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Praelexis AI

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Careers

At Praelexis, we're always looking for thoughtful, curious people who want to solve real-world problems with AI. On this page, you'll get a sense of what a typical Praelexian looks like: the skills and the mindset we care about most. If you're interested in joining us, follow us on LinkedIn to stay up to date with new opportunities.

Praelexis team

Curiosity

You are naturally curious and enjoy diving deep into data to uncover valuable insights.

Confidence with Tools

You are comfortable using your tools, especially when facing uncertain situations.

Patience and Meticulousness

You are patient and meticulous in analysing large data sets to find meaningful value.

Creativity

You approach problem-solving with creativity, applying new technology in innovative ways.

Skills Variety

You bring a blend of statistical, mathematical, and business strategy skills, enabling you to ask the right questions and find the right answers.

Ethical Responsibility

You understand the ethical responsibilities that come with working with big data, particularly in safeguarding consumer privacy.

What makes an ideal candidate at Praelexis?

We see our employees (Praelexians) as passionate crafters. At Praelexis, mindset matters as much as technical ability. Ideal candidates are curious, creative, and thoughtful in their approach to solving complex problems with data.

Do you want to become a Praelexian? Send us your CV

What We Do in a Day

Drive Impact

You'll build data-driven products that help clients achieve real business outcomes.

Deep Data Expertise

You'll work closely with client data, becoming an expert in their unique context.

Lead with Insight

You'll share best practices, design learning cycles, and guide teams through iterative development.

Client Collaboration

You'll communicate clearly and consistently with clients to ensure alignment and impact.

Our Skillset

Many of our team members have an understanding of or skills in the following areas:

Rest APIs
Web frameworks: Node, Express, Angular
SQL & noSQL Databases
Hadoop & Spark
HTML, CSS & JavaScript
Python
Any SQL variant
Statistics
Agile Development
Mathematical Modelling
Machine Learning
Natural Language Processing
Linux
Data Processing (ETL)
Rest APIs
Web frameworks: Node, Express, Angular
SQL & noSQL Databases
Hadoop & Spark
HTML, CSS & JavaScript
Python
Any SQL variant
Statistics
Agile Development
Mathematical Modelling
Machine Learning
Natural Language Processing
Linux
Data Processing (ETL)