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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 36000 - 60000 £ 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) in Hemel Hempstead 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) in Hemel Hempstead
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data insights. This is your chance to demonstrate how you can translate complex data into actionable business solutions.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and case studies. We want to be ready to discuss how our experience with Python and SQL can solve real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Remote-First Data Scientist — ML & Insights (UK) in Hemel Hempstead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL in your application. 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 CV and cover letter for this role. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with the job description. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the role. Avoid fluff and focus on what matters!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
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 ready to discuss how you've applied these principles in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a coding problem or explain how you've used these tools to derive insights from data. Practising common algorithms and SQL queries can really help you shine.
✨Translate Business Problems into Data Insights
Think about past experiences where you've successfully translated business challenges into data-driven solutions. Be ready to share specific examples that highlight your analytical thinking and how your insights led to informed decisions.
✨Emphasise Collaboration and Adaptability
Since this role is remote-first, it's crucial to demonstrate your ability to collaborate effectively with teams. Share examples of how you've worked with others in a virtual environment and how you adapt to different working styles to achieve common goals.
