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- Tasks: Join our Product team to analyse data and build models for new product development.
- Company: Be part of a rapidly growing company that's a leader in the industry.
- Benefits: Enjoy remote work options and a competitive salary of £45k - £50k.
- Why this job: This role offers a unique chance to grow your skills and make a real impact.
- Qualifications: Advanced GIS skills and experience with spatial databases are essential.
- Other info: Ideal for creative data professionals looking for a hands-on, high-impact role.
The predicted salary is between 36000 - 60000 £ per year.
Data Scientist required to join our Client's high-performing Product team. This is a company that’s recently experienced exceptional growth and cemented its position as an industry leader. In this role, you’ll support both the Data Science Manager and Research Manager, giving you a rare opportunity to grow across disciplines. Your work will focus on new product development, BAU tasks, and directly support our wider strategic goals.
Primary Responsibilities:
- Analyse spatial and non-spatial datasets to identify patterns or trends
- Build models (e.g., spatial regressions, machine learning) to forecast or classify spatial phenomena
- Create visualizations (e.g., heatmaps, spatial clustering) for decision-makers
- Validate data outputs and refine product features using statistical techniques
Essential Skills:
- Advanced GIS use (QGIS, ArcGIS, MapInfo)
- Experience with spatial databases (SQL Server Spatial / PostGIS)
- Data extraction via APIs or web scraping
Desirable:
- Safe FME
- Python/R/JavaScript
- UK geospatial data knowledge
- Statistical analysis
This is a hands-on, high-impact role ideal for a creative and tenacious data professional.
London, Remote opportunity 45k - 50k
Data Scientist employer: ARC IT Recruitment
Contact Detail:
ARC IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in spatial analysis. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the geospatial data community. Attend meetups or webinars related to GIS and data science to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to showcase your technical skills by working on relevant projects. Create a portfolio that includes examples of your work with GIS tools, machine learning models, and data visualisations to impress during discussions.
✨Tip Number 4
Research StudySmarter's products and how data science plays a role in their development. Tailoring your conversation to show how your skills can directly contribute to their strategic goals will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with GIS tools like QGIS and ArcGIS. Include specific projects where you've analysed spatial datasets or built predictive models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in statistical analysis and experience with spatial databases align with their needs. Be sure to include examples of your past work that demonstrate your capabilities.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as proficiency in Python, R, or SQL. If you have experience with data extraction via APIs or web scraping, make sure to highlight that as well.
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 in data science roles.
How to prepare for a job interview at ARC IT Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with GIS tools like QGIS or ArcGIS during the interview. Be prepared to discuss specific projects where you've used these tools to analyse spatial datasets and how they contributed to your team's success.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss the methodologies you employed, such as machine learning models or statistical techniques, and the impact your solutions had on product development.
✨Familiarise Yourself with the Company’s Products
Research the company’s products and understand their strategic goals. This will allow you to tailor your responses to show how your skills can directly contribute to their objectives, especially in new product development.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future goals. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
