At a Glance
- Tasks: Lead the data product strategy and translate operational needs into high-value data products.
- Company: Oman Shell, a leader in energy innovation and sustainability.
- Benefits: Competitive salary, flexible working options, and a dynamic work environment.
- Other info: Join a collaborative team and drive successful product delivery.
- Why this job: Make a real impact in energy trading with cutting-edge data solutions.
- Qualifications: Deep knowledge of commodities data and experience in energy trading required.
The predicted salary is between 60000 - 80000 £ per year.
Oman Shell seeks a Lead Data Product Manager in Greater London to own and drive the data product strategy within the Shell Energy Chief Data Office. This role involves translating operational needs into high-value data products, overseeing the onboarding of sources, and managing technical designs for Azure data platforms.
The ideal candidate should possess deep knowledge of commodities data and experience in energy trading, as well as the ability to lead cross-functional teams for successful product delivery.
A competitive salary package and flexible working options are offered.
Data Product Lead for Trading & Risk in London employer: Oman Shell
Oman Shell is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to lead innovative data product strategies in the energy sector. With a focus on professional growth, team collaboration, and flexible working arrangements, employees are empowered to make impactful contributions while enjoying a competitive salary package. Located in Greater London, this role provides unique opportunities to engage with cutting-edge technology and drive meaningful change in the energy trading landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Lead for Trading & Risk in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oman Shell.
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When you find a suitable opening like Data Product Lead for Trading & Risk at Oman Shell, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Lead for Trading & Risk in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oman Shell, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oman Shell. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oman Shell
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oman Shell!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.