Data Scientist in London - TEC Partners - Technical Recruitment Specialists

Job Description Data Scientist Opportunity in London

Position Overview:
Join our dynamic team in shaping the data strategy for a prominent European retail chain. We're seeking a proactive and adaptable Data Scientist who is passionate about leveraging data science to address diverse business challenges.

Responsibilities:
Dive into extensive and intricate datasets to gain comprehensive insights
Extract, interpret, and communicate findings effectively with the team
Develop predictive models using statistical and machine learning methods
Validate and refine models for accuracy and applicability
Stay updated on industry trends and advances in data science

Requirements:
Essential:
1-2 years of experience in a data-focused industrial environment
Degree in Mathematics, Statistics, or a related field, with a strong academic track record
Exceptional problem-solving and analytical abilities
Proficiency in Python, particularly with the pandas library
Strong communication and collaboration skills
A proactive attitude towards learning and development
Desirable:
Experience with SQL for data manipulation
Familiarity with time series modeling and forecasting
Exposure to Cloud Environments like GCP or AWS
Knowledge of Bash, Unix, and version control systems like Git
Understanding of Object-Oriented Programming principles

About Us:
Our client, founded by experts in machine learning and industry veterans, is dedicated to unlocking the value of data and technology. We specialize in applying cutting-edge research to solve complex challenges, with a focus on retail, pharmaceuticals, biotech, and law.

What they offer:
Opportunities for creative expression in tech and science
Exposure to impactful AI projects with direct client impact
Influence on customer value and AI strategy
Chance to see your work deployed at scale
Ownership and autonomy over projects
Supportive environment with experienced mentors
Contribution to the long-term growth of a dynamic company