Junior Engineer
Domain
Tech Stack
Must-Have Requirements
- ✓Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or related quantitative field
- ✓Strong programming skills in Python
- ✓Solid understanding of data structures and algorithms
- ✓Experience with SQL for querying relational databases
- ✓Understanding of version control and repository tools (Git, CI/CD)
- ✓Ability to write clean, well-documented code
- ✓Analytical mindset with problem-solving skills
- ✓Strong verbal and written communication skills
- ✓Ability to work effectively in team environment
Nice to Have
- -Basic familiarity with cloud platform (AWS, GCP, or Azure)
- -Awareness of containerization concepts (Docker)
- -Good grasp of fundamental machine learning concepts
- -Understanding of supervised/unsupervised learning
- -Knowledge of model evaluation techniques
- -Understanding of feature engineering
- -Master's degree or PhD in relevant field
Description
Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Junior Engineer in our London office
, your role will encompass
working on engineering projects together with senior team members training and certification to enhance your skills in software engineering, data science, and data architecture.
Qualifications
Necessary education and experience
Education
A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.
Programming Proficiency
Strong programming skills in Python and a solid understanding of data structures and algorithms.
Software Engineering Fundamentals
A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.
Data Skills
Experience with SQL for querying relational databases.
Problem-Solving Skills
An analytical mindset with the ability to break down complex problems into manageable steps.
Eagerness to Learn
A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.
Communication & Collaboration
Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. Desirable experience
Cloud and MLOps Exposure
Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).
Core ML Knowledge
A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. Advanced Education : A Master's degree or PhD in a relevant field is a strong plus. Please send your CV to hr-uk@artefact.com