At a Glance
- Tasks: Lead predictive modelling to enhance our global sales strategy and automate data processes.
- Company: Join Dow Jones Energy, a leader in the energy sector with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation in the energy industry.
- Why this job: Make a real impact by transforming complex data into actionable insights for sales success.
- Qualifications: Experience in data science, machine learning, and collaboration with cross-functional teams.
The predicted salary is between 60000 - 80000 £ per year.
Dow Jones Energy seeks a Senior Commercial Data Scientist to lead predictive intelligence modeling that powers our global sales strategy.
You will build production‑grade ML algorithms and deploy them to guide when to call, which product to pitch, and at what price.
Collaborate with Sales, Revenue Operations and Data Engineering to automate pipelines, dashboards, and alerts in cloud environments, connect to Salesforce, and translate complex data into actionable insights for the sales force.
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Senior Commercial Data Scientist - Sales Intelligence & Revenue in London employer: Storyful
As a Senior Manager in Integrated Marketing at The Wall Street Journal & Barron's Group, you'll thrive in a dynamic London office environment that champions creativity and collaboration. Our commitment to employee growth is evident through ongoing training and exposure to diverse sectors, while our vibrant work culture fosters innovation and teamwork. Join us to be part of a leading media organisation that values your contributions and offers a unique opportunity to shape compelling marketing strategies in the heart of one of the world's most influential cities.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Commercial Data Scientist - Sales Intelligence & Revenue in London
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We think you need these skills to ace Senior Commercial Data Scientist - Sales Intelligence & Revenue 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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Storyful. 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 Storyful
✨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!
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✨Get Comfortable with Python and R
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✨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.
