Beschreibung
Main role responsibilities:Lead Advanced Analytics projects that deliver business solutions through data science with a focus on go-to-market and execution – working with different senior stakeholders and team leaders to leverage your expertise
Identify opportunities to leverage huge and varied datasets to find a strategic advantage for our clients
Consult with senior stakeholders to define business problems, and advise on how to apply data to solve those problems
Design and use algorithms and build models needed to automate the generation of insights, identifying meaningful relationships across the massive sea of structured and unstructured data we have access to.
Elevate the role of Advanced Analytics across the business while developing our internal capability
Develop and continuously update a pipeline to enhance our existing tools to build a greater simulation, forecasting and prediction capability, giving our business and our customers confidence that we can improve returns on current execution, asset deployment and activation plans.
Work with wider teams to identify areas of automation, design, execute and implement these changes
Educate leadership on the opportunities associated with applying advanced analytics, data science and AI to the business
Build machine learning and AI algorithms to deploy on a variety of tasks
Interpreting clients' research questions into accurate project specifications detailing project objectives, project deliverables and model parameters (products, retailers, measures, attributes etc.)
Attending client meetings and supporting the CGD commercial consultant during the delivery of the results
Supporting the solutions consultants in the preparation of client presentations and reports via data analysis of model outputs on various IRI analytics solutions
Skills and Experience Required:
Insatiable desire to derive actionable recommendations from data
Solid and demonstrable experience in data manipulation and modelling in Python/R and SQL
Interest in or understanding of marketing strategy, and/or FMCG business/market trends
Self-starter who can demonstrate initiative and take ownership of a new process
Experience in applying statistical models to both back data and creating forward predictive models
Proven track record in building and deploying machine learning and AI algorithms
Ability to look outside of current skillset to learn new languages, tools, techniques and look for industry best practices or models (i.e. linear and non-linear regression)
Understanding of data structures, data storage and infrastructure
Proven track record in delivering time saving automations in business context
Ability to present and visualise data
Ability to work in a fast-paced environment managing multiple projects and stakeholders
Articulate, able to proactively identify and communicate issues, taking ownership for resolution and/or escalating as appropriate
The ability to explain complex code, steps and models to non-statistical audience
Understanding of the technology available to enable data science teams.
Desirable skills and experience:
FMCG/CPG experience
Educated to degree level in Economics, Data science, Statistics, Mathematics or Engineering
Knowledge of APIs, how to use and build
Experience in geo-location mapping / drives times etc
Web Scraping Experience / knowledge
Familiar with techniques such as K-Means, Logistic Regression, Random Forest and Neural Networks
Familiarity with using Loyalty/Customer data to build segmentations
Understanding retail environment
Define the technology infrastructure that will take our data science, advanced analytics and AI capability to the next level
Knowledge of data visualisation platforms such as Power BI, Tableau etc
Understanding of advertising industry and associated data feeds
Knowledge of big data platforms, i.e. AWS, Azure, BigQuery
Natural Language Processing