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- Tasks: Lead data science initiatives, optimising solutions for market intelligence products.
- Company: Fast-growing market intelligence provider with a vibrant culture.
- Benefits: Competitive salary, bonuses, and flexible hybrid working options.
- Why this job: Take ownership of projects and drive innovation in a dynamic environment.
- Qualifications: Experience in data science, Python, machine learning, and market intelligence.
- Other info: Join a supportive team focused on growth and personal development.
The predicted salary is between 64000 - 96000 £ per year.
This is a 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 will 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 will be behind product innovation and have exposure to a wide range of datasets 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 are there to enhance their overall market intelligence offering as they continue to expand globally.
This role is suited to a talented Data Scientist who is ready to do their best work yet. You may have worked in scale-ups or similar previously, are agile within a fast-moving environment, and are 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.
It is advantageous if you have previously worked with market intelligence or data analytics products in a data science capacity, probably via a research/intelligence agency, consultancy, or similar. You should 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 are 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 in London employer: MrWeb Ltd.
Contact Detail:
MrWeb Ltd. 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, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, machine learning, and any relevant projects you've worked on. Show them you’re the data whiz they need!
✨Tip Number 3
Don’t just talk about your past roles; share how you can contribute to their growth. Highlight your innovative ideas and how you can enhance their market intelligence offerings. They want to see your potential!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team and ready to take that next step in your career.
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: 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 the perfect fit for our fast-growing team. Be genuine and let your personality come through!
Showcase Your Projects: If you've worked on interesting data science projects, don't hesitate to mention them! Whether it's forecasting models or insights from complex datasets, we want to see what you've done and how it can contribute to our mission.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at MrWeb Ltd.
✨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 company and its position in the market intelligence space. Familiarise yourself with their products and how they leverage data science for insights. This will help you tailor your answers and demonstrate your genuine interest in contributing to their growth.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past challenges you've faced in data science and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Show Your Collaborative Spirit
Since the role involves engaging with various teams, be prepared to discuss how you’ve successfully collaborated with others in previous roles. Highlight your ability to communicate complex data insights to non-technical stakeholders, as this will be crucial in a fast-paced environment.
