Operations - Statistical Modelling & Machine Learning Scientist

AccentureO firmie

  • Warszawa

    mazowieckie
  • Ogłoszenie wygasło 4 lat temu
  • Specjalista
Accenture is a global management consulting, technology services and outsourcing company.
Its home page is www.accenture.com.
Statistical Modelling & Machine Learning Scientist
Workplace: Warszawa
00320568
Accenture Operations is one of Accenture key capabilities dedicated to work on outsourcing engagements. These are long-term partnerships with clients for whom we manage and provide increasingly specialized business operations, such as finance and accounting, IT, applications development and maintenance, helpdesk services, and HR. We not only maintain key business functions for clients, we constantly seek to improve them to help our clients move ahead of the competition.
 
You will be part of Accenture Analytics as a Service Core team leading the team that identifies and develops advanced analytics statistical models/ machine learning methods and solutions for Accenture operations clients to improve various business outcome indicators. Objective of the team is to successfully develop, conceptualize and test Various Statistical models and also integrate the outcomes as a real time analytics to elevate the Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients.
Key responsibilities
  • Lead a medium size team of network engineers spread across EMEA region and manage all HR related matters
  • Supervise delivery of networking systems and services
  • Supervise implementations of complex network scenarios as per the various client requirements.
  • Participate or drive periodical reviews and audits of the network environment.
  • Manage and supervise the implementation of the network policies & procedures to adhere to the security standard of Accenture.
  • Manage proper monitoring for the effective utilization of the network resources to resolve the network issues.
  • Improve Customer Satisfaction Index consistently to achieve the Organization targets.
  • Ensure delivery of networking services as defined in SLA
  • Ensure adherence to policies, processes and procedures defined for his/her area of work.
  • Identify process improvement areas, drive changes in the processes
  • Coach less experienced staff, ensure appropriate trainings are planned for the team in order to provide services on expected level.
Qualifications
 
  • Minimum bachelor's degree from an university of repute, MBA degree would be an asset
  • 4+ years of overall experience in the area of statistical modelling and machine learning
  • Deep knowledge of SAS. Other tools like SQL, R, S-plus, STATA, Map/Reduce, Hadoop, Hive and other data management tools will be an asset
  • Experience in any of the domains: Retail, Consumer Products marketing, Network, Supply Chain, F&A, Procurement, Life Science, eCommerce, Banking, Finance, Health Care, Human Resources, Digital marketing
  • A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non-parametric methods, time series analysis, forecasting and multivariate statistics
  • Extensive experience solving business problems using quantitative approaches
  • Experience in building and deploying business relevant analytics assets
  • Ability to deal with stress of competing priorities and diverging interests within the same immediate time frame
  • High energy level and be able to effectively work with various cross functional teams
  • Good verbal and written communication skills and an ability to work in a team environment
  • Excellent English communication skills (written & spoken) and good level of the other foreign
We offer
  • The ability to use your knowledge of foreign language on a daily basis at work (we serve our Clients in almost 30 foreign languages)
  • Experience with a range of Clients and technology solutions which provides professional relevance
  • Operating according to Lean Six Sigma philosophy
  • Collaborating and learning from diverse and talented colleagues helps you “raise your game”
  • Trainings and development tailored to help you achieve your potential
  • New Joiners Programme including trainings
  • Opportunity to engage in Corporate Social Responsibility initiatives
  • We also think about your social life, at Accenture you will be able to take part in different initiatives like Book Club, International Cuisine Club, Accenture Runners Club, family events, cultural meetings, photography classes, climbing, soccer, swimming and many others
  • Social benefit packages including: private medical care, Sodexo vouchers, Benefit sport club cards, life insurance
  • Friendly work atmosphere in multicultural environment
aplikuj
When applying please enclose the below statement:

"I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes and once the recruitment process is closed, I agree that Accenture Sp. z o.o. with its registered seat in Warsaw, 00-121, ul. Sienna 39 or any other entity of Accenture group places and processes my personal data in its database. I also express my consent to sending my personal data to third parties within the Accenture group pursuant to the Personal Data Protection Act of 29th August 1997 (Journal of Laws of 2002, No. 101, position 926 as amended). I submit the data voluntarily. I have been informed about the right of access to the content of my data and about the possibility of correcting them."

Check out all our job vacancies at our website:www.accenture.pl/bpowarsaw    

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law.
Accenture Operations is one of Accenture key capabilities dedicated to work on outsourcing engagements. These are long-term partnerships with clients for whom we manage and provide increasingly specialized business operations, such as finance and accounting, IT, applications development and maintenance, helpdesk services, and HR. We not only maintain key business functions for clients, we constantly seek to improve them to help our clients move ahead of the competition.
 
You will be part of Accenture Analytics as a Service Core team leading the team that identifies and develops advanced analytics statistical models/ machine learning methods and solutions for Accenture operations clients to improve various business outcome indicators. Objective of the team is to successfully develop, conceptualize and test Various Statistical models and also integrate the outcomes as a real time analytics to elevate the Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients.
Statistical Modelling & Machine Learning ScientistNumer ref.: 00320568
Key responsibilities
  • Lead a medium size team of network engineers spread across EMEA region and manage all HR related matters
  • Supervise delivery of networking systems and services
  • Supervise implementations of complex network scenarios as per the various client requirements.
  • Participate or drive periodical reviews and audits of the network environment.
  • Manage and supervise the implementation of the network policies & procedures to adhere to the security standard of Accenture.
  • Manage proper monitoring for the effective utilization of the network resources to resolve the network issues.
  • Improve Customer Satisfaction Index consistently to achieve the Organization targets.
  • Ensure delivery of networking services as defined in SLA
  • Ensure adherence to policies, processes and procedures defined for his/her area of work.
  • Identify process improvement areas, drive changes in the processes
  • Coach less experienced staff, ensure appropriate trainings are planned for the team in order to provide services on expected level.
Qualifications
 
  • Minimum bachelor's degree from an university of repute, MBA degree would be an asset
  • 4+ years of overall experience in the area of statistical modelling and machine learning
  • Deep knowledge of SAS. Other tools like SQL, R, S-plus, STATA, Map/Reduce, Hadoop, Hive and other data management tools will be an asset
  • Experience in any of the domains: Retail, Consumer Products marketing, Network, Supply Chain, F&A, Procurement, Life Science, eCommerce, Banking, Finance, Health Care, Human Resources, Digital marketing
  • A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non-parametric methods, time series analysis, forecasting and multivariate statistics
  • Extensive experience solving business problems using quantitative approaches
  • Experience in building and deploying business relevant analytics assets
  • Ability to deal with stress of competing priorities and diverging interests within the same immediate time frame
  • High energy level and be able to effectively work with various cross functional teams
  • Good verbal and written communication skills and an ability to work in a team environment
  • Excellent English communication skills (written & spoken) and good level of the other foreign
We offer
  • The ability to use your knowledge of foreign language on a daily basis at work (we serve our Clients in almost 30 foreign languages)
  • Experience with a range of Clients and technology solutions which provides professional relevance
  • Operating according to Lean Six Sigma philosophy
  • Collaborating and learning from diverse and talented colleagues helps you “raise your game”
  • Trainings and development tailored to help you achieve your potential
  • New Joiners Programme including trainings
  • Opportunity to engage in Corporate Social Responsibility initiatives
  • We also think about your social life, at Accenture you will be able to take part in different initiatives like Book Club, International Cuisine Club, Accenture Runners Club, family events, cultural meetings, photography classes, climbing, soccer, swimming and many others
  • Social benefit packages including: private medical care, Sodexo vouchers, Benefit sport club cards, life insurance
  • Friendly work atmosphere in multicultural environment
When applying please enclose the below statement:

"I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes and once the recruitment process is closed, I agree that Accenture Sp. z o.o. with its registered seat in Warsaw, 00-121, ul. Sienna 39 or any other entity of Accenture group places and processes my personal data in its database. I also express my consent to sending my personal data to third parties within the Accenture group pursuant to the Personal Data Protection Act of 29th August 1997 (Journal of Laws of 2002, No. 101, position 926 as amended). I submit the data voluntarily. I have been informed about the right of access to the content of my data and about the possibility of correcting them."

Check out all our job vacancies at our website:www.accenture.pl/bpowarsaw    

Accenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law.

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