Bachelor’s degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required; Advanced degree is a plus3-5 years of hands-on mathematical modelling experience in business environment
Programming (focus on Machine Learning) in R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued)
Data treatment/Data mining SQL, AWK, Access, Spark, Excel (valued
Advanced knowledge of statistical and machine learning techniques (regression, decision trees, clustering, neural networks, etc.)
Proven experience in working with large datasets and relational databases (SQL)
Distinctive communications skills and ability to communicate analytical and technical content in an easy to understand way
Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
Proven leadership with the ability to inspire others, build strong relationships, and create true followership, result-driven achievers
Strong people skills, team-orientation, and a professional attitude
Experience and interest in RDBMS systems (MySQL, IBM DB2, Oracle Database, etc.), cloud (AWS, Azure, Google Cloud Platform) and big data technologies (e.g. Hadoop, Hive, Impala, Spark, NoSQL DBs) is preferable (reword?)
·Experience in data extraction, transformation, cleaning, and validation
·Experience implementing advanced analytics / data science models into a production environment is a plus
Who You'll Work WithOur Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data in order to unlock the strategic CEO agenda.
role will entail extensive interactions with our global analytics community; partnering with generalist consultants, clients and other colleagues.
What You'll DoYou will be involved in specific engagements involving the building of new and bespoke advanced analytics solutions for clients.
Leveraging your advanced data and analytics skills, you will create innovative approaches to answer our clients’ most relevant questions. You will prepare complex data analyses and models that help solve client problems and deliver significant measurable impact. You will have a strong understanding of the design and development process of data analytics tools and experience working with data engineers and other data scientists