Location
Glasgow, UK
Experience
Minimum of 5 - 7 years of experience
Required Skills
Snowflake and/or Databricks is a must - hands on experience.
Overview
This role will be key to helping our divisional leadership to make informed, data-driven decisions by developing a sophisticated, scalable and explainable decision model to aid workforce planning. The ideal candidate will have deep expertise in data science, analytics and systems thinking, with a proven ability to work across different businesses. This is a high-impact role with the work output visible at the executive level.
Key Responsibilities
* Design & Architecture: Lead design for decision support model from formation through to deployment. Define model framework that balances predictive accuracy with interoperability and usability.
* Data Integration & Engineering: Partner with other teams to source, cleanse, and prepare datasets for structured use.
* Model Development: Apply statistical, machine learning or optimization techniques to develop a robust decision support system; simulate scenarios, perform sensitivity analysis, create “what-if” tools.
* Business Analysis: Translate business requirements into analytic frameworks and technical solutions, ensuring alignment with strategic goals.
* Data Visualisation & Communication: Build dashboards, reports or interactive tools that clearly communicate model outputs and decision recommendations for executive levels.
* Governance & Monitoring: Align with governance practices including model risk management, validation, versioning, performance tracking and recalibration; establish KPIs to measure impact.
Qualifications
* Minimum of 5 - 7 years in data science, analytics, operational research or related field.
* Snowflake and/or Databricks hands‑on experience.
* Advanced degree in a quantitative field (e.g., Data Science, Engineering, Mathematics).
* Data Modelling: Ability to build methodology with statistical techniques and scale/automate.
* Industry Expertise: Experience across diverse sectors such as Banking, Insurance, and Consultancy, focusing on Data Analytics and Insights.
* Stakeholder Engagement: Adept at translating analytical findings into actionables for various stakeholders.
* Project Management: Proficient in managing end‑to‑end analytics projects, leading initiatives for customer journeys and data‑driven decisions.
* Technical Proficiency: Skilled in SQL, GCP BigQuery, Adobe Analytics, Tableau, Power BI, Python, ensuring data quality in projects.
* Commercial Analytics: Engaged in projects to understand impact on revenue, automated reporting, and improved efficiency using SQL, SAS, Alteryx.
* Data Quality & Governance: Ensured compliance with regulatory guidelines and addressed data gaps.
Seniority Level
Mid–Senior level
Employment Type
Contract
Job Function
Information Technology
Industries
Banking, Investment Banking, and Financial Services
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