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- Tasks: Drive data insights to optimise pricing and enhance operational efficiency.
- Company: Join a fast-growing, AI-powered company making waves in the industry.
- Benefits: Enjoy remote work flexibility and a competitive salary with great perks.
- Why this job: Shape data strategy in a friendly, innovative environment with career progression.
- Qualifications: 5+ years in analytics, strong SQL/Python/R skills, and dashboard experience required.
- Other info: Ideal for those seeking a leadership role in a dynamic startup atmosphere.
Location: Remote (UK based)
Salary: Circa 70K – 75K + Benefits
Data Scientist required for a fast-growing, AI-powered Company! This is a varied role driving data-driven insights and strategic decision-making. You’ll leverage data to optimise pricing, improve market intelligence, and enhance operational efficiency.
Essential:
- At least 5yrs in an analytical role
- Strong technical background in SQL, Python or R
- Experience with dashboards (e.g. Tableau, Looker, Power BI etc.)
- Familiar with pricing models, market intelligence, and operational analytics
- Experience in a fast-paced startup or high-growth environment
A tremendous opportunity offering plenty of scope for career progression in a friendly, innovative environment where you’ll shape their data strategy, grow into a leadership position, and enjoy a healthy work/life balance!
Apply now for FULL details.
Data Scientist - Remote employer: Vertech Group (UK) Ltd
Contact Detail:
Vertech Group (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Remote
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in AI and machine learning. This will not only help you during interviews but also show your passion for the field and how you can contribute to our innovative environment.
✨Tip Number 2
Network with current or former employees in similar roles. They can provide insights into the company culture and expectations, which can be invaluable when preparing for your interview with us.
✨Tip Number 3
Brush up on your technical skills, particularly in SQL, Python, and R. Consider working on a personal project or contributing to open-source projects to demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Prepare specific examples of how you've used data to drive decision-making in previous roles. Being able to articulate your experience with dashboards and pricing models will set you apart from other candidates.
We think you need these skills to ace Data Scientist - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical experience, particularly in SQL, Python, or R. Emphasise any relevant projects or roles that demonstrate your ability to drive data-driven insights and strategic decision-making.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the company's needs. Mention your experience with dashboards and any familiarity with pricing models and market intelligence.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in fast-paced environments. Highlight specific examples where you've optimised pricing or improved operational efficiency using data analytics.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Scientist role.
How to prepare for a job interview at Vertech Group (UK) Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, or R during the interview. Prepare examples of how you've used these skills in previous roles, especially in relation to data analysis and insights.
✨Demonstrate Your Analytical Experience
With at least 5 years in an analytical role, be ready to discuss specific projects where you drove data-driven decisions. Use metrics and outcomes to illustrate your impact on pricing models and operational efficiency.
✨Familiarise Yourself with Dashboards
Since experience with tools like Tableau, Looker, or Power BI is essential, brush up on your knowledge of these platforms. Be prepared to discuss how you've created or utilised dashboards to present data insights effectively.
✨Emphasise Adaptability in Fast-Paced Environments
Given the company's startup culture, share examples of how you've thrived in fast-paced or high-growth settings. Highlight your ability to adapt quickly and contribute to a dynamic team environment.
