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- Tasks: Lead data science initiatives, optimising solutions for market intelligence products.
- Company: Fast-growing market intelligence provider with a warm, collaborative culture.
- Benefits: Competitive salary up to £80,000, bonuses, hybrid working, and growth opportunities.
- Why this job: Make a real impact in a dynamic environment while owning your projects.
- Qualifications: Experience in data science, Python, machine learning, and familiarity with market intelligence.
- Other info: Join a team that values innovation and personal development.
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 role is suited for a talented Data Scientist who’s ready to 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 looking for a role where you get the ownership and autonomy you haven’t had previously. This is a 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 proficient with Python, machine learning, temporal datasets and geospatial data.
There’s a lot more we could tell you about the company culture; they’re in an exciting, ‘all hands on deck’ growth phase but retain a very warm, human touch.
If you think most of what’s been said applies to you, then get in touch!
Senior Data Scientist – Fast Growing Market Intelligence Group 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. The more you engage with others, the better your chances of landing that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python, machine learning, and geospatial data. 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 technical knowledge and soft skills. Be ready to discuss your past experiences and how they relate to the role. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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 employers who are looking for talent like yours.
We think you need these skills to ace Senior Data Scientist – Fast Growing Market Intelligence Group
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, machine learning, and any relevant market intelligence projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background makes you a perfect fit. We love seeing genuine enthusiasm and a clear connection to our mission.
Showcase Your Projects: If you've worked on interesting data science projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to innovate and solve problems. We’re keen to see your creativity in action!
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 role. Plus, it shows you’re proactive – a quality we admire!
How to prepare for a job interview at Resources Group
✨Know Your Data Science Stuff
Make sure you brush up on your technical 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
Do your homework on the market intelligence sector and the company’s position within it. Familiarise yourself with their products and how data science plays a role in their innovation. This will help you tailor your answers and demonstrate your genuine interest in contributing to their growth.
✨Showcase Your Ownership Mindset
Since this role is all about taking ownership, prepare examples from your past experiences where you’ve led projects or made significant decisions. Highlight how you’ve driven results and contributed to product innovation, as this aligns perfectly with what they’re looking for.
✨Be Ready for a Culture Fit Discussion
The company values a warm, human touch, so be prepared to discuss how you align with their culture. Share your thoughts on teamwork, collaboration, and how you thrive in fast-paced environments. This will help them see you as a great fit for their team dynamic.
