Hybrid Data Solution Architect - AI for Risk Analytics

WTW; City Of London; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading international consulting firm based in London is seeking a Data Analyst / Solution Architect to drive solutions for Corporate Risk and Broking data challenges. The role involves managing stakeholder relationships, documenting data lineage, and developing predictive models. Candidates should possess a strong background in data science, analytics, and communication skills, with opportunities for hybrid working and a comprehensive benefits package including health care, pension contributions, and additional perks tailored to personal growth.

Benefits

25 days of annual leave plus an extra WTW day

Private healthcare

Life insurance

Pension scheme with matched contributions up to 10%

Employee assistance programme

Electric vehicle car scheme

Share scheme

Cycle-to-work programme

Dental and optical cover

Qualifications

• Bachelor's or master's degree in data science, Statistics, Computer Science, or related field.
• Experience in data analytics, machine learning, or predictive modeling.
• Proficiency in Python, R, SQL, and ML frameworks.

Responsibilities

• Drive solutioning around Corporate Risk and Broking data challenges.
• Manage stakeholder relationships to translate business needs into actionable data solutions.
• Trace and document data lineage across systems.

Skills

Data analytics

Machine learning

Predictive modeling

Python

R

SQL

Data visualization (Tableau, Power BI)

Stakeholder management

Analytical skills

Problem-solving

Education

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

Tools

Microsoft Azure/Fabric

ML frameworks (scikit-learn, TensorFlow)

Job description

A leading international consulting firm based in London is seeking a Data Analyst / Solution Architect to drive solutions for Corporate Risk and Broking data challenges. The role involves managing stakeholder relationships, documenting data lineage, and developing predictive models. Candidates should possess a strong background in data science, analytics, and communication skills, with opportunities for hybrid working and a comprehensive benefits package including health care, pension contributions, and additional perks tailored to personal growth.