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For Companies At a Glance
- Tasks: Shape data-driven insights to inform key commercial decisions and develop innovative pricing models.
- Company: Join a dynamic tech company with a remote-first culture and collaborative meet-ups.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by using advanced data science techniques in a creative role.
- Qualifications: Experience in model creation, proficiency in Python, and strong communication skills.
- Other info: Work autonomously and collaboratively in a fast-paced, innovative environment.
The predicted salary is between 36000 - 60000 £ per year.
As the Senior Data Scientist, you will play a pivotal role in shaping how data‑driven insights inform key commercial decisions across a dynamic and evolving business. You will have full ownership over independent model ideation/creation, with the immediate focus being to help deliver pricing models, utilising guest data, and then will introduce the latest AI features/tools as well as other greenfield models/projects.
The Role
As the Senior Data Scientist, you will apply advanced data science techniques to enhance pricing strategies and forecasting accuracy. You will take ownership of developing, implementing and refining variable pricing models and forecasting tools, working closely with revenue management and other commercial teams. This is a hands‑on, creative role requiring both technical depth and commercial insight. You should be comfortable designing and building models independently, while also collaborating with a range of stakeholders to translate analytical findings into practical business solutions.
Key Responsibilities
- Design, develop, and refine data science models focused on pricing optimisation and demand forecasting.
- Use statistical and machine learning techniques to support commercial and operational decision‑making.
- Create and maintain data assets that can be understood and applied across both technical and non‑technical teams.
- Collaborate with business and technical partners to embed data‑driven methods into core processes.
- Continually explore creative ways to use diverse data sources to improve model performance and business impact.
Skills and Experience
- Experience creating a variety of models, independently e.g. without support/approval.
- Proficiency in Python and core data science libraries.
- Experience working with large and varied datasets.
- Excellent communication skills, able to explain technical work to non‑technical stakeholders.
- A creative, inquisitive mindset and the ability to innovate through data.
- Comfortable working both autonomously and collaboratively in a fast‑paced environment.
Senior Data Scientist employer: Switch Tech Talent
Contact Detail:
Switch Tech Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. This is your chance to demonstrate your model-building prowess and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and you might just find some exclusive roles waiting for you.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with model creation and data science techniques, as this is what we’re really looking for!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for the Senior Data Scientist role. Share specific examples of your past work that align with our needs, especially around pricing models and collaboration.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any relevant data science libraries. We want to see how you’ve used these tools in real-world scenarios, so be specific!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Switch Tech Talent
✨Know Your Models Inside Out
As a Senior Data Scientist, you'll need to showcase your experience with various models. Brush up on the models you've created and be ready to discuss their applications, strengths, and weaknesses. This will demonstrate your technical depth and ability to innovate.
✨Communicate Like a Pro
You’ll be working with both technical and non-technical teams, so practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated data-driven insights to stakeholders in the past. This will highlight your excellent communication skills.
✨Showcase Your Creativity
The role requires a creative mindset, so think of innovative ways you've used diverse data sources in previous projects. Be ready to share specific examples that illustrate your ability to enhance model performance and business impact.
✨Prepare for Collaboration
Since the team meets in London twice a month, emphasise your collaborative skills. Think of instances where you’ve worked effectively in a team setting, especially in fast-paced environments. This will show that you can thrive both autonomously and as part of a team.
