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- Tasks: Tackle exciting challenges in data science to drive innovation and sustainability.
- Company: Join bp, a leader in energy transition and digital solutions.
- Benefits: Enjoy flexible working, great work-life balance, and extensive learning opportunities.
- Why this job: Make a real impact on the future of energy while growing your career.
- Qualifications: MSc or PhD in a quantitative field with hands-on data science experience.
- Other info: Be part of a diverse team committed to inclusivity and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. We are always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond.
About the Role:
We are looking for a Senior Data Scientist to work on some of the important challenges bp is facing today. We work on a number of interesting problem spaces from the traditional oil and gas business through to renewables and our net-zero agenda, leveraging tools ranging from computer vision to timeseries forecasting.
Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world! All without compromising our operational risk management.
Working with us, you can do this by:
- Deploying our integrated capability and standards in service of our net zero and safety ambitions
- Driving our digital transformation and pioneering new business models
- Collaborating to deliver competitive customer-focused energy solutions
- Originating, scaling and commercializing innovative ideas, and creating ground-breaking new businesses from them
- Protecting us by assuring management of our greatest physical and digital risks
Because together we are:
- Originators, builders, guardians and disruptors
- Engineers, technologists, scientists and entrepreneurs
- Empathetic, curious, creative and inclusive
Key Accountabilities:
- Part of a cross-disciplinary team, working closely with other data scientists, data engineers, software engineers, data managers and business partners.
- Build scalable, re-usable, impactful products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Carry out data analyses to yield actionable business insights.
- Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
- Present results to peers and senior management.
- Actively contribute to improve developer velocity.
- Mentor others.
Essential Experience & Qualifications:
- Hands-on experience designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools and approaches across all data lifecycle stages.
- Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
- Advanced SQL knowledge.
- Experience with data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
- Knowledge of experimental design and analysis is a plus.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
- Strong partner management and ability to lead large organizations through influence.
- Continuous learning and improvement attitude.
- MSc or PhD degree in a quantitative field.
- No prior experience in the energy industry required.
Why Join Us?
At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.
We support our people to learn and grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.
There are many aspects of our employees' lives that are significant, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and others benefits.
Reinvent your career as you help our business meet the challenges of the future. Apply now!
Travel Requirement: Negligible travel should be expected with this role.
Relocation Assistance: This role is not eligible for relocation.
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.
Senior Data Scientist employer: BP Energy
Contact Detail:
BP Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at bp or in the data science field. A friendly chat can give you insider info and maybe even a referral. Don't be shy, we all love a good conversation!
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We want to see how you tackle challenges, so have some examples up your sleeve that showcase your problem-solving prowess.
✨Tip Number 3
Show off your passion for innovation! When you talk about your experience, highlight how you've contributed to digital transformation or created impactful solutions. We love candidates who think outside the box and are eager to drive change.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team. Let’s make this happen together!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight your experience with data science tools and methodologies that align with our needs, especially in areas like machine learning and statistical analysis.
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your skills in building scalable data products. We love seeing how you've tackled complex problems and delivered actionable insights!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and achievements, making it easy for us to see why you’d be a great fit for the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at BP Energy
✨Know Your Data Science Tools
Make sure you’re well-versed in the data science tools and technologies mentioned in the job description. Brush up on your knowledge of Python, SQL, and any relevant frameworks like Hadoop or Spark. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to analyse data and derive actionable insights. This will demonstrate your practical experience and your fit for the role's focus on delivering competitive energy solutions.
✨Emphasise Collaboration
Since the role involves working closely with cross-disciplinary teams, be ready to talk about your experience collaborating with data engineers, software engineers, and business partners. Share examples of how you’ve successfully worked in a team to build impactful products, as this aligns with their emphasis on teamwork.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of statistical foundations and machine learning principles. Brush up on key concepts and be prepared to explain them clearly. This will not only showcase your expertise but also your ability to communicate complex ideas effectively, which is crucial for presenting results to peers and management.