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Applied Statistics & Experimentation Trainer

Bloomberg

Greater London

On-site

GBP 50,000 - 70,000

Full time

Today
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Job summary

A leading financial data provider in the UK is seeking a Data Training Specialist to design and deliver training on data analytics and experimental design. This role involves collaborating across teams to develop training materials, conduct hands-on labs and maintain the highest standards for data quality. The ideal candidate will have significant experience in data analytics, proficiency in Python or R, and a strong ability to convey complex concepts to diverse audiences. A passion for continuous learning and engagement with professional communities is essential.

Benefits

Continuous learning opportunities
Collaborative team culture

Qualifications

  • 3+ years experience in data analytics or statistics.
  • Strong foundation in experimental design and statistical inference.
  • Ability to communicate complex topics to varied audiences.

Responsibilities

  • Design and deliver training on applied experimentation.
  • Build a curriculum on A/B testing and hypothesis testing.
  • Create hands-on labs for real dataset experimentation.

Skills

Data analytics
Experimental design
Statistical analysis in Python or R
Project management
Communication
Mentoring or teaching
Problem-solving

Education

Bachelor's degree in Computer Science, Engineering, Data Science or related field

Tools

Python
R
SQL
Pandas
Airflow
Spark
Job description
A leading financial data provider in the UK is seeking a Data Training Specialist to design and deliver training on data analytics and experimental design. This role involves collaborating across teams to develop training materials, conduct hands-on labs and maintain the highest standards for data quality. The ideal candidate will have significant experience in data analytics, proficiency in Python or R, and a strong ability to convey complex concepts to diverse audiences. A passion for continuous learning and engagement with professional communities is essential.
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