Data Scientist

Job Req ID:  5378
Posting Date:  30-Dec-2022
Function:  Business Services & Operations
Location: 

Building 31, Budapest, Hungary

Salary:  Competitve with great benefits

What you'll be doing: 
 

  • Developing, deploying and maintaining machine learning models that support vital functions of the company: sales and marketing activities, financial planning and control, network predictive maintenance and incident management, workforce planning. We are a big international telco company, so there are lots of opportunities to practice your skills and experiment with different approaches.
  • Solving machine learning problems like classification, regression, deep learning, anomaly detection, time series forecasting, all in order to support the BT Global Services organisation.
  • Participate in the creative scoping process of new data science projects where later you can be the one who delivers the solution. The projects will have senior levels of visibility and have significant business impact.
  • Working together with data engineer colleagues to industrialise data science methods and disciplines within the organisation. This means that you will play a key role not only in delivering significant projects but also helping BT to become a more data driven organisation.
  • Telling compelling stories with your insights to non-technical as well as technical audiences.
  • Keeping up to date with the latest developments in AI and Machine Learning and applying these to address our stakeholders’ business problems. We can help you in this with subscriptions to online learning portals and occasional instructor-led trainings.
  • Supporting knowledge sharing initiatives and helping to build a strong data science community within BT.

 

 

This role will suit you if you have the following skills:

 

Professional skills:


 

  • Experience with enterprise analytics and data science projects, preferably 2 or more years
  • Knowledge of data science disciplines: supervised/unsupervised learning, time series analysis, feature selection, clustering, neural networks, natural language processing, model performance evaluation. How to set up hypotheses and test them, how to establish confidence in the results?
  • Python scripting/development for data science
  • Knowledge of SQL is a strong advantage. Collaboration and version control in GitLab is an advantage
  • Experience with cloud environments like GCP, AWS is an advantage but not required
  • Coding and modelling experience with any other relevant tools (for example R, Rapidminer, Knime) is an advantage

 

Soft skills:
 

 

  • Focusing on the objectives and the required outcomes while delivering a truly data driven development.
  • Using all data and information available to analyse and understand a situation, with the aim of supporting decisions.
  • Working flexibly to address the challenges posed by the data. Ability to find root causes of problems and to focus on their quick and efficient solution.
  • Focusing on all aspects and details of a task and delivering your output with a high level of accuracy.
  • Working with a cooperative and positive attitude in a group setting to achieve common goals
  • Communicating effectively and efficiently while adapting to your audience and getting the message through as intended.

 
Language skills:
 

  • English on a fluent level

 

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