TL;DR

Assistant Manager Marketing Analytics (Marketing): Developing and maintaining attribution machine learning models and analyzing marketing campaign performance across digital, CRM, and ATL channels with an accent on data-driven marketing strategy and actionable insights. Focus on building and deploying ML models, translating complex data into clear recommendations, and supporting marketing mix modelling projects.

Location: Hybrid – at least two days per week at hubs in Bristol, Leeds, Halifax, Edinburgh, or Chester within the United Kingdom

Salary: £47,790 – £53,100 per annum

Company

%hirify_global% is a leading UK financial services group focused on building strong, inclusive, and sustainable brands that enhance customer experience and drive growth.

What you will do

Develop and maintain attribution machine learning models to assess channel performance.
Analyze campaign performance across digital, CRM, and ATL channels to identify trends and opportunities.
Translate complex data into clear, actionable insights and recommendations for marketing stakeholders.
Present findings to both technical and non-technical audiences.

Requirements

Location: Hybrid work with at least 40% time spent at UK hubs (Bristol, Leeds, Halifax, Edinburgh, Chester)
1–2 years hands-on Python development experience in data science or ML contexts.
Proficiency with Python libraries (Pandas, NumPy, Scikit-Learn) and testing frameworks (e.g., PyTest).
Familiarity with CI/CD pipelines, deploying ML models into production, and monitoring performance.
Understanding of digital attribution techniques (last-click, linear, time decay, multi-touch).
Experience in marketing or performance analytics.

Nice to have

Experience with Google Analytics (GA4), Adobe Analytics, SQL, Excel, BigQuery, Power BI, Looker, GCP, Vertex AI.

Culture & Benefits

Generous pension contribution up to 15% and annual performance-related bonus.
Share schemes including free shares.
28 days holiday plus bank holidays.
Wellbeing initiatives and generous parental leave policies.
Commitment to diversity, equity, and inclusion with workplace adjustments and Disability Confident Leader status.