Junior Engineer

• 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 LOréal 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 1700 employees operate in 25 countries (Americas Europe Asia Middle East India Africa) and we partner with 1000 clients.

As a Junior Software 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.

• Education: A Bachelors or Masters 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.

• Cloud & 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 Masters degree or PhD in a relevant field is a strong plus.

Hybrid working pattern