Hybrid Statistical Data Scientist - ML & Impact in London

Oritain; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

35 days paid leave

Birthday off

Enhanced parental leave

Life insurance

Healthcare cash plan

EAP

Pension

Wellbeing allowance

Office coffee and snacks

Job summary

Oritain is seeking a Statistical Data Scientist to build statistical models and ML methods behind our origin-verification science. You will deploy models into live products and workflows, partnering with scientists, engineers and business stakeholders to turn data into tangible solutions.

You'll shape analytics across the organisation, contribute to product growth, and work in a fast‑growing team where ownership and ideas are encouraged.

Qualifications

• A degree in Statistics, Mathematics, Machine Learning, Data Science or a related field (postgraduate study preferred).
• A minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real-world problems.
• Solid grounding in probability, statistics, uncertainty, linear algebra and calculus.
• Experience with large datasets, data transformation and cleaning.
• Experience with classification, clustering, dimension reduction and other machine learning methods.
• Experience using Python and R to develop and deploy models in cloud environments (Azure experience is advantageous).
• Understanding of machine learning lifecycles and MLOps principles.
• Experience with databases, APIs and collaborative development tools.
• Sharp problem-solving and analytical skills, with attention to detail and sound judgement.
• Confident communication skills, including the ability to explain technical concepts to non-technical audiences.
• An open, curious and learning-oriented approach, with a commitment to doing great work.

Responsibilities

• Collect, clean and process data from a range of sources.
• Build statistical models and machine learning algorithms that turn data into decisions.
• Develop and deploy predictive models to solve operational and commercial challenges.
• Build visualisations, dashboards and analytical tools that make insight easy to use.
• Work closely with cross-functional teams to embed analytical solutions into existing products and workflows.
• Evaluate and improve modelling approaches using rigorous quantitative assessment.
• Track developments in statistics and data science and bring the useful ones into our analytics.
• Provide expert guidance on data science initiatives across the organisation.

Skills

Statistical modelling

Machine learning

Python

R

Azure

Databases

Data cleaning

Big data

Problem solving

Communication

MLOps

Education

Statistics/Mathematics/Data Science degree

Tools

VS Code

Conda

GitHub

Unix/Linux

APIs

Job description

Oritain is seeking a Statistical Data Scientist to build statistical models and ML methods behind our origin-verification science. You will deploy models into live products and workflows, partnering with scientists, engineers and business stakeholders to turn data into tangible solutions.

You'll shape analytics across the organisation, contribute to product growth, and work in a fast‑growing team where ownership and ideas are encouraged.