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Data Scientist

Data Scientist

  • Location Hungary - Budapest
  • Travel required Some travel may be required with this role, this is negotiable
  • Job category IT&S Group
  • Relocation available Relocation may be negotiable for this role
  • Job type Professionals
  • Job code RQ083968
  • Experience level Intermediate
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Job summary

Job Family Group:

IT&S Group


Job Description:

We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat and mobility to millions of people, every day. We are one of the very few companies equipped to solve some of the big complex challenges that matter for the future. We have a real contribution to make to the world's ambition of a low carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner, and to help the world get to net zero.

Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our world-class team?

Join our Technology Team and advance your career as a

Data Scientist

In this role You will:

  • Collaborate as part of a cross-disciplinary team, working closely with data scientists, data engineers, software engineers, data managers, and business partners.
  • Develop scalable and impactful data science products, often integrating statistical or machine learning algorithms, in partnership with data engineers and software developers.
  • Conduct data analyses to uncover actionable insights that drive business decisions.
  • Champion data science best practices by ensuring high standards in technical design, unit testing, monitoring, code reviews, and documentation.
  • Present your findings to both peers and senior management, making complex data understandable and actionable.
  • Contribute to the continuous improvement of our development processes, enhancing developer velocity and productivity.

What You will need to be successful:

  • MSc or PhD in a quantitative field (like Data Science, Statistics, or Computer Science).
  • 2+ years of experience creating and maintaining scalable data science solutions.
  • Strong understanding of statistics and machine learning principles.
  • Proficiency in an object-oriented programming language (e.g., Python, Java, C++).
  • Basic SQL skills for database management.
  • A customer-focused approach with a talent for delivering impactful results quickly.
  • Strong communication skills and the ability to effectively collaborate with various teams and partners.
  • A passion for continuous learning and improving your skills.

At bp, we provide the following environment & benefits to you:

  • Different bonus opportunities based on performance, wide range of cafeteria elements
  • Life & health insurance, medical care package
  • Flexible working schedule: home office up to 2 days/week, based on team agreement
  • Opportunity to build up long term career path and develop your skills with wide range of learning options
  • Family-friendly workplace e.g.: Extended parental leave, Mother-baby room
  • Well-being programs e.g.: Employee Assistance Program, Company Recognition Program
  • Possibility to join our social communities and networks
  • Chill-out and collaboration spaces in our beautiful Budapest Agora and Szeged offices e.g.: Play Zones, Office massage, Sports and music equipment
  • Assets like phone for private usage and company laptop are provided from the first day of employment with other equipment if requested

bp Hungary won the Most Attractive Employer 2023 Award (SSC / BSC sector) third time in a row at PwC's annual employer research. Come and join us!


Travel Requirement:

Some travel may be required with this role, this is negotiable


Relocation Assistance:

Relocation may be negotiable for this role


Remote Type:

This position is a hybrid of office/remote working


Skills:

Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving


Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

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