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- Tasks: Join a dynamic team to design and implement advanced ML models and scalable APIs.
- Company: Be part of an award-winning European Tech startup focused on sustainability and transportation.
- Benefits: Enjoy a competitive salary, 25 days leave, share options, and flexible working arrangements.
- Why this job: Work on cutting-edge AI solutions that make a real impact in supply chain sustainability.
- Qualifications: 2+ years in data engineering or ML engineering; Bachelor's in relevant field required.
- Other info: Ground-floor opportunity in a rapidly growing tech company with career progression.
The predicted salary is between 36000 - 84000 £ per year.
My client, an award-winning European Tech startup in the sustainability and transportation sector, is seeking a Full-Stack Data Scientist to join their innovative team. This is an exciting opportunity to work on cutting-edge AI and ML solutions that are helping transform supply chain sustainability.
🎯 Key Focus Areas:
Design and implementation of advanced ML models, particularly decision trees and statistical models
Development of scalable APIs using FastAPI
Building robust data pipelines and ETL processes
Data analysis and predictive modeling
💡 Technical Requirements:
Strong Python programming skills (Pandas, NumPy, Scikit-learn essential)
Proven experience with statistical analysis and machine learning algorithms
Extensive knowledge of API development and RESTful principles
Experience with database systems and data modeling
Familiarity with cloud platforms (AWS/GCP/Azure) and Docker
📊 Your Profile:
2+ years in data engineering, ML engineering, or backend development
Bachelor\’s degree in Computer Science, Engineering, Data Science, or related field
Strong analytical and problem-solving abilities
Experience with version control (Git) and CI/CD pipelines
🌟 Bonus Points For:
Experience with spatial data processing
Knowledge of big data technologies (Hadoop, Spark)
Databricks expertise
Deep understanding of MLOps and SDLC
💫 Benefits Package:
Competitive salary
25 days annual leave
Share options
Flexible working (3 days office-based)
Career progression opportunities
Ground-floor opportunity in a rapidly growing tech company
Interview Process:
Initial screening call
Technical case study + presentation
Final interview with Data Science Lead and CEO
Must have right to work in the UK. We are committed to equal opportunities and welcome applications from all qualified candidates.
Interested? DM me for more details or apply directly through this post.
Full Stack Data Scientist - £60,000 - London - StartUp employer: WUNDERTALENT
Contact Detail:
WUNDERTALENT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Data Scientist - £60,000 - London - StartUp
✨Tip Number 1
Familiarize yourself with the latest trends in AI and ML, especially in the context of sustainability and transportation. This will not only help you understand the company's mission but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Brush up on your Python skills, particularly with libraries like Pandas, NumPy, and Scikit-learn. Being able to demonstrate your proficiency in these tools during technical discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your experience with API development and data pipelines. Think of specific projects where you've implemented these technologies and be ready to discuss the challenges you faced and how you overcame them.
✨Tip Number 4
Since the role involves working with cloud platforms, make sure you have a solid understanding of AWS, GCP, or Azure. If you have any hands-on experience, be prepared to share examples of how you've utilized these platforms in your previous work.
We think you need these skills to ace Full Stack Data Scientist - £60,000 - London - StartUp
Some tips for your application 🫡
Understand the Company: Research the startup's mission and values, especially their focus on sustainability and transportation. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Emphasize your experience in data engineering, machine learning, and backend development. Be specific about the projects you've worked on, particularly those involving Python, APIs, and statistical models.
Showcase Technical Skills: Make sure to list your technical skills prominently, including your proficiency in Python libraries like Pandas and NumPy, as well as your experience with cloud platforms and Docker.
Prepare for the Interview Process: Familiarize yourself with the interview stages outlined in the job description. Prepare for the technical case study by practicing relevant problems and be ready to discuss your past projects in detail.
How to prepare for a job interview at WUNDERTALENT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, particularly libraries like Pandas and NumPy. Highlight specific projects where you've implemented machine learning algorithms or developed APIs using FastAPI.
✨Prepare for the Technical Case Study
Since there will be a technical case study, practice solving problems related to data analysis and predictive modeling. Familiarize yourself with decision trees and statistical models, as these are key focus areas for the role.
✨Demonstrate Your Problem-Solving Abilities
During the interview, emphasize your analytical skills and how you've approached complex problems in past projects. Use examples that showcase your ability to think critically and develop innovative solutions.
✨Understand the Company’s Mission
Research the startup's focus on sustainability and transportation. Be ready to discuss how your skills can contribute to their mission of transforming supply chain sustainability through AI and ML solutions.
