UK Remote Job – Data Scientist at Wave Mobile Money

EasyInfoBlog.com LLC; United Kingdom; Remote; GBP 99,000 - 179,000; Full time

Benefits offered by this job

Annual $1,200 coworking stipend

Subsidized health insurance

Retirement contributions

Six months of fully paid parentalleave

Fertility assistance

Flexible vacation policy (30–40 days)

Charitable donation matching up to $10

Generous equity package

Job summary

Wave Mobile Money is seeking a Data Scientist for a remote UK-based position. You will work on credit scoring, fraud detection, and optimization projects using Python, SQL, and ML techniques.

You will collaborate with product managers and operations to translate data into actionable business insights. The role requires 5+ years in data science or analytics, fluency in English, and the ability to present findings to both technical and non-technical audiences.

Qualifications

• Bachelor's degree in a quantitative field is required.
• 5+ years experience in data science, ML, or analytics.
• Proficiency in Python, SQL, and data visualization tools.

Responsibilities

• Work on credit scoring models, fraud detection, and promotions optimization.
• Collaborate with product managers and business leaders to drive data-driven decisions.
• Partner with product and operations teams to implement insights.
• Generate insights from customer, merchant, and internal data using statistics and ML.
• Design, implement, and evaluate optimizations for operations and promotions.
• Develop data-driven heuristics and ML models to improve outcomes.
• Manage analytics projects from scoping to stakeholder communication.

Skills

Analytical thinking

Communication skills

English fluency

Education

Bachelor’s degree in quantitative field

Tools

Python

SQL

Data visualization tools

Job description

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.