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Data Analytics with R Python. Banking, Brussels
Eingestellt von Computer Recruitment Services
Gesuchte Skills: Python, Toolkit, Sql, Network
Projektbeschreibung
NK225:
YOU MUST HAVE THE FOLLOWING CRITERIA TO BE CONSIDERED FOR THIS ROLE: R, Python Spark, Hadoop, Visualization softwares (eg. Shiny)
Background
Your core objectives as a data scientist in the Advanced Analytics team will be to create innovative solutions that rely on data science and experiment new technologies to bring value to the bank as a data-driven company.
In order to reach these objectives, you will:
Manipulate structured and unstructured data sources and conduct data analysis using advanced analytics techniques to produce valuable and actionable output within the amount of time dedicated to the use case
Deliver the insights through enhanced data visualization applications
Actively contribute to the evolution of the bank's analytics platform (ie. softwares, libraries, techniques)
Contribute to maturing new ideas (products, components) whether as proofs of concept or as actual developments that are meant to become part of our production toolkit.
YOUR PROFILE:
You have a proven track record of successful hands-on experiences in the area of advanced analytics. Education in data science without practical hands-on experience will not be accepted.
You are proficient in R, Python and Spark. Knowledge of Scala is a plus.
You are proficient in relational database querying (SQL) or in data collection and transformation (ETL)
You master analytical techniques such as machine learning, text mining, network analytics, process mining,
You are at ease with visualization tools like Shiny
You have experience with command line tools (UNIX) and version control tools like GIT
You know the Hadoop ecosystem (knowledge of the Cloudera distribution will be a plus)
You have strong verbal and written communication skills as well as good customer relationship skills to present the results of a use case to different audiences (from end users up to division management)
You have experience implementing advanced analytics solutions into a well-controlled production environment
You are able to learn quickly, adjust to changes and think outside the box
You are self-motivated and confident with a positive attitude,
You have excellent time management and organizational skills with attention to details
You have a past experience in agile development methodologies (SCRUM, RAD) whilst ensuring that the deliverables contribute to the final product
You stay abreast of new tools and technologies to practice up-to-date data analytic strategies
Your qualifications are the following:
Master's degree in statistics, applied mathematics, or a related quantitative field, combined with strong IT skills
3+ years of experience in advanced data analytics
3+ years of experience with open source statistical programming languages (eg. R, Python)
You must be an EU national to apply for this role.
Reference:NK225
Location: Brussels
Rate:500-525 euros per day
Duration: 3 months extendable
Language: English
YOU MUST HAVE THE FOLLOWING CRITERIA TO BE CONSIDERED FOR THIS ROLE: R, Python Spark, Hadoop, Visualization softwares (eg. Shiny)
Background
Your core objectives as a data scientist in the Advanced Analytics team will be to create innovative solutions that rely on data science and experiment new technologies to bring value to the bank as a data-driven company.
In order to reach these objectives, you will:
Manipulate structured and unstructured data sources and conduct data analysis using advanced analytics techniques to produce valuable and actionable output within the amount of time dedicated to the use case
Deliver the insights through enhanced data visualization applications
Actively contribute to the evolution of the bank's analytics platform (ie. softwares, libraries, techniques)
Contribute to maturing new ideas (products, components) whether as proofs of concept or as actual developments that are meant to become part of our production toolkit.
YOUR PROFILE:
You have a proven track record of successful hands-on experiences in the area of advanced analytics. Education in data science without practical hands-on experience will not be accepted.
You are proficient in R, Python and Spark. Knowledge of Scala is a plus.
You are proficient in relational database querying (SQL) or in data collection and transformation (ETL)
You master analytical techniques such as machine learning, text mining, network analytics, process mining,
You are at ease with visualization tools like Shiny
You have experience with command line tools (UNIX) and version control tools like GIT
You know the Hadoop ecosystem (knowledge of the Cloudera distribution will be a plus)
You have strong verbal and written communication skills as well as good customer relationship skills to present the results of a use case to different audiences (from end users up to division management)
You have experience implementing advanced analytics solutions into a well-controlled production environment
You are able to learn quickly, adjust to changes and think outside the box
You are self-motivated and confident with a positive attitude,
You have excellent time management and organizational skills with attention to details
You have a past experience in agile development methodologies (SCRUM, RAD) whilst ensuring that the deliverables contribute to the final product
You stay abreast of new tools and technologies to practice up-to-date data analytic strategies
Your qualifications are the following:
Master's degree in statistics, applied mathematics, or a related quantitative field, combined with strong IT skills
3+ years of experience in advanced data analytics
3+ years of experience with open source statistical programming languages (eg. R, Python)
You must be an EU national to apply for this role.
Reference:NK225
Location: Brussels
Rate:500-525 euros per day
Duration: 3 months extendable
Language: English
Projektdetails
Geforderte Qualifikationen
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Kategorie:
IT Entwicklung