Senior Data Scientist: BAU Analytics Lead (Hybrid)

EF Recruitment; Greater London; Hybrid; GBP 70,000 - 110,000; Part time

Benefits offered by this job

Hybrid working (3 days in office)

Award winning work environment

Global Organisation

Free breakfast

Job summary

EF Recruitment seeks a Senior Data Scientist for a 6-month contract with hybrid work arrangement. You will own international analytics across the UK and Canada, maintaining revenue dashboards, models, and regulatory reporting.

You will collaborate with product, marketing, engineering, and compliance while driving end-to-end analytics BAU. The role requires hands-on expert in production ML, SQL, Python or R, and experience with Looker, Airflow, and Google Cloud.

Qualifications

• 5+ years of experience leading data science/analytics, incl. BAU
• Strong SQL and Python or R with ability to read/maintain code
• Hands-on production ML maintenance: refresh, retrain, monitor, troubleshoot
• Knowledge of Looker, Airflow, and Google Cloud
• Advanced quantitative degree or equivalent experience

Responsibilities

• Monitor international revenue baseline UK/CA; investigate anomalies and warn on movements
• Support partner monitoring and admin tasks; lookalike and recommender changes
• Run email campaign performance monitoring; anomaly investigation and churn analysis
• Support experimentation: monitor experiments and promotions
• Represent analytics in forums and business reviews; translate tech for partners
• Maintain production models: refresh, retraining, redeploys; keep healthy
• Hand over models/pipelines with monitoring/docs to permanent team at contract close

Skills

5+ years in data science

SQL

Python

R

Production ML

Looker

Airflow

Google Cloud

Education

Advanced degree in a quantitative discipline

Job description

EF Recruitment seeks a Senior Data Scientist for a 6-month contract with hybrid work arrangement. You will own international analytics across the UK and Canada, maintaining revenue dashboards, models, and regulatory reporting.

You will collaborate with product, marketing, engineering, and compliance while driving end-to-end analytics BAU. The role requires hands-on expert in production ML, SQL, Python or R, and experience with Looker, Airflow, and Google Cloud.