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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 transformation.
- 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 developing your skills.
- Qualifications: MSc or PhD in a quantitative field; experience in data science tools and programming.
- Other info: Be part of a diverse team that values creativity and collaboration.
The predicted salary is between 30000 - 50000 £ 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’re always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too.
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.
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 in London employer: BP PLC
Contact Detail:
BP PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨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. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for your interview by brushing up on your technical skills. Be ready to discuss your experience with machine learning algorithms and data analysis. We want to see how you think and solve problems, so practice explaining your thought process clearly.
✨Tip Number 3
Show off your projects! Bring examples of your work to the interview. Whether it's a GitHub repo or a presentation, we love seeing how you've applied your skills in real-world scenarios. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your hands-on experience with data science tools and your understanding of machine learning algorithms. We want to see how you can contribute to our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how your background fits with our mission at bp. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and deliver actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to the right team. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at BP PLC
✨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 SQL, Python, 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 the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to deliver actionable insights, which is crucial for a Senior Data Scientist.
✨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. Highlight any successful projects where teamwork was key to achieving results, as this aligns with their focus on collaboration.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning algorithms and statistical methods. Brush up on the mathematical foundations behind your work and be prepared to explain complex concepts in simple terms. This will showcase your depth of knowledge and ability to communicate effectively with non-technical stakeholders.