Talantix.io
AlterA Digital Health Canada•04.03.26
AI SCORE 8.5

Senior Data Scientist - Pricing & Underwriting - Remote

$140K–$180K/year
RemoteData Science
Python•SQL•Machine Learning•Statistical Analysis•Cloud Computing•AWS•GCP

About the Role

We are seeking a Senior Data Scientist - Pricing & Underwriting - Remote to join our innovative team. In this role, you will leverage your expertise in data science to drive pricing strategies and enhance underwriting processes. As a Senior Data Scientist, you will work with advanced statistical models and machine learning algorithms to optimize pricing models and improve decision-making.

What You'll Do

  • Develop and implement pricing models using statistical analysis and machine learning techniques.
  • Collaborate with cross-functional teams to identify data-driven opportunities for pricing strategy improvements.
  • Utilize SQL and Python to extract, analyze, and interpret complex datasets.
  • Conduct A/B testing to evaluate the effectiveness of pricing strategies.
  • Provide insights and recommendations based on data analysis to support business objectives.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on pricing and underwriting.
  • Proficiency in SQL, Python, and statistical modeling.
  • Experience with cloud computing platforms such as AWS or GCP.
  • Strong analytical skills and the ability to translate data into actionable insights.
  • Familiarity with ETL processes and business intelligence tools.

Nice to Have

  • Experience in the financial services or insurance industry.
  • Knowledge of ITIL and project management methodologies (PMP, PMI-ACP).
  • Advanced degree in Data Science, Statistics, Mathematics, or a related field.

What We Offer

  • Shape the future of alternative assets with autonomy on impactful projects.
  • $100/month work-from-home stipend and $200/month wellness stipend.
  • WeWork office stipend for collaborative workspaces.
  • 401(k) retirement benefits and flexible vacation policy.
  • Generous paid parental leave and competitive healthcare benefits for you and your dependents.
Why This Job8.5 of 10

This Senior Data Scientist role offers the chance to work remotely while driving impactful pricing strategies. With competitive compensation and generous benefits, it's an attractive opportunity for experienced data professionals.

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

Who Will Succeed Here

→

Proficient in Python and SQL for data manipulation and analysis, with hands-on experience in libraries such as Pandas and NumPy for statistical modeling and data visualization.

→

Strong analytical mindset with experience in developing and applying machine learning algorithms to pricing strategies, utilizing tools like TensorFlow or Scikit-learn to create predictive models.

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Demonstrates adaptability and self-motivation in a remote work environment, with a proven track record of managing projects independently while collaborating effectively with cross-functional teams.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Pythoncourse
→AWS Documentation for Machine Learningarticle

Career Path

Senior Data Scientist - Pricing & Underwriting(Now)→Lead Data Scientist(1-2 years)→Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$45B
Annual Growth
21.5%
AI Adoption
75%
Investment
+120%
Labour Demand
+30%
Avg Salary
$135K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingExcel-based Data Analysis

Domain Trends

Increased Automation in Pricing Models
Companies are leveraging machine learning models to automate dynamic pricing, leading to a projected 40% reduction in manual pricing efforts by 2025.
Cloud Adoption for Data Science
Over 60% of organizations are migrating their data science operations to cloud platforms like AWS and GCP, enhancing scalability and collaboration.
Focus on Ethical AI in Underwriting
As AI adoption increases, 50% of firms are prioritizing ethical considerations in AI models for underwriting to ensure fairness and transparency.

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