What’s in it for you?  

As a Data Scientist, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include:

• Extract and manipulate data from a variety of sources and apply the appropriate pre-processing treatments for analysis. 
• Support the selection and configuration of analytical tools and infrastructure appropriate to our clients’ objectives, current and target state analytic maturity.
• Design, develop and implement learning and/or optimisation solutions in areas that might include asset and inventory management, communications, channels and networks, risk and portfolio analysis, supply chain management and marketing effectiveness. 
• Design, develop and implement predictive models for areas such as customer segmentation, market basket analysis, offer propensity, demand planning & forecasting, fraud detection, inventory management and risk exposure.
• Design, develop and implement approaches for productionising model scoring and the closed loop feedback paths required to support back-testing/test-and-learn model validation.
• Apply visual analysis techniques and toolsets to extract patterns and meaning from data in a visual format.   

What we’re looking for  

Here’s our ‘wish list’ but don’t worry if you don’t tick all the boxes. We’re interested in your strengths, what you want to learn, and how far you want to go.   

• Statistical analysis experience
• Algorithm design, implementation and operationalisation experience
• Development of statistical models, such as Bayesian, regression and linear optimisation models (ideally 5+ Years)
• Development of machine learning models, including deep learning and graph applications (ideally 3+ Years)
• Fluency in at least one of the following programming languages R, Python, Scala
• Familiarity with the following data-related technologies Hadoop, Pig, Hive, Impala, SQL, Teradata, Oracle, SAS, MongoDB
• High-level understanding of architecting cloud-based solutions with the following products AWS Redshift/RDS, S3, EC2, Lambda, EMR, SageMaker, DynamoDB, Cloudformation