Data Scientist
@ Pay.UK

London, England, United Kingdom
On Site
Posted 2 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @pay.uk
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Job Details

Data Scientist at Pay.UK

Join Pay.UK as a Data Scientist and contribute to enhancing data science, machine learning, AI, and predictive analytics platforms in London. In this permanent role, you will build predictive models, provide quantitative analysis, and uncover trends using advanced techniques.

Key Accountabilities

  • Utilize Big Data technologies for analytical insight delivery.
  • Develop predictive models and apply statistical techniques.
  • Automate data collection, analysis, and market research.
  • Analyze geo-demographic and transactional data for insights.
  • Present findings and influence business strategies.
  • Maintain industry best practices in data science and governance.

Qualifications, Skills and Experience

Candidates should hold a STEM degree or equivalent and have professional experience in data science using Python or R, SQL, and BI tools such as Power BI or Tableau. Familiarity with Big Data, cloud environments, and the UK payments landscape is essential.

Benefits & Additional Information

  • 12% Non-contributory pension
  • Discretionary annual bonus
  • 30 days annual leave (excluding bank holidays)
  • Private medical insurance and other health benefits
  • Employee assistance programme and cycle to work scheme
  • Hybrid work arrangement with minimum 40% in office

About Pay.UK

Pay.UK maintains and develops the UK retail payment systems ensuring safe and innovative financial transactions nationwide. The organization underpins essential banking services with high standards and transparency.

Key skills/competency

  • Data Science
  • Machine Learning
  • Predictive Analytics
  • Big Data
  • Statistical Analysis
  • Python
  • R
  • SQL
  • BI Tools
  • Data Governance
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How to Get Hired at Pay.UK

🎯 Tips for Getting Hired

  • Research Pay.UK's culture: Study their mission, values, and news.
  • Customize your resume: Highlight data science and ML experience.
  • Showcase technical skills: Detail Python, R, SQL expertise.
  • Prepare for interviews: Emphasize predictive modelling and analytics.

📝 Interview Preparation Advice

Technical Preparation

Review Python and R libraries.
Practice SQL query writing.
Study ML algorithm implementation.
Explore BI and visualization tools.

Behavioral Questions

Describe past teamwork experiences.
Explain problem-solving examples.
Discuss time management challenges.
Share stakeholder communication instances.

Frequently Asked Questions