Data Scientist - Customer Insights - CS Forecastin...

As a Data Scientist Insights, you will be responsible for supporting the Forecasting team and wider Customer Service function to better understand changes in customer behaviour and what drives these changes. Your output will be used to support the decision making process in order to adapt forecasting and business planning methodologies to better service our customers and partners. Alongside this you will be working with Machine Learning Scientists, developing a deep understanding of the input data to our forecasting pipeline and how changes to this data can influence the output of the forecasting models.

We work on key projects and initiatives to drive efficiency within the CS department. We work closely with teams from across the wider business to understand what impact their work will have on service delivery and work alongside them to mitigate risks. We are looking for a Data Scientist Insights who can support this process by delivering actionable insights into the ever changing landscape of Customer Service through in depth analyses on complex data problems.

B.RESPONSIBLE

• Transform large, complex datasets into pragmatic, actionable insights
• Prioritise impactful business problems, translate them into feasible data problems and solve them effectively by applying suitable statistical data analysis and modeling methods
• Identify, source and organise data required for the solution and prepare it in a way that makes it fit for use
• Identify key stakeholders and manage them proactively through effective communication and addressing their needs
• Use data visualisation skills and storytelling to drive actions from stakeholders Design and interpret quantitative experiments to objectively guide key business decision making
• Have the capacity to thrive in our fast-paced environment, adapt quickly and take ownership of their work
• Challenge ideas and methods while working together with talented, highly skilled team members. Ensure quality of their own and others’ work, by making them reproducible and replicable and by validating through peer review
• Convey complex analysis results clearly and with conviction to all levels of stakeholder

B.SKILLED

• Master degree, PhD, or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)
• Experience solving real problems using data mining techniques and with statistical rigor
• Strong technical skills regarding data analysis, statistics, machine learning and programming.
• Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
• Excellent communication skills
• Strong skills in translating business problems into data problems
• Strong stakeholder management
• Strong data visualisation skills
• Strong skills in storytelling with data
• Strong knowledge of Statistical Methods (e.g. Testing, GLM, Inference),Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Neural networks, Hidden Markov Models, Conditional Random Fields, Mechanism Design and/or Latent Dirichlet Allocation,Regularisation, Bagged/Boosted methods), Time Series, Natural Language Processing etc
• Strong knowledge of data management (engineering, data pipelines, workflows)
• Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

Please apply with your CV and Cover letter on a one page document.