Accenture

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Originele vacaturetekst

Data Science Consultant - Responsible AI (all genders)

Jobbeschreibung

Excited by the fast-moving field of Responsible / Ethical AI and using data to develop scientific and analytical solutions to solve business problems? Our Data Scientists work with leading organisations to transform data into valuable, actionable insights using advanced machine learning methods.

A successful candidate is a problem solver who enjoys exploring data, is excited by difficult modelling challenges, possesses strong communication skills to effectively interface with client teams and can motivate and inspire teams of Data Scientists.

What responsibilities will you have?

Supporting the development and deployment of technical tools for Responsible / Ethical AI

  • Building tools and assets
  • Supporting client sales conversations and proposals
  • Delivering client projects relating to Responsible AI
  • Quality assurance and Subject Matter Expert input into proposals and deliveries
  • Helping to develop thought leadership and Points of View for external publication on Responsible AI
  • Support / develop /deliver Responsible AI technical training
  • Evaluate third party Responsible AI tools

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Basisqualifikationen

What skills & experience are we looking for?

  • Demonstrate some concrete interest / experience in the field of Responsible / Ethical AI, or closely related areas
  • Relevant work experience using data science, machine learning, and business analytics to solve business problems
  • Proficiency in some database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc.
  • Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
  • Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc.
  • Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
  • Capacity for reading, understanding and implementing new techniques in the field of machine learning as they emerge.
  • Data engineering expertise using Cloud technologies eg. AWS, GCP or Azure
  • Specialised visualisation techniques eg. D3.js, ggplot etc.
  • Fluency in spoken and written German and English

Practical experience in coding languages and analytical techniques. Proficiency required for many of the following:

  • Programming languages (Python, Spark )
  • Statistics and Probability Theory
  • Regression
  • Clustering Methods
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Text Mining
  • Computer Visioning
  • Image Recognition
  • Time Series Forecasting
  • Machine Learning Visualization Tools
  • Tree ensembles eg. Python, R, Scala, etc.; (Python preferred)

Call to action

Now is the time to become a digital disrupter. The opportunity is here—what’s stopping you from pursuing it?

At Accenture, you work with authentic professionals who have one thing in common: A passion for change. We are constantly on the lookout for new employees who have the personality, knowledge, and skills to make our agile and interdisciplinary teams even better. As facilitators, we use the synergy of technology and human intelligence to spark digital innovation and make the world a little better, too. Join our team and develop and implement strategies to strengthen the competitiveness and growth of our clients.

Get in Contact

Any questions? Then contact our Recruiting Team via email at recruiting_germany@accenture.com or by phone at 00800 45045045.

We look forward to receiving your application.

Locations
Duesseldorf,Frankfurt,Munich

Statement zur Chancengleichheit

Wir suchen Menschen mit eigenem Lebensentwurf und ungewöhnlichem Lebenslauf. Individuell statt uniform. Vielfalt statt Norm. Diversität ist unsere Stärke und eine wesentliche Komponente der Unternehmenskultur von Accenture. Wir fördern ein integratives und offenes Arbeitsumfeld, in dem sich jeder so zeigen kann, wie er ist. Bei Accenture ist jeder Bewerber willkommen: unabhängig von Herkunft, Nationalität, Glaube, Behinderung, Alter, Familienstand, Partnerschaftsstatus, sexueller Orientierung, Geschlecht und anderen gesetzlich geschützten Gründen.

JETZT BEWERBEN

REGISTRIERE DICH FÜR DEN JOB-ALARM

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What skills & experience are we looking for?

  • Demonstrate some concrete interest / experience in the field of Responsible / Ethical AI, or closely related areas
  • Relevant work experience using data science, machine learning, and business analytics to solve business problems
  • Proficiency in some database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc.
  • Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc.
  • Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc.
  • Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc.
  • Capacity for reading, understanding and implementing new techniques in the field of machine learning as they emerge.
  • Data engineering expertise using Cloud technologies eg. AWS, GCP or Azure
  • Specialised visualisation techniques eg. D3.js, ggplot etc.
  • Fluency in spoken and written German and English

Practical experience in coding languages and analytical techniques. Proficiency required for many of the following:

  • Programming languages (Python, Spark )
  • Statistics and Probability Theory
  • Regression
  • Clustering Methods
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Text Mining
  • Computer Visioning
  • Image Recognition
  • Time Series Forecasting
  • Machine Learning Visualization Tools
  • Tree ensembles eg. Python, R, Scala, etc.; (Python preferred)

Call to action

Now is the time to become a digital disrupter. The opportunity is here—what’s stopping you from pursuing it?

At Accenture, you work with authentic professionals who have one thing in common: A passion for change. We are constantly on the lookout for new employees who have the personality, knowledge, and skills to make our agile and interdisciplinary teams even better. As facilitators, we use the synergy of technology and human intelligence to spark digital innovation and make the world a little better, too. Join our team and develop and implement strategies to strengthen the competitiveness and growth of our clients.

Get in Contact

Any questions? Then contact our Recruiting Team via email at recruiting_germany@accenture.com or by phone at 00800 45045045.

We look forward to receiving your application.

", "description": "

Excited by the fast-moving field of Responsible / Ethical AI and using data to develop scientific and analytical solutions to solve business problems? Our Data Scientists work with leading organisations to transform data into valuable, actionable insights using advanced machine learning methods.

A successful candidate is a problem solver who enjoys exploring data, is excited by difficult modelling challenges, possesses strong communication skills to effectively interface with client teams and can motivate and inspire teams of Data Scientists.

What responsibilities will you have?

Supporting the development and deployment of technical tools for Responsible / Ethical AI

  • Building tools and assets
  • Supporting client sales conversations and proposals
  • Delivering client projects relating to Responsible AI
  • Quality assurance and Subject Matter Expert input into proposals and deliveries
  • Helping to develop thought leadership and Points of View for external publication on Responsible AI
  • Support / develop /deliver Responsible AI technical training
  • Evaluate third party Responsible AI tools
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COVID-19-Update: Die Sicherheit und das Wohlergehen unserer Kandidaten:innen, unserer Mitarbeitenden und ihrer Familien haben weiterhin höchste Priorität. Bis sich die Reisebeschränkungen ändern, werden die Interviews weiterhin virtuell durchgeführt.

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Art des Stellenangebotes:
Intern

Fähigkeiten

  • Es ist kein Abschluss erforderlich