Data Scientist: Engineering Risk & Predictive Analytics

CEERISK Consulting Ltd; Kingston upon Thames; Presencial; GBP 60.000 - 85.000; Jornada completa

Descripción de la vacante

CEERISK Consulting Ltd, Kingston Upon Thames, is seeking a Data Scientist to collect, clean, and analyze both structured and unstructured data to support engineering risk assessments and decision-making.

You will build statistical and machine learning models, develop predictive analytics, and translate insights into clear client recommendations. The role emphasizes data visualization, cross-disciplinary collaboration, and maintaining high data quality.

Formación

• Strong foundation in Data Science and Data Analytics to design, implement, and evaluate data-driven solutions.
• Proficiency in Statistics and Data Analysis for building robust models and performing rigorous quantitative assessments.
• Experience with Data Visualization to present complex findings clearly to technical and non-technical stakeholders.
• Relevant experience with programming languages and tools commonly used in data science (e.g., Python, R, SQL, modern BI tools).
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Ability to work collaboratively in a multidisciplinary environment and communicate technical concepts effectively.
• Knowledge of engineering, construction, or energy domains, and familiarity with risk assessment methodologies, is an advantage.
• Strong problem-solving skills, attention to detail, and commitment to maintaining high data quality and integrity.

Responsabilidades

• Collect, clean, and analyze structured and unstructured data to support risk assessments and decision-making.
• Build statistical and machine learning models, develop predictive analytics.
• Translate complex data insights into clear recommendations for consultants and clients.
• Create data visualizations and reports; collaborate with multidisciplinary teams on risk studies.
• Contribute to development of tools and methodologies that improve hazard identification and loss prevention.
• Maintain data quality and document analytical processes; stay current with relevant technologies and standards.

Conocimientos

Statistics and Data Analysis

Data Visualization

Programming (Python, R, SQL)

Multidisciplinary Collaboration

Communication of technical concepts

Attention to detail

Data quality & integrity

Problem solving

Educación

Bachelor’s or Master’s degree in Data Science/Engineering/CS

Herramientas

Python

R

SQL

BI tools

Descripción del empleo

CEERISK Consulting Ltd, Kingston Upon Thames, is seeking a Data Scientist to collect, clean, and analyze both structured and unstructured data to support engineering risk assessments and decision-making.

You will build statistical and machine learning models, develop predictive analytics, and translate insights into clear client recommendations. The role emphasizes data visualization, cross-disciplinary collaboration, and maintaining high data quality.