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Data Scientist at Wave Mobile

Remote / Online - Candidates ideally in
Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: EasyInfoBlog.com LLC
Remote/Work from Home position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 130600 - 236200 USD Yearly USD 130600.00 236200.00 YEAR
Job Description & How to Apply Below

Job Title:

Data Scientist

Employer:

Wave Mobile Money
Job Type: Remote

Location:

United Kingdom
Salary/Rate: $130.6k – $236.2k / year
UK Visa Sponsorship:
Not Available

  • Work on projects involving credit scoring models, fraud detection, field visit schedule optimization, and A/B testing for targeted user promotions.
  • Collaborate with product managers and business leaders to identify problems and use data to improve outcomes.
  • Work closely with product and operations teams.
  • Generate insights from customer, merchant, and internal data using statistical modelling, data visualization, and machine learning.
  • Design, implement, and evaluate optimizations for internal operations, user promotions, and the agent network.
  • Develop data-driven heuristics and machine-learning models to improve user and business outcomes.
  • Manage the entire analytics process, from project scoping and design to communicating findings to stakeholders.

Requirements

  • Minimum of a Bachelor’s degree in a quantitative field, such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
  • At least 5 years of experience in data science, machine learning, or technical analytics roles.
  • Strong expertise in Python, SQL, and data visualization tools.
  • Experience in one or more of the following: machine learning, causal inference, statistical modelling, or A/B testing.
  • Fluency in English.
  • Ability to generate clear, actionable insights for technical and business stakeholders.
  • Ability to work in ambiguous, fast-paced environments and drive progress.
  • Experience working with early-stage product teams or rapidly scaling products.
  • Ability to present findings to both technical and non-technical audiences.
  • Must be based in one of the listed talent hub countries or operating markets.

Benefits

  • Annual $1,200 stipend to support coworking meetups with teammates.
  • Subsidized health insurance for employees and their dependents.
  • Retirement contributions.
  • Six months of fully paid parental leave.
  • Subsidized fertility assistance.
  • Flexible vacation policy, with most employees taking between 30 and 40 days annually.
  • Annual charitable donation matching of up to $10,000.
  • Generous equity package.
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