Data Scientist

  • Engineering
  • Manchester, United Kingdom

Data Scientist

Job description

Opportunity for an experienced and highly motivated Data Scientist to join a world leading software technology business, based in Manchester, with a global customer and employee base.

You will be a key driver in the development and optimization of our machine learning technologies to further advance our leading edge position in the digital adoption space.

Innovation and a passion for developing AI solutions is essential and rewarded with an opportunity to be a key part of the AppLearn team.

Job requirements


  • Help shape the design, documentation and implementation of a machine learning framework to meet the AI strategic objectives
  • Using AWS technologies build, test, deploy and optimise a suite of machine learning and NLP capabilities focused on the AI strategic objectives
  • Contribute to the evolution of the strategic roadmap
  • Identify and document opportunities for the advancement of data capture which further drives AI solutions
  • Identify, design, and implement internal process improvements: optimizing model delivery, testing and enabling scalability
  • Build analytical tools to enable KPI monitoring of machine learning model performance
  • Work with stakeholders including the Executive, Product, and Professional Services teams to bring innovation across our product and professional services
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Produce high quality documentation of solution design

Core Competences

  • Proven experience creating and optimising machine learning models that drive positive business and user-behavioural outcomes
  • Experience using statistical packages R/Python
  • Experience using a range of machine learning and NLP techniques (neural networks, decision trees, clustering, sentiment & classification analysis)
  • Exceptional problem solving skills with an emphasis on product development
  • Experience of working in agile teams and using code versioning systems
  • Motivated to learn and grow in a fast paced environment
  • Excellent communication skills

What do we offer in return?:

  • 25 days holiday
  • Hybrid, flexible working model
  • Bonus plan paid every 6 months
  • Share options
  • Pension plan
  • Enhanced maternity, paternity and adoption leave
  • Health cash plan
  • Annual pay review
  • Discounted gym membership
  • Cycle to work scheme
  • Free breakfast every day when in the office
  • Free onsite parking
  • Free office fitness and mindfulness classes
  • Monthly well-being sessions
  • 24/7 mental health support and company paid counselling