Hybrid Data Scientist—Audience Analytics & ML

BBC Group and Public Services; Greater London; Hybrid; GBP 40,000 - 50,000; Full time

Benefits offered by this job

Flexible hours

25 days annual leave

Pension scheme

Health care discounts

Hybrid work

Job summary

BBC Group and Public Services is seeking a Data Scientist to join the CCOG Audiences Data team in London or Salford, hybrid (2 days in the office on average). You will develop statistical and machine learning models to understand audience behaviour, support measurement, and inform strategic decisions across the BBC, working with diverse data sources and collaborating with engineers and researchers.

The role offers flexible working discussions at offer stage and opportunities to develop skills

Qualifications

• Advanced degree in statistics, mathematics, CS or related field.
• Strong analytical skills with experience applying data science techniques to business problems.
• Understanding of statistical inference, experimental design and causal reasoning.
• Proven ability to communicate analytical findings to stakeholders.
• Proficient Python or R with version control and strong SQL skills.

Responsibilities

• Apply statistical and machine learning techniques to understand audience behaviour and answer business questions.
• Contribute to the design, development and evaluation of analytical models, collaborating with senior data scientists and engineers.
• Develop reproducible workflows using SQL, Python or R on our data and ML platform.

Skills

Statistical modeling

Machine learning

Python

SQL

R

Education

Master's degree in Statistics

Tools

Git

Python (pandas)

R (tidyverse)

Job description

BBC Group and Public Services is seeking a Data Scientist to join the CCOG Audiences Data team in London or Salford, hybrid (2 days in the office on average). You will develop statistical and machine learning models to understand audience behaviour, support measurement, and inform strategic decisions across the BBC, working with diverse data sources and collaborating with engineers and researchers.

The role offers flexible working discussions at offer stage and opportunities to develop skills