Data Scientist
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| Job Type | Temporary / Contract |
| Location | Central London (Zone 1) |
| Area | London, England |
| Sector | Data Architect |
| Salary | £600 - £625 per day |
| Start Date | ASAP |
| Advertiser | Danny Whelan |
| Job Ref | 893656 |
| Job Views | 173 |
- Description
- The Client
Our client is an award winning & thriving International Plc based in Central London who require a dynamic Data Scientist to work on a group wide greenfield project. Based in their prestigious HQ this exciting opportunity requires candidates from a Plc/Blue-chip background.
The Role as Data Scientist
The client is seeking to implement a transformational technology driven change programme related to data capture and insight analysis from their new footfall/sales data collection systems across their physical portfolio of assets.
Duties;
- Analyse Data from various internal and external sources including footfall, sales, weather, WiFI, weather, car park systems – which are plugged into the big data storage infrastructure (AWS, Hadoop and SQL Server) and interrogate the data, primarily using Alteryx, and develop insightful reports in Tableau or Power BI.
- Extract full value from the existing data sets to take superior commercial decisions
- Combine data sets together with one another and new data sets (weather, transport/traffic, financial systems, property systems) using our pre-existing data environment and apply advanced analytical techniques to generate new actionable insights.
- Build descriptive and prescriptive models to enable the client to take superior decisions about how we deploy our financial resources on our assets (e.g. further investment, development or disposals)
- Effectively communicate findings, and how these can be used for commercial benefit, to non-technical decisions makers
- Utilise outputs to create compelling story-based presentations and reports for senior management
- Identify data sources to help generate actionable insights for faster decisions
- Support end-users of dashboards to ensure they can self-serve where appropriate
- Seek out feedback, capture requirements and work with the Data & Analytics team to respond to changes requested
- Develop and implemented a forecasting algorithm using Alteryx and R.
- Develop and implemented various operational Tableau dashboards.
The Data Scientist Candidate
The client is seeking somebody who is dynamic, engaging, has strong stakeholder management skills, is self-motivated and can work independently. In addition to excellent communication skills (written/verbal), you must have gravitas and be able to demonstrate the following:
- Masters or Doctorate in Statistic, Computer Science or Mathematic disciplines
- Experienced user of statistical, analytical and visualisation tools, such as Alteryx and Tableau, including creating complex workflows and visualisations from scratch
- Strong academic understanding and practical application of a range of statistical/machine learning techniques, including supervised and unsupervised techniques, such as Regression (e.g. linear, logistic), Factor analysis, Cluster analysis (e.g. K-means), Decision trees (e.g. Gradient-boosted, Random Forest) and Bayesian Probability.
- Clear understanding of when to use different techniques, pros and cons of each, how they work (statistically and computationally), and common pitfalls to avoid. This knowledge will be based on both academic foundations and first-hand experience.
- Able to code more complex analysis using plug-ins in languages such as SQL, Python and R
- Experience in geo-spatial analytics
- Used to working in both waterfall and agile environments
- Experience in creating and applying both descriptive and predictive models in a corporate environment with clear commercial benefits/outcomes
