Big Data Scientist / Consultant / Manager
Accenture
Luxembourg, Luxembourg
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Job Description

Excited to join us at Accenture Luxembourg and work with around 200 brightest minds, most capable individuals and technologists?

Are you keen to work closely and learn from global experts, drive innovation hands-on and shape the future together with a diverse team and our clients to improve the way how Luxembourg works and lives?

If you have an almost unlimited energy, huge curiosity, entrepreneurial attitude and love to work in teams, then you need to join us.

Your job

Powered by Analytics and Big data, Accenture Technology is driving exciting changes and bringing them to life. At the forefront with your client, you’ll create, own and make these changes & ideas real for clients in mining & metal, energy & utilities, public services, health, retail & consumer goods, aviation, media, manufacturing, capital markets, insurance, banking, even space, looking to better serve their connected customers and operate always-on enterprises.

Join us and become an integral part of our Technology team with the credibility, expertise and insight clients depend on.

For our Technology practice in Luxembourg, we are currently looking for :

  • Data Scientists
  • Big data consultants
  • Big data managers
  • As data scientist, and together with your team, you will :

  • Solve challenging business problems using advanced statistical methods including AI, ML and quantitative analytics;
  • Understand business requirements and supporting the development of business cases;
  • Run discovery analytics to identify new and innovative opportunities;
  • Partner with developers and engineers to deploy, embed and scale analytics to deliver complex / critical analysis projects;
  • Create reusable assets, solutions and developing best practices for current and future business problems;
  • Lead analytical discussions and influence analytical direction of clients’ teams;
  • Communicate and provide guidance to senior client leadership and teams;
  • Contribute data science expertise to new sales activities;
  • Have fun in all of the above.
  • As big data consultant or manager, you will together with your team :

  • Shape and drive the full lifecycle of a Big Data solutions;
  • Assess the current data capabilities, application landscape, data sources and tools;
  • Define modern data architectures;
  • Realize or lead proof of concepts;
  • Estimate, plan and deliver modern analytics solutions;
  • Provide thought leadership and grow big data skills and capabilities;
  • Have fun in all of the above.
  • Read more of the job description Read Less

    Qualifications

    As data scientist, you have :

  • Relevant work experience in data science, business analytics or business intelligence
  • Practical experience in coding languages e.g. Python, R, Scala, SAS etc.;
  • Strong proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.;
  • Knowledge of statistical modelling techniques e.g. Classification and regression techniques, XGBoost, Neural Networks, Markov chains, etc.;
  • Experience of using Cloud technologies e.g. GCP or Azure or AWS;
  • Specialized visualization techniques e.g. D3.js, ggplot etc.;
  • Strong verbal / written communication & data presentation skills;
  • Ability to lead large projects and drive through to completion.
  • As big data consultant, you have :

  • At least 3 years of deep experience across systems integration, business intelligence, analytics, data management and solution architecture;
  • Good knowledge of big data and analytics market landscape :
  • Proficient knowledge of HADOOP;
  • Proficient knowledge in one or several of the following NOSQL DBs : MongoDB, REDIS, CouchDB, NEO4J, HBASE, CASSANDRA, Datastax, AMAZON DynamoBD, Azure Cosmos DB, Google Cloud Datastore;
  • Proficient knowledge in one or several of the following analytic / BI engines : Tableau, Qlickview , BO, SAS, MicroStrategy, SAC, PowerBI, Splunk, R, Python, Spark, PIG & HIVE, Alteryx;
  • Proficient knowledge in one or several of the following ETLs : Informatica, SSIS, TALEND, SAP BW, CAMEL, KAFKA;
  • Experience with waterfall and agile delivery methodologies;
  • Exposure and experience in reporting to your management at Accenture and at your client.
  • As big data manager, you have :

  • At least 5 years of deep experience across systems integration, business intelligence, analytics, data management and solution architecture
  • Good knowledge of big data and analytics market landscape :
  • Proficient knowledge of HADOOP;
  • Proficient knowledge in one or several of the following NOSQL DBs : MongoDB, REDIS, CouchDB, NEO4J, HBASE, CASSANDRA, Datastax, AMAZON DynamoBD, Azure Cosmos DB, Google Cloud Datastore
  • Proficient knowledge in one or several of the following analytic / BI engines : Tableau, Qlickview , BO, SAS, MicroStrategy, SAC, PowerBI, Splunk, R, Python, Spark, PIG & HIVE, Alteryx
  • Proficient knowledge in one or several of the following ETLs : Informatica, SSIS, TALEND, SAP BW, CAMEL, KAFKA
  • Experience with waterfall and agile delivery methodologies;
  • Exposure and experience in reporting to your senior management at Accenture and at your client.
  • Equal Employment Opportunity Statement

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

    Accenture is committed to providing veteran employment opportunities to our service men and women.

    APPLY NOW Register for Job Alerts " context" : "https : / / schema.org", " type" : "JobPosting", "title" : "Big Data Scientist / Consultant / Manager", "jobLocation" : " type" : "Place", "address" : "addressLocality" : "Luxembourg", "addressRegion" : "unavailable", "addressCountry" : "Luxembourg", "postalCode" : "unavailable", "streetAddress" : "unavailable" , "baseSalary" : " type" : "MonetaryAmount", "value" : "unavailable", "currency" : "unavailable" , "qualifications" : "

    As data scientist, you have :

  • Relevant work experience in data science, business analytics or business intelligence
  • Practical experience in coding languages e.g. Python, R, Scala, SAS etc.;
  • Strong proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.;
  • Knowledge of statistical modelling techniques e.g. Classification and regression techniques, XGBoost, Neural Networks, Markov chains, etc.;
  • Experience of using Cloud technologies e.g. GCP or Azure or AWS;
  • Specialized visualization techniques e.g. D3.js, ggplot etc.;
  • Strong verbal / written communication & data presentation skills;
  • Ability to lead large projects and drive through to completion.
  • As big data consultant, you have :

  • At least 3 years of deep experience across systems integration, business intelligence, analytics, data management and solution architecture;
  • Good knowledge of big data and analytics market landscape :
  • Proficient knowledge of HADOOP;
  • Proficient knowledge in one or several of the following NOSQL DBs :

  • MongoDB, REDIS, CouchDB, NEO4J, HBASE, CASSANDRA, Datastax, AMAZON DynamoBD, Azure Cosmos DB, Google Cloud Datastore;
  • Proficient knowledge in one or several of the following analytic / BI engines :

  • Tableau, Qlickview , BO, SAS, MicroStrategy, SAC, PowerBI, Splunk, R, Python, Spark, PIG & HIVE, Alteryx;
  • Proficient knowledge in one or several of the following ETLs :

  • Informatica, SSIS, TALEND, SAP BW, CAMEL, KAFKA;
  • Experience with waterfall and agile delivery methodologies;
  • Exposure and experience in reporting to your management at Accenture and at your client.
  • As big data manager, you have :

  • At least 5 years of deep experience across systems integration, business intelligence, analytics, data management and solution architecture
  • Good knowledge of big data and analytics market landscape :
  • Proficient knowledge of HADOOP;
  • Proficient knowledge in one or several of the following NOSQL DBs :

    MongoDB, REDIS, CouchDB, NEO4J, HBASE, CASSANDRA, Datastax, AMAZON DynamoBD, Azure Cosmos DB, Google Cloud Datastore

    Proficient knowledge in one or several of the following analytic / BI engines :

    Tableau, Qlickview , BO, SAS, MicroStrategy, SAC, PowerBI, Splunk, R, Python, Spark, PIG & HIVE, Alteryx

    Proficient knowledge in one or several of the following ETLs :

    Informatica, SSIS, TALEND, SAP BW, CAMEL, KAFKA

  • Experience with waterfall and agile delivery methodologies;
  • Exposure and experience in reporting to your senior management at Accenture and at your client.
  • description" : "

    Excited to join us at Accenture Luxembourg and work with around 200 brightest minds, most capable individuals and technologists?

    Are you keen to work closely and learn from global experts, drive innovation hands-on and shape the future together with a diverse team and our clients to improve the way how Luxembourg works and lives?

    If you have an almost unlimited energy, huge curiosity, entrepreneurial attitude and love to work in teams, then you need to join us.

    Your job

    Powered by Analytics and Big data, Accenture Technology is driving exciting changes and bringing them to life. At the forefront with your client, you’ll create, own and make these changes & ideas real for clients in mining & metal, energy & utilities, public services, health, retail & consumer goods, aviation, media, manufacturing, capital markets, insurance, banking, even space, looking to better serve their connected customers and operate always-on enterprises.

    Join us and become an integral part of our Technology team with the credibility, expertise and insight clients depend on.

    For our Technology practice in Luxembourg, we are currently looking for :

  • Data Scientists
  • Big data consultants
  • Big data managers
  • As data scientist, and together with your team, you will :

  • Solve challenging business problems using advanced statistical methods including AI, ML and quantitative analytics;
  • Understand business requirements and supporting the development of business cases;
  • Run discovery analytics to identify new and innovative opportunities;
  • Partner with developers and engineers to deploy, embed and scale analytics to deliver complex / critical analysis projects;
  • Create reusable assets, solutions and developing best practices for current and future business problems;
  • Lead analytical discussions and influence analytical direction of clients’ teams;
  • Communicate and provide guidance to senior client leadership and teams;
  • Contribute data science expertise to new sales activities;
  • Have fun in all of the above.
  • As big data consultant or manager, you will together with your team :

  • Shape and drive the full lifecycle of a Big Data solutions;
  • Assess the current data capabilities, application landscape, data sources and tools;
  • Define modern data architectures;
  • Realize or lead proof of concepts;
  • Estimate, plan and deliver modern analytics solutions;
  • Provide thought leadership and grow big data skills and capabilities;
  • Have fun in all of the above.
  • responsibilities" : "unavailable", "datePosted" : "5 / 31 / 2021 12 : 00 : 00 AM", "validThrough" : "6 / 3 / 2022 5 : 40 : 18 PM", "hiringOrganization" : "Accenture", "employmentType" : "Full time", "skills" : "Software Engineering", "Industry" : "unavailable", "experienceRequirements" : "Associate Manager", "identifier" : " type" : "PropertyValue", "name" : "Accenture", "value" : "r00003978 en" COVID-19 update : The safety and well-being of our candidates, our people and their families continues to be a top priority.

    Until travel restrictions change, interviews will continue to be conducted virtually. Share

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