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Lead Data Scientist

16 hours, 31 minutes ago
United Kingdom
Full-time
Lead
Data Scientist
Data Science and Analytics
Feature Engineering Machine Learning MLOps Neural Networks NumPy Pandas Python PyTorch Scikit-learn SQL Statistics TensorFlow
Apply Now
Brego

Brego

Brego: AI tech company revolutionizing automotive finance with accurate valuations and bespoke tooling.

Internet Software & Services
1-10
Founded 2019
$0M raised
View All Jobs

Description

  • Own the full lifecycle of production machine learning models from problem definition through deployment and ongoing optimisation.
  • Design, build, and deploy artificial neural network and machine learning models for vehicle valuation, pricing, and analytics.
  • Take responsibility for production model performance, reliability, and long-term maintenance.
  • Evaluate model performance and improve predictive accuracy across production models.
  • Develop and maintain automated retraining pipelines to keep models effective over time.
  • Monitor deployed models, investigate issues, and implement improvements to ensure accuracy and reliability.
  • Design and run experiments, track results, and use data to drive model improvements.
  • Work closely with engineering and product teams to integrate models into production systems and deliver business value.

Requirements

  • 5+ years of experience building and deploying machine learning models in production environments.
  • Strong experience developing and training neural networks for real-world applications.
  • Strong experience with the Python data science ecosystem, including pandas, NumPy, and scikit-learn.
  • Hands-on experience with PyTorch or TensorFlow.
  • Strong understanding of machine learning, statistics, and model evaluation methodologies.
  • Experience taking machine learning models from concept through deployment and ongoing production ownership.
  • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking.
  • Experience with feature engineering and working with large, real-world datasets.
  • Experience writing clean, maintainable, production-quality Python code.
  • Experience with SQL for data analysis and data manipulation.
  • Experience deploying ML workloads in cloud environments.
  • Ability to independently own technical projects and make sound engineering decisions with minimal supervision.
  • Strong problem-solving skills with the ability to investigate complex data and modelling challenges.
  • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
  • Experience collaborating with software engineers, product managers, and data engineers.
  • Eligible to work in the UK.
  • Experience in the automotive industry or with vehicle data (nice to have).
  • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains (nice to have).
  • Experience with MLOps tooling and infrastructure (nice to have).
  • Experience building automated data and model pipelines (nice to have).
  • Experience mentoring or providing technical leadership to other data scientists or engineers (nice to have).

Benefits

  • Competitive salary of £90,000 - £110,000 per year, depending on experience.
  • Private healthcare.
  • Pension scheme.
  • Fully remote role with flexible working hours.
  • Working from home allowance.
  • Choice of Apple MacBook Pro or high-spec Windows workstation.
  • Learning and progression opportunities.
  • Optional access to the Silverstone office, with attendance entirely optional.
  • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy.
  • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity, and innovation.
  • Regular company social events.
  • 25 days annual leave plus 3 additional days between Christmas and New Year.

Interested in this position?

Apply directly on the company website

Apply Now

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