Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science initiatives and optimise solutions for market intelligence products.
- Company: Fast-growing market intelligence provider with a global reach.
- Benefits: Competitive salary up to £80,000 plus bonuses and hybrid working options.
- Why this job: Make a real impact in a dynamic environment while shaping the future of market intelligence.
- Qualifications: Experience in data science, proficient in Python and machine learning.
- Other info: Join a diverse team dedicated to your career growth and success.
The predicted salary is between 60000 - 84000 £ per year.
This role is a highly visible opportunity to lead data science initiatives within a growing market intelligence provider. You will influence modelling direction, technical decisions and delivery timelines to build, test, and optimise solutions that feed into intelligence and forecasting led products, with responsibility for forecasting, modelling, analysis and insight generation, and data acquisition and integration. The role supports evolving the company’s market intelligence offering as the business expands globally.
Responsibilities
- Take ownership of data science activity for the group; engage with leadership, research/analyst and data engineering teams on modelling direction, technical decisions, and delivery timelines.
- Build, test, and optimise solutions that feed into intelligence and forecasting led products.
- Lead forecasting and modelling, analysis and insight generation; oversee data acquisition and integration.
- Contribute to thought leadership, best practices, and data science strategy for the group over time.
- Enhance the overall market intelligence offering as the company expands globally.
Qualifications
- Experience as a Data Scientist in scale-ups or fast-moving environments; comfortable with ownership and autonomy.
- Proficient in Python, machine learning, temporal datasets and geospatial data.
- Experience with market intelligence or data analytics products (via research/intelligence agency, consultancy, or similar) is advantageous.
Employment details
- Senior-level Data Scientist
- Full-time, hybrid working (London)
Compensation
To £80,000 plus bonus/benefits; base pay range and further details discussed with recruiter.
Diversity and Equality
Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.
About Resources Group
With over thirty years’ experience helping thousands of Researchers, Insight Specialists, Marketers and Data Analysts in their career moves, Resources Group provides impartial advice and access to opportunities in Market Research, Insights and Marketing Strategy. Our consultants take the time to understand your career aims and are dedicated to finding you the best career move, with an unrivalled range of opportunities with top employers in the sector.
Senior Data Scientist – Fast Growing Market Intelligence Group 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 – Fast Growing Market Intelligence Group in England
✨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 and machine learning. 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. Practice common data science interview questions and be ready to discuss your past experiences and how they relate to the role.
✨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 recruiters who are looking for talent like yours.
We think you need these skills to ace Senior Data Scientist – Fast Growing Market Intelligence Group in England
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 passionate about data science and how you can contribute to our market intelligence initiatives. Keep it engaging and personal – we love a good story!
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 build, test, and optimise solutions. We’re keen to see your hands-on experience!
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’s super easy – just a few clicks and you’re done!
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 machine learning techniques. Prepare examples of how you've used temporal datasets and geospatial data in past projects, as this will show your expertise and relevance to the role.
✨Understand the Company’s Market Intelligence
Research the company’s current market intelligence offerings and think about how you can contribute to their expansion. Be prepared to discuss how your experience aligns with their goals and how you can enhance their products.
✨Showcase Your Leadership Skills
Since this role involves leading data science initiatives, be ready to share examples of how you've taken ownership in previous roles. Highlight any experiences where you've influenced technical decisions or collaborated with cross-functional teams.
✨Prepare Thought Leadership Insights
Think about best practices in data science that you can bring to the table. Be ready to discuss your vision for the future of data science in market intelligence and how you can contribute to the company's strategy.
