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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 London 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 London
✨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 put in a good word for you.
✨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 can optimise solutions.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Scientist: Lead Forecasting & Market Intelligence in London
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. Use keywords from the job description to catch our eye!
Demonstrate Your Impact: When detailing your previous roles, focus on the impact you made. We love to see quantifiable results, so if you improved a model or optimised a solution, share those numbers! Show us how you can enhance our market intelligence offering.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Resources Group
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and be ready to discuss your experience with data acquisition and integration. Prepare to showcase specific projects where you've influenced modelling direction or optimised solutions, as this will demonstrate your hands-on expertise.
✨Understand the Market Intelligence Landscape
Familiarise yourself with the latest trends in market intelligence and how data science plays a role in shaping these insights. Being able to discuss current challenges and opportunities in the field will show that you're not just technically savvy but also industry-aware.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and decision-making process. Practice explaining your thought process clearly and concisely, as this will help interviewers understand how you approach complex data challenges.
✨Showcase Your Adaptability
Since the role is in a fast-moving environment, be prepared to share examples of how you've adapted to change in previous roles. Highlight any experiences where you've successfully navigated shifting priorities or implemented new technologies to enhance your team's output.
