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Trainee Data Scientist

Job description

Job Description

Company: Data Science Consultancy

Role: Data Scientist

✨ Tech: Python, Java, SQL

Offer: £30,000

Based: Central London

Hybrid: 2 days a week in-office

About The Company

Your learning journey with this consultancy will stretch your existing skills in data science and business analytics, expand your knowledge, and offer real opportunities to practically implement what you know to genuinely add value to businesses.

The training programme means aligning yourself with a pioneer in AI-powered business simulations, underpinned by our network of experienced instructors with real and current industry credentials.

About The Role And Training

Unique training in applied analytics & data science, along with advanced business skills through our innovative AI-powered simulations and real client engagements.

Ongoing mentorship, collaboration, and opportunities to work with our partners in and around the City of London, on projects that make an immediate impact.

What You Need

  • Degree in relevant fields or demonstrable skill/competence in data science and analytics would be an advantage. However; if you can show your passion and talent with data, we want to hear from you.
  • Fluency in a programming language (e.g. Python,C,C++, Java, SQL)
  • Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms.
  • Strong data visualisation skills in products like PowerBI, Tableau or Quicksight.
  • A mindset that thrives on innovation, collaboration, and the desire to make a real difference.

What You'll Get

  • Comprehensive training through a blend of interactive classes, one-on-one coaching and agile product delivery in a hybrid start-up working environment.
  • £30 000 per annum salary upon completion of training should you accept a placement with one of our clients. Opportunities for performance-related bonuses and career progression.
  • Finance / tech industry experience with some amazing organisations
  • An inclusive environment that truly values diversity and creativity.

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