Data Solution Architect – AI-Driven Risk Analytics (Hybrid)

Willis Towers Watson; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global advisory firm in London is seeking a Data Analyst/Solution Architect to drive solutions for Corporate Risk and Broking data challenges. This role focuses on developing predictive models, integrating client applications, and managing stakeholder relationships. Candidates should have a Bachelor's or Master's in data science, with skills in data analytics, machine learning, and proficiency in Python and SQL. The position offers a hybrid work model and an excellent benefits package.

Benefits

25 days of annual leave plus one extra day

Private healthcare

Life insurance

Matched pension contributions up to 10%

Wellbeing programs

Electric vehicle car scheme

Qualifications

• Experience in data analytics, machine learning, or predictive modeling.
• Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow).
• Knowledge of corporate risk and broking (R&B) industry.

Responsibilities

• Collaborate with product owners and engineers to develop solutions for data-related challenges.
• Develop predictive models for broking and revenue forecasting using corporate platforms.
• Analyze CRB data to generate actionable insights for stakeholders.
• Monitor application performance and data flows.

Skills

Data analytics

Machine learning

Predictive modeling

Python

SQL

Data visualization

Stakeholder management

Problem-solving

Communication

Education

Bachelor's or master's degree in data science, Statistics, Computer Science, or related field

Tools

Microsoft Azure

Tableau

Power BI

Job description

A leading global advisory firm in London is seeking a Data Analyst/Solution Architect to drive solutions for Corporate Risk and Broking data challenges. This role focuses on developing predictive models, integrating client applications, and managing stakeholder relationships. Candidates should have a Bachelor's or Master's in data science, with skills in data analytics, machine learning, and proficiency in Python and SQL. The position offers a hybrid work model and an excellent benefits package.