoting correct software development standards and practices
Work with business and technology partners to establish a productive analytical and development environment
Work as a self-starter and hands-on technical expert, take the ownership of shipping code into production, and play a technical role model