Junior Engineer

About this role

<h1>&nbsp;</h1> <h2>Who we are</h2> <ul> <li><strong>Artefact</strong> 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.</li> <li>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.</li> <li>Our <strong>1,700 employees</strong> operate in <strong>25 countries</strong> (Americas, Europe, Asia, Middle East, India, Africa) and we partner with <strong>1,000+ clients</strong>.</li> </ul> <h2>What you will be doing</h2> <p>As a <strong>Junior Software Engineer</strong> in our <strong>London office</strong>, your role will encompass:</p> <ul> <li>working on engineering projects together with senior team members</li> <li>training and certification to enhance your skills in software engineering, data science, and data architecture.</li> </ul> <h2>Qualifications</h2> <h3>Necessary education and experience</h3> <ul> <li><strong>Education:</strong> A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field.</li> <li><strong>Programming Proficiency:</strong> Strong programming skills in <strong>Python</strong> and a solid understanding of data structures and algorithms.</li> <li><strong>Software Engineering Fundamentals:</strong> A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code.</li> <li><strong>Data Skills:</strong> Experience with SQL for querying relational databases.</li> <li><strong>Problem-Solving Skills:</strong> An analytical mindset with the ability to break down complex problems into manageable steps.</li> <li><strong>Eagerness to Learn:</strong> A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework.</li> <li><strong>Communication &amp; Collaboration:</strong> Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members.</li> </ul> <h3>Desirable experience</h3> <ul> <li><strong>Cloud &amp; MLOps Exposure:</strong> Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker).</li> <li><strong>Core ML Knowledge:</strong> A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering.</li> <li><strong>Advanced Education</strong>: A Master's degree or PhD in a relevant field is a strong plus.</li> </ul> <p>Hybrid working pattern&nbsp;</p> <h1>&nbsp;</h1>