Data Scientist for Nets´ Analytical Factory (Copenhagen, Helsinki or Stkholm)

Are you interested in the FinTech space? Do you see the power in data to transform business with actionable insights?... 
And are you burning to leverage state-of-the-art data technology to develop new products and services, fuelled by large quantities of data coming from an international context?

We are seeking a technically savvy data scientist with a strong nose for data and plenty of hands-on experience in organizing, blending, analysing and presenting data. You have worked with open-source data technologies, you are curious, innovative and take pleasure in picking up new modelling techniques and tools, to enable our businesses to identify opportunities of data driven value add.

As a Data Scientist at the Nets Analytical Factory, you will be exposed to complex intellectual challenges, coupled with real commercial applications across the whole spectre of our various business lines. You will be responsible for the full development lifecycle, from early proof-of-concepts, over integrating data extraction processes into streamlined pipelines, to developing and deploying models in production environments for further operational refinement. You will work in an agile setup, within CI/CD frameworks, and you will be exposed to latest advances within multi-tenant cluster technology, including our new GPU setup.

The payment industry is undergoing a lot of change and we are looking for the right candidate, to be part of the data journey at Nets, under the newly established Chief Data Office at Nets Group.
Nets Group handles payment solutions, information services and digital security, with one of Europe’s most comprehensive and innovative product portfolios. 

 

The Analytical Factory team is a Nordic team with head of the department based in Copenhagen. The role is a full-time position and you can be located either in our Copenhagen, Stockholm or Helsinki office.
Key responsibilities and tasks

  • Conduct data analysis and prepare presentations and decision supporting analysis for business
  • Work with stakeholders across the organization to identify opportunities for insights driven solutions
  • Integrate domain business knowledge with advanced analytics techniques, including machine learning and artificial intelligence
  • Use, combine and develop state-of-the art mining methods
  • Select features, build and optimize predictors
  • Perform segment and cohort behaviour analysis
  • Develop testing frameworks for advanced analytics methods
  • Collaborate with functional teams to implement models in test and production environments
  • Drive best practice, standards and processes to support Nets data strategy and roadmap

We’d Love It If You Can Tick Off All Of The Below

  • Master’s degree or PhD in data-intensive field like Statistics, Engineering, Computer Science, Economics, Physics, Social Sciences or similar
  • Relevant courses on applied mathematics, statistical modelling, algorithms, AI, ML, econometrics
  • Minimum 5 years of experience with data science in production environments
  • Minimum 3 years of experience with Big Data frameworks like Hadoop, HDFS, YARN, Spark, Hive, etc.
  • Strong programming skills in at least one of the following languages: Java, Scala, Python, R
  • Mastery of ML algorithm classes for supervised, unsupervised, reinforcement learning: linear regression, PCA, SVM, trees ensembles, clustering, neural networks
  • Deep understanding and experience with ML algorithms to assess, combine and optimise towards best fit cases
  • Experience with ML libraries: sklearn, nltk, GloVe, spacy, sparkml, keras, TensorFlow, Spark pipeline
  • Experience with SQL and NoSQL databases, visualization techniques and tools
  • Experience with scalable systems and performance tuning
  • Experience with distributed databases and key issues affecting performance and reliability
  • Experience with data mgmt., ETL, data quality, metadata management, data loads, data profiling
  • Mastery of continuous integration and automatic testing tools

We are excited about people who are

  • Team players above all, but also able and willing to work independently
  • Curious by nature and tireless in exploring analysis options, leading to actionable decision proposals
  • Proactive, results-oriented and structured in your approach
  • Excited and energetic and actively engaging with colleagues on all levels of the organization
  • Able to joggle many tasks of different complexity, duration and urgency
  • Madly in love with making things happen, persistent, focused, analytical and responsible
  • Fluency in English, both verbal and written

Nets can offer

  • We’ll offer you a dynamic and exciting professional environment with great opportunities for professional and personal development
  • Competitive salary, pension and insurance schemes
  • The opportunity to be part of a company recognised by growth, innovation and development
  • A thriving environment characterised by team play and informality
  • A variety of activities within sports, culture and the social arena

Apply today
We want you to be on board as soon as possible, but we'll wait for the right candidate.

Please apply as soon as possible, we'll review applications throughout the process.


If you have any questions about the team or this exciting opportunity, please contact Director, Head of Analytics Factory Claus Aagaard Pedersen - caped@nets.eu

 

At Nets, we specialise in powering digital payments. We connect banks, businesses and consumers via an international network facilitating digital payments. Spanning across the Nordic region, we provide a broad range of card services, account payment services and merchant payment solutions. We offer great payments, great ideas, great network - delivered by great people. 

About 2,500 dedicated colleagues work at Nets throughout the Nordic region. As the backbone of the Nordic payments ecosystem with solutions touching people's everyday lives, we have experts in every field from law to heavy back-end programming. Our size and diversity opens up great opportunities for our employees to move forward in their careers and their skills and professional interest develop. 

We believe that personal freedom is the key to a dynamic and innovative working environment. We therefore inspire people to think and act independently and creatively. Along with the individual freedom comes a strong tradition of teamwork. Working closely together across professions and borders is an essential part of our culture and a natural part of our complex services. 

Read more at www.nets.eu.


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330007943Phoenix-cbe827e912019-05-09T00:00:00Data Scientist for Nets´ Analytical Factory (Copenhagen, Helsinki or Stkholm)

Are you interested in the FinTech space? Do you see the power in data to transform business with actionable insights?... 
And are you burning to leverage state-of-the-art data technology to develop new products and services, fuelled by large quantities of data coming from an international context?

We are seeking a technically savvy data scientist with a strong nose for data and plenty of hands-on experience in organizing, blending, analysing and presenting data. You have worked with open-source data technologies, you are curious, innovative and take pleasure in picking up new modelling techniques and tools, to enable our businesses to identify opportunities of data driven value add.

As a Data Scientist at the Nets Analytical Factory, you will be exposed to complex intellectual challenges, coupled with real commercial applications across the whole spectre of our various business lines. You will be responsible for the full development lifecycle, from early proof-of-concepts, over integrating data extraction processes into streamlined pipelines, to developing and deploying models in production environments for further operational refinement. You will work in an agile setup, within CI/CD frameworks, and you will be exposed to latest advances within multi-tenant cluster technology, including our new GPU setup.

The payment industry is undergoing a lot of change and we are looking for the right candidate, to be part of the data journey at Nets, under the newly established Chief Data Office at Nets Group.
Nets Group handles payment solutions, information services and digital security, with one of Europe’s most comprehensive and innovative product portfolios. 

 

The Analytical Factory team is a Nordic team with head of the department based in Copenhagen. The role is a full-time position and you can be located either in our Copenhagen, Stockholm or Helsinki office.
Key responsibilities and tasks

  • Conduct data analysis and prepare presentations and decision supporting analysis for business
  • Work with stakeholders across the organization to identify opportunities for insights driven solutions
  • Integrate domain business knowledge with advanced analytics techniques, including machine learning and artificial intelligence
  • Use, combine and develop state-of-the art mining methods
  • Select features, build and optimize predictors
  • Perform segment and cohort behaviour analysis
  • Develop testing frameworks for advanced analytics methods
  • Collaborate with functional teams to implement models in test and production environments
  • Drive best practice, standards and processes to support Nets data strategy and roadmap

We’d Love It If You Can Tick Off All Of The Below

  • Master’s degree or PhD in data-intensive field like Statistics, Engineering, Computer Science, Economics, Physics, Social Sciences or similar
  • Relevant courses on applied mathematics, statistical modelling, algorithms, AI, ML, econometrics
  • Minimum 5 years of experience with data science in production environments
  • Minimum 3 years of experience with Big Data frameworks like Hadoop, HDFS, YARN, Spark, Hive, etc.
  • Strong programming skills in at least one of the following languages: Java, Scala, Python, R
  • Mastery of ML algorithm classes for supervised, unsupervised, reinforcement learning: linear regression, PCA, SVM, trees ensembles, clustering, neural networks
  • Deep understanding and experience with ML algorithms to assess, combine and optimise towards best fit cases
  • Experience with ML libraries: sklearn, nltk, GloVe, spacy, sparkml, keras, TensorFlow, Spark pipeline
  • Experience with SQL and NoSQL databases, visualization techniques and tools
  • Experience with scalable systems and performance tuning
  • Experience with distributed databases and key issues affecting performance and reliability
  • Experience with data mgmt., ETL, data quality, metadata management, data loads, data profiling
  • Mastery of continuous integration and automatic testing tools

We are excited about people who are

  • Team players above all, but also able and willing to work independently
  • Curious by nature and tireless in exploring analysis options, leading to actionable decision proposals
  • Proactive, results-oriented and structured in your approach
  • Excited and energetic and actively engaging with colleagues on all levels of the organization
  • Able to joggle many tasks of different complexity, duration and urgency
  • Madly in love with making things happen, persistent, focused, analytical and responsible
  • Fluency in English, both verbal and written

Nets can offer

  • We’ll offer you a dynamic and exciting professional environment with great opportunities for professional and personal development
  • Competitive salary, pension and insurance schemes
  • The opportunity to be part of a company recognised by growth, innovation and development
  • A thriving environment characterised by team play and informality
  • A variety of activities within sports, culture and the social arena

Apply today
We want you to be on board as soon as possible, but we'll wait for the right candidate.

Please apply as soon as possible, we'll review applications throughout the process.


If you have any questions about the team or this exciting opportunity, please contact Director, Head of Analytics Factory Claus Aagaard Pedersen - caped@nets.eu

 

At Nets, we specialise in powering digital payments. We connect banks, businesses and consumers via an international network facilitating digital payments. Spanning across the Nordic region, we provide a broad range of card services, account payment services and merchant payment solutions. We offer great payments, great ideas, great network - delivered by great people. 

About 2,500 dedicated colleagues work at Nets throughout the Nordic region. As the backbone of the Nordic payments ecosystem with solutions touching people's everyday lives, we have experts in every field from law to heavy back-end programming. Our size and diversity opens up great opportunities for our employees to move forward in their careers and their skills and professional interest develop. 

We believe that personal freedom is the key to a dynamic and innovative working environment. We therefore inspire people to think and act independently and creatively. Along with the individual freedom comes a strong tradition of teamwork. Working closely together across professions and borders is an essential part of our culture and a natural part of our complex services. 

Read more at www.nets.eu.

Are you interested in the FinTech space? Do you see the power in data to transform business with actionable insights?... And are you burning to leverage state-of-the-art data technology to develop new products and services, fuelled by large quantities of data coming from an international context? We are seeking a technically savvy data scientist with a strong nose for data and plenty of hands-on experience in organizing, blending, analysing and presenting data. You have worked with open-source data technologies, you are curious, innovative and take pleasure in picking up new modelling techniques and tools, to enable our businesses to identify opportunities of data driven value add. As a Data Scientist at the Nets Analytical Factory, you will be exposed to complex intellectual challenges, coupled with real commercial applications across the whole spectre of our various business lines. You will be responsible for the full development lifecycle, from early proof-of-concepts, over integrating data extraction processes into streamlined pipelines, to developing and deploying models in production environments for further operational refinement. You will work in an agile setup, within CI CD frameworks, and you will be exposed to latest advances within multi-tenant cluster technology, including our new GPU setup. The payment industry is undergoing a lot of change and we are looking for the right candidate, to be part of the data journey at Nets, under the newly established Chief Data Office at Nets Group. Nets Group handles payment solutions, information services and digital security, with one of Europe s most comprehensive and innovative product portfolios. The Analytical Factory team is a Nordic team with head of the department based in Copenhagen. The role is a full-time position and you can be located either in our Copenhagen, Stockholm or Helsinki office. Key responsibilities and tasks Conduct data analysis and prepare presentations and decision supporting analysis for business Work with stakeholders across the organization to identify opportunities for insights driven solutions Integrate domain business knowledge with advanced analytics techniques, including machine learning and artificial intelligence Use, combine and develop state-of-the art mining methods Select features, build and optimize predictors Perform segment and cohort behaviour analysis Develop testing frameworks for advanced analytics methods Collaborate with functional teams to implement models in test and production environments Drive best practice, standards and processes to support Nets data strategy and roadmap We d Love It If You Can Tick Off All Of The Below Master s degree or PhD in data-intensive field like Statistics, Engineering, Computer Science, Economics, Physics, Social Sciences or similar Relevant courses on applied mathematics, statistical modelling, algorithms, AI, ML, econometrics Minimum 5 years of experience with data science in production environments Minimum 3 years of experience with Big Data frameworks like Hadoop, HDFS, YARN, Spark, Hive, etc. Strong programming skills in at least one of the following languages: Java, Scala, Python, R Mastery of ML algorithm classes for supervised, unsupervised, reinforcement learning: linear regression, PCA, SVM, trees ensembles, clustering, neural networks Deep understanding and experience with ML algorithms to assess, combine and optimise towards best fit cases Experience with ML libraries: sklearn, nltk, GloVe, spacy, sparkml, keras, TensorFlow, Spark pipeline Experience with SQL and NoSQL databases, visualization techniques and tools Experience with scalable systems and performance tuning Experience with distributed databases and key issues affecting performance and reliability Experience with data mgmt., ETL, data quality, metadata management, data loads, data profiling Mastery of continuous integration and automatic testing tools We are excited about people who are Team players above all, but also able and willing to work independently Curious by nature and tireless in exploring analysis options, leading to actionable decision proposals Proactive, results-oriented and structured in your approach Excited and energetic and actively engaging with colleagues on all levels of the organization Able to joggle many tasks of different complexity, duration and urgency Madly in love with making things happen, persistent, focused, analytical and responsible Fluency in English, both verbal and written Nets can offer We ll offer you a dynamic and exciting professional environment with great opportunities for professional and personal development Competitive salary, pension and insurance schemes The opportunity to be part of a company recognised by growth, innovation and development A thriving environment characterised by team play and informality A variety of activities within sports, culture and the social arena Apply today We want you to be on board as soon as possible, but we ll wait for the right candidate. Please apply as soon as possible, we ll review applications throughout the process. If you have any questions about the team or this exciting opportunity, please contact Director, Head of Analytics Factory Claus Aagaard Pedersen - caped@nets.eu At Nets, we specialise in powering digital payments. We connect banks, businesses and consumers via an international network facilitating digital payments. Spanning across the Nordic region, we provide a broad range of card services, account payment services and merchant payment solutions. We offer great payments, great ideas, great network - delivered by great people. About 2,500 dedicated colleagues work at Nets throughout the Nordic region. As the backbone of the Nordic payments ecosystem with solutions touching people s everyday lives, we have experts in every field from law to heavy back-end programming. Our size and diversity opens up great opportunities for our employees to move forward in their careers and their skills and professional interest develop. We believe that personal freedom is the key to a dynamic and innovative working environment. We therefore inspire people to think and act independently and creatively. Along with the individual freedom comes a strong tradition of teamwork. Working closely together across professions and borders is an essential part of our culture and a natural part of our complex services. Read more at www.nets.eu.11jobnetcbe827e9100000000000aDK_OFIR_02DKDanmark228DKK2019-06-06T00:00:000000https://career5.successfactors.eu/career?career_ns=job_listing&company=C0001106999P&navBarLevel=JOB_SEARCH&rcm_site_locale=en_GB&career_job_req_id=14476&selected_lang=en_GB&jobAlertController_jobAlert0EuropaDanmarkSjælland & øerStorkøbenhavnBallerupEuropaDanmarkSjælland & øerNordsjællandEgedalEuropaDanmarkSjælland & øerStorkøbenhavnAlbertslund3509245NETS Denmark A/S11Lautrupbjerg 102750BallerupDKDanmark0DKDanmarkDKDanmark8Fuldtid46Permanent746268JobNet4975967497596710015-04-20190https://dispatcher.ofir.dk/statistic/register?context=FeedEntrySearchedCount&feedId=dc2beb84&entryId=cbe827e9https://dispatcher.ofir.dk/statistic/register?context=FeedEntryDisplayCount&feedId=dc2beb84&entryId=cbe827e9https://dispatcher.ofir.dk/statistic/register?context=JobApplicationInitiatedCount&feedId=dc2beb84&entryId=cbe827e9&page=ShowJob&component=SendApplicationButtonhttps://dispatcher.ofir.dk/statistic/register?context=JobApplicationAppliedCount&feedId=dc2beb84&entryId=cbe827e9&page=EmailApplyForm&component=SendApplicationButtonhttps://static.matchwork.com/company/logo/DK/ORS/SoMe/Produktion_haandvaerk_og_transport/Haandvaerk_og_service/2.jpgEr du en fagligt stærk medarbejder?12008001Dansk3Læse/ tale7Håndværk & service361482930Claus Aagaardnoreply@ofir.comDKDanmarkDKDanmarkda-DK