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- Tasks: Develop and deploy machine learning models to drive business insights.
- Company: Leading UK-based company with a remote-first approach.
- Benefits: Annual bonus, competitive benefits, and a collaborative work culture.
- Why this job: Make impactful decisions using data in a dynamic and innovative environment.
- Qualifications: Strong foundation in data science, Python, SQL, and problem-solving skills.
- Other info: Exciting career growth opportunities in a supportive team.
The predicted salary is between 28800 - 48000 £ per year.
A leading UK-based company is seeking a Data Scientist to undertake a remote-first role. The successful candidate will develop and deploy machine learning models and analytical solutions to drive informed business decisions.
They will need a strong foundation in data science, proficiency in Python and SQL, and experience translating business problems into data insights.
Opportunities for a career in a dynamic environment with a focus on collaboration are available, plus an annual bonus and various benefits.
Remote-First Data Scientist — ML & Insights (UK) employer: Haven
Contact Detail:
Haven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote-First Data Scientist — ML & Insights (UK)
✨Tip Number 1
Network like a pro! Reach out to fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and analytical solutions. Use platforms like GitHub to share your projects, and don’t forget to highlight how they’ve driven business decisions.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Practice common data science interview questions and be ready to discuss how you’ve translated business problems into actionable insights in your past roles.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your experience with machine learning and data insights, and let us know why you’re the perfect fit for our remote-first team.
We think you need these skills to ace Remote-First Data Scientist — ML & Insights (UK)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how you can translate complex data into actionable insights, so don’t hold back on showcasing your technical skills!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific experiences where you've developed or deployed machine learning models, as this will help us see how you fit into our dynamic environment.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and how it relates to the job description.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter.
How to prepare for a job interview at Haven
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics, especially around machine learning concepts. Be prepared to discuss how you've applied these principles in real-world scenarios, as this will show your understanding and practical experience.
✨Showcase Your Technical Skills
Since proficiency in Python and SQL is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Translate Business Problems into Insights
Think about past projects where you turned complex data into actionable insights. Be ready to explain your thought process and how your findings influenced business decisions, as this will highlight your ability to connect data with real-world applications.
✨Emphasise Collaboration and Communication
This role values collaboration, so prepare examples of how you've worked effectively in teams. Highlight your communication skills, especially how you’ve explained technical concepts to non-technical stakeholders, as this will demonstrate your ability to work in a dynamic environment.
