Senior Data Scientist

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner.

It's an exciting time to join bp. Meeting the energy challenge requires many different approaches and solutions. And as part of Finance Business & Technology (FBT), you’ll be fully connected into the world of bp. You’ll play an increasingly important part within a network of like-minded colleagues partnering on strategic projects that stretch across the globe. And it starts with you. There’s a world of opportunities to build new skills, challenge yourself and grow a long-term career at bp. And no matter where you work, your role will have meaning, purpose and impact. So if you want to be part of a caring, supportive environment where you can realize your full potential, we’re with you.

Join our Team and advance your career as a Senior Data Scientist

A Senior Data Scientist applies scientific methods, statistical techniques, algorithms and engineering practices to develop data science and machine learning solutions that generate business value. This role combines hands-on data science, model development and technical implementation, helping turn data into actionable insight and scalable products.

You will work with large and complex data sets, support the design and development of machine learning and analytical solutions, and help translate business problems into practical data science use cases.

The role will involve close collaboration with data scientists, software engineers and business partners to build reliable, reusable and maintainable solutions. Alongside machine learning engineering responsibilities, you will also contribute to data analysis and insight generation, ensuring.

In this role You will:

• Be part of a cross-disciplinary team, working closely with data scientists, data engineers, data managers and business partners

• Support the design, development and deployment of scalable, reusable and impactful data science and machine learning solutions

• Carry out data analysis to generate actionable business insights and support data-driven decision-making

• Contribute to the design and implementation of statistical and machine learning models in collaboration with more senior data scientists and engineers

• Help translate business problems into technical approaches, contributing to project delivery and seeing opportunities where data science or machine learning can contribute

• Produce well-structured, maintainable and well-documented code and technical artefacts

• Adhere to and advocate for engineering and data science standard processes, including technical design, code review, testing, monitoring, alerting and documentation

• Support the scalability, efficiency and maintainability of machine learning systems

• Present findings and outputs to peers and partners were appropriate

• Stay up to date with developments in machine learning, AI and analytics, and apply relevant approaches when useful

• Contribute to improving developer speed, reuse and team ways of working

• Support and learn from more senior team members, while also contributing to team knowledge sharing

What You will need to be successful:

• Master or equivalent experience in a quantitative field

• Hands-on experience designing, prototyping, building, maintaining and documenting reliable and scalable data science or machine learning solutions in complex environments

• Applied knowledge of data science and machine learning tools and approaches across the data lifecycle

• Good understanding of the mathematical foundations of statistics and machine learning

• Development experience in one or more object-oriented programming languages such as Python, Go, Java or C++

• Experience carrying out data analysis and translating findings into actionable insights

• Customer-centric and pragmatic attitude, with a focus on value delivery and swift execution while maintaining attention to detail

• Strong communication and partner management skills

• Continuous learning and improving mentality

Desired:

• Experience with big data technologies such as Hadoop, Hive or Spark

• Knowledge of experimental design and analysis

• Advanced SQL knowledge

• PhD or equivalent experience in quantitative field

• Prior energy industry experience is not required

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

• Hybrid working arrangement aligned with team arrangements and business needs

• Opportunity to build up long-term career path and develop your skills with wide range of learning options

• Celebrate in bp’s success. You may be eligible to join bp’s Global ShareMatch plan. This non-contractual benefit lets employees buy bp shares and receive matching shares, in line with plan rules

• Family friendly workplace e.g.: Extended parental leave, Mother-baby room

• Employees’ wellbeing 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, Sport and music equipment

bp Hungary won the Most Attractive Employer 2024 Award (SSC / BSC sector) fourth time in a row at PwC's annual employer research. Come and join us!

At bp, we support our people to learn and grow in a diverse and ambitious environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life.

Disclaimer: Please note that, according to Hungarian law (2012/I. 113. §), mothers or single parents caring for a child under three years of age cannot be employed in night shift positions.