Talantix.io
Tabby•04.03.26
AI SCORE 8.5

Remote Data Scientist (Risk) - Join a Fast-Scaling Team

$90K–$130K/year
RemoteData Science & Analytics
Python•SQL•Tableau•Power BI•PyTorch•AWS•Google Cloud Platform•Airflow•Docker

About the Role

We are seeking a talented Remote Data Scientist (Risk) to join our dynamic team. In this role, you will leverage your expertise in data science and analytics to drive insights that enhance our risk management strategies. As a Remote Data Scientist (Risk), you will work closely with a high-performing, international team to analyze complex datasets and develop predictive models that inform our business decisions.

What You'll Do

  • Utilize advanced statistical analysis and machine learning techniques to assess credit risk and develop risk models.
  • Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
  • Design and implement data pipelines using tools such as Airflow and Docker to ensure efficient data processing.
  • Conduct thorough data analysis and visualization using Python, SQL, Tableau, and Power BI to communicate findings effectively.
  • Participate in QA processes to ensure the accuracy and reliability of data-driven insights.
  • Stay updated on industry trends and best practices in data science and risk management.

Requirements

  • 3+ years of experience as a Data Scientist or in a similar role, with a focus on risk management.
  • Proficiency in Python, SQL, and data visualization tools (Tableau, Power BI).
  • Experience with machine learning frameworks such as PyTorch and cloud platforms like AWS or Google Cloud Platform.
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent communication skills to convey complex data insights to non-technical stakeholders.

Nice to Have

  • Experience in financial analysis or credit risk assessment.
  • Familiarity with Agile methodologies and tools like Jira.
  • Knowledge of mobile testing and backend testing processes.

What We Offer

  • Full-time B2B contract with a fully remote setup.
  • Up to 20% tax allowance to maximize your earnings.
  • 22 paid leave days annually to support your work-life balance.
  • Stock options in a fast-scaling, pre-IPO company, giving you a stake in our success.
  • Flexi benefits for wellness, travel, or learning to enhance your personal growth.
Why This Job8.5 of 10

This Remote Data Scientist (Risk) position offers a unique opportunity to work in a fast-scaling pre-IPO company with excellent benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and SQL, with a strong understanding of data manipulation and analysis techniques, particularly in the context of risk modeling and predictive analytics.

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Self-motivated and organized, able to thrive in a fully remote environment while managing multiple projects using tools like Docker and Airflow for streamlined workflows.

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Hands-on experience with cloud platforms like AWS and Google Cloud Platform, demonstrating a proactive approach to deploying machine learning models and managing data pipelines.

Learning Resources

→Python for Data Science Handbookguide
→Introduction to Data Science in Pythoncourse
→SQL for Data Sciencecourse

Career Path

Remote Data Scientist (Risk)(Now)→Data Science Manager or Senior Data Scientist(2-4 years)→Director of Data Science or Chief Data Officer(5-7 years)

Market Overview

Market Size 2024
$20.5B
Annual Growth
25.3%
AI Adoption
60%
Investment in Data Science
+35%
Labour Demand for Data Scientists
+30%
Avg Salary
$120K

Skills & Requirements

Required
PythonSQLTableau
Growing in Demand
Machine Learning (ML)Natural Language Processing (NLP)Cloud Computing (AWS, GCP)
Declining
R ProgrammingSAS

Domain Trends

Increased Demand for AI-Driven Risk Management
As organizations face rising risks, the demand for AI-driven risk management solutions has increased by 40% in 2024, pushing data scientists to leverage Python for predictive analytics.
Shift Towards Cloud-Based Data Solutions
Over 70% of companies are moving their data science operations to cloud platforms like AWS and GCP, creating a significant demand for data scientists proficient in cloud technologies.
Integration of Data Visualization Tools
The use of data visualization tools such as Tableau and Power BI has surged by 50%, as companies seek to make data-driven decisions more accessible across all levels.

Industry News

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