Data Scientist

Korn Ferry; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company is seeking a Data Scientist to design and deploy machine learning solutions, analyze datasets, and collaborate with cross-functional teams. This role requires proficiency in Python and the full machine learning lifecycle, including deployment and monitoring of models. The successful candidate will enhance current systems through research and application of emerging techniques.

Qualifications

• Experience in developing machine learning models that deliver measurable impact.
• Understanding of the full ML lifecycle: analysis, prototyping, deployment, and monitoring.
• Hands-on experience deploying models into live systems.

Responsibilities

• Design and implement ML-based solutions from development to deployment.
• Analyze complex datasets for trends and insights.
• Collaborate with teams to enhance workflows and communicate findings.

Skills

Data Science

Machine Learning

Python

Data Analysis

Statistical Techniques

Tools

pandas

scikit-learn

PyTorch

TensorFlow

Docker

Job description

Please Note, you must onlyhold a British passport, and you must hold DV Clearance with the MoD (not DWP, Home Office etc)

As a Data Scientist, you will:

• Design, develop, and test solutions to collect, integrate, and prepare data for advanced analytics and machine learning applications.
• Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes.
• Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.
• Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.
• Deploy models into production environments, handling the integration and operationalisation of ML within wider systems and applications.
• Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation.
• Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams.
• Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.
• Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.
• Ensure all data science and ML practices adhere to relevant ethical standards, policies, and governance frameworks.
• Provide technical guidance and mentorship on ML implementation across cross-functional teams.

About You

• You have a strong foundation in data science, analytics, or machine learning, with hands-on experience developing models that solve practical problems and deliver measurable impact.
• You are comfortable working across the full machine learning lifecycle – from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring.
• You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings.
• You have deployed models into live systems and understand how to make ML operational – whether that means working with APIs, integrating into existing applications, or using containerisation tools like Docker.
• You actively monitor the performance of deployed models, and are experienced in identifying drift, re-training triggers, or opportunities for optimisation.