Data Solution Architect

London - UK

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

Reporting into Tech Data Leadership this role is pivotal in driving solutioning around Corporate Risk and Broking (CRB) data challenges and developing insights through advanced analytics and AI developing predictive models and client applications to support risk and broking. The Data Analyst / Solution Architect actively manages stakeholder relationships ensuring that business needs are translated into actionable data solutions. A key focus is on tracing and documenting data lineage across systems guaranteeing transparency compliance and trust in all data-driven initiatives. The role balances analytics and model development with client application integration operating as a bridge between technical teams and business stakeholders to deliver impactful high-quality solutions.

Responsibilities:

Analytics & Model Development Creating Insights Ensuring Data Lineage

Collaborate closely with product owners engineers and business stakeholders to develop solutions to data related challenges and ensure solutions align with business needs and priorities.

Develop predictive models for broking and revenue forecasting using corporate platforms (e.g. Python scikit-learn TensorFlow).

Analyze CRB data (e.g. client portfolios market feeds) to generate actionable insights for business stakeholders.

Build revenue models to optimize R&B financial outcomes.

Trace and document data lineage across all relevant systems ensuring data sources transformations and usage are transparent and auditable.

Ensure model accuracy robustness and compliance through rigorous testing and validation.

Client Application Integration Enabling AI-Driven Solutions

Develop AI-integrated client applications (e.g. automated broking tools) for R&B workflows

Work with engineers to integrate models into data products and dashboards

Support data presentation efforts ensuring insights are actionable for brokers/advisors

Monitor application performance incorporating feedback for improvements

Foster strong stakeholder relationships by gathering feedback incorporating user needs and driving continuous improvement.

Monitor application performance and data flows proactively addressing issues related to data quality lineage and user experience.

Responsibilities

The Role:

Analytics & Model Development ( 70%) Creating Insights Ensuring Data Lineage:

Collaborate closely with product owners engineers and business stakeholders to develop solutions to data

related challenges and ensure solutions align with business needs and priorities.

Develop predictive models for broking and revenue forecasting using corporate platforms (e.g. Python scikit

learn TensorFlow).

Analyze CRB data (e.g. client portfolios market feeds) to generate actionable insights for business

stakeholders.

Build revenue models to optimize R&B financial outcomes.

Trace and document data lineage across all relevant systems ensuring data sources transformations and usage are transparent and auditable.

Ensure model accuracy robustness and compliance through rigorous testing and validation.

Client Application Integration ( 30%) Enabling AI-Driven Solutions:

Develop AI-integrated client applications (e.g. automated broking tools) for R&B workflows

Work with engineers to integrate models into data products and dashboards

Support data presentation efforts ensuring insights are actionable for brokers/advisors

Monitor application performance incorporating feedback for improvements

Foster strong stakeholder relationships by gathering feedback incorporating user needs and driving continuous improvement.

Monitor application performance and data flows proactively addressing issues related to data quality lineage and user experience

Qualifications

The Requirements:

Bachelors or masters 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 (e.g. scikit-learn TensorFlow)

Familiarity with Microsoft Azure/Fabric for data processing

Knowledge of corporate risk and broking (R&B) industry

Experience developing AI-driven applications or models

Skills in data visualization (e.g. Tableau Power BI)

Ability to work in agile environments with cross-functional teams

Strong analytical and problem-solving skills for complex datasets

Proven delivery on analytics or AI projects

Ability to communicate insights and technical concepts to non-technical stakeholders

Strong communication and stakeholder management skills.

Enjoy a benefits package designed to help you thrive both professionally and personally. Youll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare life insurance group income protection and regular health assessments all giving you peace of mind. Secure your future with our defined contribution pension scheme featuring matched contributions up to 10% from the company.

We support your growth and balance with hybrid working options access to an employee assistance programme and a fully paid volunteer day to make a difference in your community. On top of these you can opt into a variety of additional perks including an electric vehicle car scheme share scheme cycle-to-work programme dental and optical cover critical illness protection and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you.

At WTW we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.

Were committed to equal employment opportunity and provide application interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers from the application process through to joining WTW please email .

Required Experience:

Staff IC

DescriptionReporting into Tech Data Leadership this role is pivotal in driving solutioning around Corporate Risk and Broking (CRB) data challenges and developing insights through advanced analytics and AI developing predictive models and client applications to support risk and broking. The Data Anal...