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Job details

Data Scientist

Location: Budapest

Salary/Rate:

Type: Állandó

Closing Date:

Job Reference: 1188503

Your new company

An opportunity to work in a high performing development team at the forefront of the energy transition. The successful candidates will be developing and evaluating mathematical models to optimize energy systems and forecast market data. They will have strong analytical and maths skills, and experience of optimization systems and energy systems.

Your new role

  • Building and maintaining mathematical/statistical models for energy system components
  • Determining the best optimization algorithms and approaches to model an energy system including MILP, stochastic, statistical and neural optimization methods
  • Analyzing performance of energy system models and develop performance KPIs
  • Preprocessing of timeseries data such as weather, demand and market data

What you'll need to succeed

  • A background (minimum degree level) in physics, statistics, maths, computer science or engineering

At least two of the following:
1.Background or degree in mathematics or statistics, or the proven ability to understand complex mathematical models
2.Domain knowledge of energy systems, energy markets and power dispatch optimization
3.Proven ability to turn complex mathematical systems into computer programs

Desired skills:
  • Proficient in programming language such as Python or R, along with relevant libraries and framework with data manipulation, visualization and modelling
  • Develop and implement statistical models, machine learning algorithms, and forecasting techniques to solve energy forecasting problems
  • Competences in timeseries analysis, data integration and preprocessing, model evaluation and performance metrics, real time data processing and risk analysis
  • Experience working directly to end customers, understanding and documenting their requirements
  • Working both individually and teams to deliver complex solutions
  • Experience working with agile development teams, and the ability to prioritize and shift tasks to match changes in business priorities

What you'll get in return

  • Competitive salary based on your professional background
  • Competitive benefits: annual gross cafeteria allowance of HUF 504,000, yearly bonus, loyalty bonus, social benefits, term life insurance, commuting subsidies, daily allowance for travelling periods in case travelling is needed
  • Work in a cohesive, friendly community - families work here too
  • Modern and international environment
  • Flexible working hours for work-life balance
  • 2 home office days per week
  • Regular corporate events supporting your health and wellbeing: free health weeks in spring and autumn, community activities, team buildings, family events, and social initiatives
  • Continuous trainings to improve your professional knowledge and skills
  • You can take a diversified career path with job security of a leading global company
  • Collaborations across functions, business and regions will develop your skills and expand your network of contacts too
  • e-bike rental subsidy
  • Employee referral bonus
  • Employee discounts on purchases and services

What you need to do now


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.


#LI-DNI
- Tunde Verebelyi

Contact: Tunde Verebelyi

Office: Akadémia utca 6., 1. emelet, Academia Offices

Phone: +36707965529

Email: verebelyi@hays.hu

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