3 of 3 Exploratory Data Analysis Jobs in London

Senior Data Scientist

Hiring Organisation
Harnham
Location
City of London, London, United Kingdom
Senior Data Scientist London – (3 days a week in office) Up to £90,000 About the Role Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery … build and deploy advanced analytics solutions that have real-world impact. As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make ...

Data Scientist

Hiring Organisation
Provide
Location
Heathrow, Hounslow, Middlesex, England, United Kingdom
Employment Type
Contractor
Contract Rate
Competitive salary
Data Scientist – MRO AI Solutions (Embedded in Operations) Role Purpose We are seeking a highly skilled Data Scientist to develop advanced AI and ML models that unlock operational value within a major corporation's maintenance, repair, and operations (MRO) function. The role requires the ability to translate complex … data insights into actionable business outcomes and create solutions that can be adapted across multiple operational entities globally. Key Responsibilities Design and implement predictive and prescriptive models to optimize MRO operations. Perform exploratory data analysis, feature engineering, and model validation. Collaborate with data engineering teams ...

Machine Learning Engineer

Hiring Organisation
DXC
Location
City of London, London, United Kingdom
Employment Type
Permanent
thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build … manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives ...