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Artefact

data consulting · AI and machine learning

Junior Engineer

London · OnsitePosted 5 months ago
Software engineeringJunior
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About the role

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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

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