Lead Statistical Data Scientist – Origin Verification

Oritain; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

35 days leave

Birthday off

Enhanced parental leave

Life insurance

Healthcare plan

EAP

Pension

Wellbeing allowance

Breakfast & coffee

Job summary

Oritain is seeking a Lead Statistical Data Scientist to provide technical leadership for statistics and machine learning, guiding projects and shaping the data science capability. You’ll mentor other data scientists and collaborate with science, engineering, product, and commercial teams to deliver real-world impact.

The role offers ownership, influence, and a clear path to scale data science across the organization, with hybrid work options in London and global collaboration across offices.

Qualifications

• 8+ years of industry experience applying statistics and ML to real-world problems.
• Advanced academic training in Statistics, Mathematics, ML, Data Science or related field (PhD preferred).
• Strong programming capability and experience writing maintainable code in collaborative environments.

Responsibilities

• Provide technical leadership across statistical and machine learning projects.
• Mentor and support other data scientists, raising capability across the team.
• Lead a high-performing team that delivers meaningful outcomes and contributes to culture.
• Partner with stakeholders to understand problems, develop solutions and assess business impact.
• Create visualisations, dashboards and reporting tools that communicate insight clearly.
• Work with large and complex datasets and embed data science into products and processes.

Skills

Python

R

GitHub

VS Code

Conda

Cloud platforms

Statistics

Machine learning

Mentoring

Communication

Education

PhD preferred

Job description

Oritain is seeking a Lead Statistical Data Scientist to provide technical leadership for statistics and machine learning, guiding projects and shaping the data science capability. You’ll mentor other data scientists and collaborate with science, engineering, product, and commercial teams to deliver real-world impact.

The role offers ownership, influence, and a clear path to scale data science across the organization, with hybrid work options in London and global collaboration across offices.