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- Tasks: Lead data science initiatives, optimise solutions, and drive product innovation.
- Company: Fast-growing market intelligence provider with a warm, collaborative culture.
- Benefits: Competitive salary up to £80,000, bonus, hybrid working, and great benefits.
- Why this job: Take ownership of your work and unleash your data science potential in a dynamic environment.
- Qualifications: Experience in data science, Python, machine learning, and familiarity with market intelligence.
- Other info: Join a team in an exciting growth phase with excellent career development opportunities.
The predicted salary is between 64000 - 96000 £ per year.
To £80,000 plus bonus/benefits; hybrid working (London). Hugely exciting opportunity for an innovative Senior Data Scientist to further develop platform capabilities of this fast growing market intelligence provider!
Taking ownership of data science activity for the group, you’ll engage with the leadership, research/analyst and data engineering teams regarding modelling direction, technical decisions, and delivery timelines to build, test, and optimise solutions that feed directly into their intelligence and forecasting led products. As such, you’ll be behind product innovation and have exposure to a wide range of data-sets to establish trends and insights.
Essentially, the role will encompass forecasting and modelling; analysis and insight generation; data acquisition and integration. In time, this will lead to thought leadership, best practice and overall data science strategy for the group. In short, you’re there to enhance their overall market intelligence offering as they continue to expand globally.
This is totally going to suit a talented Data Scientist who’s now about ready to kick back and do their best work yet. You’ve possibly worked in scale-ups or similar previously, are agile within a fast moving environment, and you’re itching for that role where this time you get the ownership and autonomy you haven’t had previously. This is that proverbial next step role that’s all about growth, development and true realisation of your data science potential.
Technically, it’s advantageous if you have previously worked with market intelligence or data analytics products in a data science capacity – probably via research/intelligence agency, consultancy or similar. You’ll be a whiz with Python, machine learning, temporal datasets and geospatial data (amongst other usual attributes in a data scientist’s arsenal).
There’s a lot more we could tell you – not least you’re going to love the company culture; they’re in an exciting, ‘all hands on deck’ growth phase but retain a very warm, human touch.
Once you’ve read this and think most of what’s been said applies to you, then get in touch!
Senior Data Scientist – Fast Growing Market Intelligence Group 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 – Fast Growing Market Intelligence Group in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding the company's products. Be ready to discuss how your experience aligns with their needs, especially around data science and market intelligence.
✨Tip Number 3
Showcase your projects! Bring examples of your work that demonstrate your skills in Python, machine learning, and data analysis. This will help you stand out and show that you can deliver results.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Senior Data Scientist – Fast Growing Market Intelligence Group 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 experience with Python, machine learning, and any relevant market intelligence projects to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've taken ownership in previous positions and how you can contribute to our growth and innovation.
Showcase Your Projects: If you've worked on interesting data science projects, don’t hesitate to include them! Whether it's forecasting models or insights generation, we want to see what you've done and how it relates to our needs.
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 this exciting opportunity in our fast-growing team!
How to prepare for a job interview at Resources Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python, machine learning, and working with temporal and geospatial datasets. Be ready to discuss specific projects where you've applied these skills, as this will show your hands-on experience and understanding of the role.
✨Understand the Company’s Market
Research the company’s products and their market intelligence offerings. Familiarise yourself with their competitors and industry trends. This knowledge will help you demonstrate how you can contribute to their growth and innovation during the interview.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and analytical thinking. Practice explaining your thought process clearly and concisely, as this will showcase your ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
✨Show Your Passion for Innovation
This role is all about product innovation and ownership. Be prepared to share examples of how you've driven innovation in previous roles. Highlight your eagerness to take initiative and how you can bring fresh ideas to the table, aligning with the company's growth phase.
