Engineering

Freelance ML Data Scientist (Payments, Credit & Fraud)

  • Location

    Berlin

  • Sector:

    Engineering

  • Job type:

    Contract

  • Salary:

    Negotiable

  • Contact:

    Adam Akhtar

  • Contact email:

    a.akhtar@ioassociates.eu

  • Job ref:

    BBBH163932_1752157941

  • Duration:

    6 months

  • Startdate:

    ASAP

Freelance ML Data Scientist (Payments, Credit & Fraud)

| NEW FULLY-REMOTE FREELANCE OPPORTUNITY:

I'm supporting a leading global credit / payments company within Financial Services in their search for a fully-remote (EU) Freelance Data Scientist with strong skills rooted in engineering.

You'll work on a freelance basis for a 6 month project (extension possible) in a cross-functional role across Product Insight, Fraud, Consumer Analytics and Credit risk, deploying data-driven solutions which will impact hundreds of thousands of users.


Responsibilities:

  • Perform thorough analysis into product performance, user behaviour and risk metrics, supporting strategic decision making
  • Improve existing model pipelines and data tools using internal MLOps platform
  • Present technical recommendations (excellent technical stakeholder management skills are required for this)
  • Test, develop and deploy ML models with application to fraud detection, consumer segmentation and credit scoring
  • Help in defining KPIs with Product teams and push product development through your data driven insights.

Tech stack:

  • Python (advanced), SQL (advanced), R (beneficial), Docker (nice to have)
  • Must bring advanced skills in Snowflake and/or BigQuery, AWS, Looker
  • Jupyter, Git, Airflow, dbt - Significant prior exposure
  • scikit-learn, XGBoost, NumPy, PyMC3 / Bayesian modelling skills, pandas, NumPy tool-kits

Other Requirements:

  • Must bring 3-5+ yrs of experience in Data Science / Engineering / ML
  • SQL & Python data manipulation and modelling skills
  • Agile, cross-functional - team player
  • Based and eligible to work in EU (Germany / Swiss - preferred)
  • Must have experience deploying models in production environments

Nice to have:

  • Relevant background in e-commerce, credit risk or fraud prevention
  • Experience freelancing and working remotely
  • Adept in Looker, Airflow or dbt

This is a fantastic, hot opportunity to work with real-world data and impact end-users directly in a fast paced environment.

Apply now or reach out to Adam Akhtar (iO Associates) for further information!