WUNDERTALENT

About the Company

Award-winning Recruitment for SaaS and Technology companies.

WuNDER_TALENT provides industry-leading recruitment services and executive search in the SaaS and Technology industry. We specialise in building teams across various positions, including software, Marketing, Sales, and Product

WuNDER_TALENT recognised the need for ambitious SaaS and Technology companies to have the right professionals to help them to accelerate growth. That's why we have dedicated ourselves to being the growth partner for some of the worlds most exciting and innovitive SaaS companies. We help our clients by building high-performing teams and defining your companies strategy by offering you in-depth recruitment & strategy consulting.

Listed Jobs

Company Name

WUNDERTALENT

Job Title

Full Stack Data Scientist - £70,000 - London - StartUp

Job Description

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.

London, United Kingdom

On site

06-02-2025