RTX

Principal Data Scientist, Machine Learning Researcher

RTX

full-time

Posted on:

Location Type: Hybrid

Location: Gloucester • United Kingdom

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Job Level

Lead

Tech Stack

DockerPythonPyTorchTensorflow

About the role

  • Support the Head of Data Science & Machine Learning using your experience to contribute to the group strategy and stakeholder engagement.
  • Bring ideas for novel research that will drive competitive advantage in across our customer community.
  • Work with autonomy to develop complex, novel data science solutions.
  • Support in triaging and responding to opportunities, aligning to the group and wider business strategies.
  • Design and deliver data-centric solutions while working collaboratively across disciplines.
  • Technical delivery of research and applied AI/ML tasks on both customer and internal research projects.
  • Provide technical leadership across multiple projects.
  • Manage more junior team members across the SRG.
  • Deliver AI/ML/Data Science solutions to broad range of problems in defence.
  • Work with customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
  • Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team, to senior stakeholders and at conferences with adaptability to audiences of different levels of technical expertise.

Requirements

  • BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
  • Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.
  • Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.
  • Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.
  • Experience of appropriate version control and environment management (such as venvs or Docker).
  • Experience of writing technical project proposals.
  • Experience of managing teams.
  • Experience of leading teams following agile principles.
  • Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision.
  • Experience of training and developing AI models including Large Language Models.
  • Ability to produce high-quality scientific writing for internal & external stakeholders as well as academic publications.
  • Ability to work with high levels of autonomy, with awareness of appropriate business policies and strategy to dictate your actions.
Benefits
  • Competitive salaries.
  • 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
  • Contributory Pension Scheme (up to 10.5% company contribution)
  • Company bonus scheme (discretionary).
  • 6 times salary ‘Life Assurance’ with pension.
  • Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.
  • Enhanced sick pay.
  • Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
  • Car / Car allowance (dependant on grade/ role)
  • Private Medical Insurance (dependant on grade)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Machine LearningData SciencePythonHuggingFaceTensorFlowPyTorchMLOpsDockerAI/ML algorithmsGenerative AI
Soft Skills
communicationleadershipteam managementcollaborationautonomyadaptabilitytechnical presentationstakeholder engagementproblem-solvingscientific writing
Certifications
BSc in Machine LearningBSc in Data ScienceBSc in Computer ScienceBSc in Mathematics