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- Tasks: Lead data science initiatives and optimise solutions for market intelligence products.
- Company: Top market intelligence provider with a focus on innovation.
- Benefits: Hybrid working model, competitive salary up to £80,000, plus bonus.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge data science.
- Qualifications: Strong Python skills and experience in dynamic settings.
The predicted salary is between 48000 - 64000 £ per year.
A leading market intelligence provider is looking for a Senior Data Scientist to lead data science initiatives. The role involves influencing modelling direction, making technical decisions and optimising solutions that feed into intelligence products.
Responsibilities include:
- Data acquisition
- Integration
- Enhancing the market intelligence offering
Suitable candidates will have strong Python skills and experience in fast-moving environments. The position offers a hybrid working model in London, with a salary of up to £80,000 plus bonus.
Senior Data Scientist: Lead Forecasting & Market Intelligence in England employer: Resources Group
Contact Detail:
Resources Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: Lead Forecasting & Market Intelligence in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving forecasting and market intelligence. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in data science. Be ready to discuss how you've influenced modelling direction in past roles and how you approach problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Data Scientist: Lead Forecasting & Market Intelligence in England
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in fast-paced environments. Don't just say you're good at it; give us examples!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. We’re looking for someone who can lead data science initiatives, so make it clear how your experience aligns with that. A little effort goes a long way!
Be Clear About Your Impact: When detailing your previous roles, focus on the impact you made. We love to see quantifiable results, so if you improved a process or led a successful project, let us know how it benefited the team or company.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Resources Group
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially around forecasting and market intelligence. Be ready to discuss your experience with Python and how you've applied it in previous roles. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and decision-making process. Practice explaining your thought process clearly, especially when discussing modelling direction and optimisation strategies. Use real examples from your past work to illustrate your points.
✨Showcase Your Adaptability
Since the role is in a fast-moving environment, be prepared to discuss how you've adapted to changes in projects or priorities. Share specific instances where you successfully navigated challenges and how you influenced outcomes positively.
✨Engage with the Company’s Vision
Research the company’s market intelligence products and be ready to discuss how your skills can enhance their offerings. Show genuine interest in their mission and how you can contribute to their goals, which will demonstrate your enthusiasm for the role.
