Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Clean and process data, build regression models, and enhance insights.
- Company: Innovative UK-based start-up at the forefront of data and AI.
- Benefits: Remote work, competitive salary, and a chance to shape the future.
- Why this job: Join a dynamic team and make an impact in predictive analytics.
- Qualifications: Passion for data science and collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
An innovative UK-based start-up is seeking a Data Scientist to join their rapidly growing team. This role involves cleaning and processing data, building regression models, and collaborating with various teams to enhance data insights. The company specializes in predictive analytics, providing crucial performance data that empowers investors. If you’re passionate about data science and eager to contribute to a dynamic environment, this opportunity is perfect for you. Join a team that is at the forefront of the data and AI revolution, and help shape the future of informed decision-making.
Remote Data Scientist — KPI Analytics & AI Insights in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist — KPI Analytics & AI Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, models, and insights. This is your chance to demonstrate your expertise in cleaning data and building regression models, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process when tackling data problems, as collaboration is key in this role. We want to see how you think!
✨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 are proactive about joining our innovative team.
We think you need these skills to ace Remote Data Scientist — KPI Analytics & AI Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data cleaning, processing, and regression models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and explain why you’re excited about joining our innovative team. Let us know how you can contribute to enhancing data insights.
Showcase Your Projects: If you've worked on any cool data science projects, include them in your application! We love seeing practical examples of your work, especially if they involve predictive analytics or AI insights.
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’re considered for this exciting opportunity in our rapidly growing team!
How to prepare for a job interview at Harnham
✨Know Your Data
Before the interview, brush up on your data cleaning and processing skills. Be ready to discuss specific techniques you've used in the past, such as handling missing values or outlier detection. This will show that you have practical experience and can hit the ground running.
✨Showcase Your Models
Prepare to talk about the regression models you've built. Bring examples of your work, including the challenges you faced and how you overcame them. This not only demonstrates your technical skills but also your problem-solving abilities, which are crucial for this role.
✨Collaborate Like a Pro
Since this role involves working with various teams, be ready to share experiences where you successfully collaborated with others. Highlight how you communicated complex data insights to non-technical stakeholders, as this will showcase your ability to bridge the gap between data science and business needs.
✨Stay Ahead of Trends
Familiarise yourself with the latest trends in predictive analytics and AI. Mention any recent developments or tools that excite you during the interview. This shows your passion for the field and your commitment to staying updated, which is essential for contributing to a dynamic environment.
