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Data Scientists to Stavanger

Job Location: Stavanger

Regional Description: Norway

Job Number: 00557455

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- Job description

Accenture is creating a Digital Hub in Stavanger, and is looking for Data Scientists


Accenture’s Digital practice is looking for Data Scientists to join our Applied Intelligence team in our new Digital Hub in Stavanger. In Applied Intelligence, we turn data into actionable insights in the new digitalized world.


We combine Artificial Intelligence with deep Industry and Analytics expertise to help our clients embrace intelligent technologies confidently and responsibly.


Read more from https://www.accenture.com/no-en/applied-intelligence-index


We are looking for both Junior (1-4 years), Senior (4-8 years) and Experts (8+ years) to work in client facing roles.


We expect you have a Master’s Degree or PhD in relevant disciplines.


Experience from oil and gas industry is valued, but not a requirement.



Junior Data Scientist:


We are looking for Analytics practitioner with working experience of various statistical tools, software and statistical algorithms. You should be capable of writing algorithms and developing statistical models as well as partially automate the models for ongoing updates.


The junior data scientists should also be capable of performing descriptive analytics and develop first hand self-service visualizations and interactive dashboards that can be handed over to business for ongoing enhancements by business users.


This role need guidance on business and what algorithms to use for solving a specific business problem.


Experience: 1-4 years of relevant experience


You preferably have some of the following qualifications and interest to grow in others:


 

  • Statistical Methods: Regression, Constraints based model, CHAID, Clustering, Support Vector Machine, Forecasting (ARIMA, Single smoothing, double smoothing etc), market mix modeling, Linear programming etc.
  • Tools: Python, R, Azure ML, SAS, Tensorflow, Power BI, Tableau, Qlik

 



Senior Data Scientist:


We are looking for Data Scientists capable of understanding business problems with minimal guidance, and ability of choosing right analytics methods. In addition to working knowledge of statistical models and algorithms she/he needs to bring expertise in one or more functional areas such as:


 

  • Operations Analytics
  • Predictive Asset Maintenance
  • Corrosion Analytics
  • Field Service Analytics
  • Customer service analytics
  • Supply chain analytics
  • B2B Analytics
  • Marketing and Sales Analytics
  • Commercial Analytics
  • IoT Analytics
  • Azure database experience
  • Azure analysis services
  • Power BI experts 

 

 


We expect you to be well articulated and capable of handling client conversations.


In addition, you preferably have some of the following qualifications and interest to grow in others:


 

  • Analytics Techniques: Segmentation, Demand Planning, Warranty Analytics, Optimization models, Association Rules, Deep Learning, Reinforcement learning
  • Statistical Methods: Regression, Constraints based model, CHAID, Clustering, Support Vector Machine, Forecasting (ARIMA, Single smoothing, double smoothing etc), Hidden Markov Models, Linear programming etc.
  • Tools: Python, R, Azure ML, SAS, Tensorflow, Power BI, Tableau, Qlik
  • Industry: Oil and gas experience

 


Experience: 4-8 years of relevant experience


Expert Data Scientist:


We are looking for an Expert level Data Scientist with wide area of experience from Advanced Analytical Modelling, Algorithms and Statistical Modelling, who is capable of solving highly complex industry problems specific to business functions and digital programs.


The Expert Data Scientist resource will identify opportunities to leverage data science and advanced analytics to improve processes, reduce cost, increase sales, improve product and service experience. He/she is capable of identifying and solving business problems by using analytics that is new and innovative for which solutions does not necessarily exist today.


The Expert brings relevant industry experience from Oil & Gas. Following are the key contribution areas of Expert Data Scientist:


 

  • Extensive Industry Expertise - Oil and Gas, Engineering, power & utilities, maritime, manufacturing etc.
  • Functional Area Expertise – Operations Analytics, Predictive Asset Maintenance, Corrosion Analytics, Field Service Analytics, customer service analytics, supply chain analytics, B2B Analytics, Marketing and Sales Analytics, Commercial Analytics, IoT Analytics, customer service analytics, supply chain analytics,  etc.
  • Transformational Program experience: creating vision, prioritizing solutions, managing multiple agile analytics developments, co-ordinating cross functional data and analytics requirements, navigating stakeholder through that journey 
  • Leverage Accenture’s global network of data scientists and external forums of Data Science platform to bring analytics solutions for clients.
  • Use Value Framework to drive Business and analytical discussions with business stakeholders and drive outcomes for each digital program and business units
  • Storyboarding analytical findings for top management
  • Interact with execution teams to provide solutions and recommendations to improve business processes

 


Analytics Techniques: Segmentation, Demand Planning, Warranty Analytics, Optimization models, Association Rules, Deep Learning, Reinforcement learning

Statistical Methods: Regression, Constraints based model, Erlang Model, CHAID, Clustering, Support Vector Machine, Forecasting (ARIMA, Single smoothing, double smoothing etc), Hidden Markov Models, Linear programming, Conjoint Analysis etc.

Tools: Python, R, Azure ML, Microsoft workbench, SAS, Tensorflow, Keras, Power BI, Tableau, Qlik

Experience: 8+ years of relevant experience


Why Accenture?


Because people enjoy working here; the work we do is challenging, interesting and meaningful. 


Accenture offers a unique career experience and unparalleled opportunity for you to grow and advance. We are driven by the best results but we never forget to support each other. We like to challenge our employees and give them the opportunity to shine and succeed. We invest heavily in our people’s growth and knowledge development.

Our best and only asset is our people. We believe they’re at their best when knowing what is expected from them and we want to support them in different life phases. 


Accenture welcomes and encourages applications from diverse backgrounds related to gender, ethnicity, culture, age etc. We provide an environment of inclusion and diversity where everyone brings distinct experience, talent and culture to their work. We invite you to be part of this diversity!


Interested?

If you wish to discuss more about the job itself, please contact 

 

  • Accenture Digital Lead Stavanger: Sven Erik Skjæveland, tel. +4791855707 or
  • Accenture Digital Data Science Lead Nordics: Madan Kumar Singh, tel. +46730513029

 

for more details. 


Please send your application online by attaching your cv, cover letter and academic records. We look forward to meeting you!


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