Staff Data Scientist, EMEA

Airwallex; Camden Town; On-site; GBP 75,000 - 100,000; Full time

Job summary

A dynamic financial technology company in the UK is seeking a senior data professional to partner closely with executives and lead data-driven initiatives. The ideal candidate will have over 7 years of experience, expertise in causal inference methods, and proficiency in SQL and Python. This role offers the opportunity to influence business strategy and mentor junior team members in a fast-paced environment.

Qualifications

• 7+ years industry experience in a quantitative field.
• Track record of working with executive-level stakeholders.
• Mentoring experience for junior team members.

Responsibilities

• Be the go-to data partner for the Head of EMEA.
• Align metric definitions/dimensions across the business.
• Leverage AI to generate insights and improve efficiency.
• Lead forecasting efforts using advanced statistical methods.
• Scope and build data products, including MVPs.

Skills

Causal inference methods

Data querying languages (SQL)

Scripting languages (Python, R)

Excellent communication skills

Education

PhD or MS in a quantitative field

Tools

Databricks

Airflow

dbt

Excel

Job description

Responsibilities

• Be the go-to data partner for the Head of EMEA


• Partner with Sales, Marketing, Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business


• Use causal inference methods to understand how macroeconomic events impact the business.


• Leverage AI to generate insights and improve business and team efficiency.


• Lead Airwallex's forecasting efforts by 1) building tools that aggregate and evaluate forecasts 2) applying advanced statistical methods to build your own forecasts.


• Scope and build data products. In some cases building MVPs, and in others, fully fleshed out solutions.


• Mentor junior team members and cultivate an environment grounded in technical excellence, clear communication, and proactive critical thinking.

Qualifications

• 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)


• Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy.


• Expertise in causal inference methods and forecasting.


• Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R).


• Experience with data architecture technologies such as Airflow, Databricks, and dbt.

Preferred qualifications

• Experience in technology, financial services and/or a high growth environment.


• Experience with Excel and Finance systems (e.g. Oracle).