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Principal Data Scientist
Principal Data Scientist
Principal Data Scientist
Posted 7 days ago
- London, Greater London
- Any
- External
Principal Data Scientist
London (Hybrid)
Salary: £100,000 - £150,000 GBP + equity
We are hiring multiple data positions including a Principal Machine Learning Scientist with a sharp focus on optimisation. In this role, you’ll lead the charge in merging cloud infrastructure, DevOps, and machine learning to create and deploy advanced optimization models across diverse industries. Your expertise will drive our technological evolution, enhancing our product offerings and solving complex challenges at scale.
Discover the Responsibilities:
Develop Scalable Optimization Solutions:
Design robust optimization solutions that significantly improve efficiency using the latest in machine learning and operations research.
Prototype to Production:
Transition optimization model prototypes into fully integrated, scalable applications that deliver real business impact.
Drive Business Insights:
Use optimization models to generate actionable insights, driving strategic decisions and communicating them effectively to stakeholders.
Optimization Specialization:
Develop cutting-edge algorithms to solve complex problems in logistics, scheduling, resource allocation, and more.
Ensure Data Integrity:
Conduct thorough data audits to power effective optimization solutions.
Discover the Qualifications:
Advanced Expertise:
Master’s degree (or equivalent) in Operations Research, Computer Science, Engineering, or related field with a strong focus on optimization.
Proven Experience:
5-7+ years in quantitative analytics, data modeling, or operations research, with deep knowledge of optimization techniques.
Technical Skills:
Proficient in Python, SQL, and optimization libraries (e.g., PuLP, Gurobi, CPLEX).
Preferred Qualifications:
Leadership in Optimization:
Experience leading complex optimization projects, mentoring teams, and managing cross-functional initiatives.
Machine Learning Integration:
Expertise in integrating optimization with machine learning techniques (e.g., TensorFlow, PyTorch).
Cloud and MLOps:
Familiarity with deploying and managing models on cloud platforms (AWS, GCP, Azure) and using MLOps tools (MLFlow, BentoML).
Ethical AI:
Strong understanding of AI ethics in optimization and a commitment to continuous learning.
If you are looking for a fast paced progressive role, where you will be working with a very strong team of talented Data & AI professionals then Apply Now to be considered.
London (Hybrid)
Salary: £100,000 - £150,000 GBP + equity
We are hiring multiple data positions including a Principal Machine Learning Scientist with a sharp focus on optimisation. In this role, you’ll lead the charge in merging cloud infrastructure, DevOps, and machine learning to create and deploy advanced optimization models across diverse industries. Your expertise will drive our technological evolution, enhancing our product offerings and solving complex challenges at scale.
Discover the Responsibilities:
Develop Scalable Optimization Solutions:
Design robust optimization solutions that significantly improve efficiency using the latest in machine learning and operations research.
Prototype to Production:
Transition optimization model prototypes into fully integrated, scalable applications that deliver real business impact.
Drive Business Insights:
Use optimization models to generate actionable insights, driving strategic decisions and communicating them effectively to stakeholders.
Optimization Specialization:
Develop cutting-edge algorithms to solve complex problems in logistics, scheduling, resource allocation, and more.
Ensure Data Integrity:
Conduct thorough data audits to power effective optimization solutions.
Discover the Qualifications:
Advanced Expertise:
Master’s degree (or equivalent) in Operations Research, Computer Science, Engineering, or related field with a strong focus on optimization.
Proven Experience:
5-7+ years in quantitative analytics, data modeling, or operations research, with deep knowledge of optimization techniques.
Technical Skills:
Proficient in Python, SQL, and optimization libraries (e.g., PuLP, Gurobi, CPLEX).
Preferred Qualifications:
Leadership in Optimization:
Experience leading complex optimization projects, mentoring teams, and managing cross-functional initiatives.
Machine Learning Integration:
Expertise in integrating optimization with machine learning techniques (e.g., TensorFlow, PyTorch).
Cloud and MLOps:
Familiarity with deploying and managing models on cloud platforms (AWS, GCP, Azure) and using MLOps tools (MLFlow, BentoML).
Ethical AI:
Strong understanding of AI ethics in optimization and a commitment to continuous learning.
If you are looking for a fast paced progressive role, where you will be working with a very strong team of talented Data & AI professionals then Apply Now to be considered.