Senior Applied Data Scientist - 12-Month Contract

dunnhumby

Greater London

Hybrid

GBP 50,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Flexible working hours
Birthday off

Job summary

A leading customer data science firm in the UK seeks a Senior Applied Data Scientist for a 12-month Fixed-Term Contract. The ideal candidate will apply advanced data science techniques to deliver actionable insights and impactful solutions for major clients. Key responsibilities include developing sophisticated applications, collaborating with stakeholders, and communicating complex concepts clearly. Strong programming skills in Python and SQL are essential, alongside a quantitative degree. Enjoy competitive rewards, flexible working hours, and a commitment to diversity and inclusion.

Qualifications

  • Degree in a quantitative field crucial for statistical analysis.
  • Proven experience applying data science solutions in real-world scenarios.
  • Strong programming expertise in Python and SQL necessary.

Responsibilities

  • Investigate and develop sophisticated applications for data analysis.
  • Collaborate with cross-functional teams to deliver measurable impact.
  • Implement machine learning techniques to solve client problems.

Skills

Strong programming skills — Python
SQL
PySpark experience
Statistical modeling
Problem-solving abilities
Communication skills
Stakeholder management

Education

Degree in Statistics, Mathematics, Physics, Economics, or a related field

Job description

A leading customer data science firm in the UK seeks a Senior Applied Data Scientist for a 12-month Fixed-Term Contract. The ideal candidate will apply advanced data science techniques to deliver actionable insights and impactful solutions for major clients. Key responsibilities include developing sophisticated applications, collaborating with stakeholders, and communicating complex concepts clearly. Strong programming skills in Python and SQL are essential, alongside a quantitative degree. Enjoy competitive rewards, flexible working hours, and a commitment to diversity and inclusion.
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