Talantix.io
Remote Position•13.03.26
AI SCORE 8.5

Senior Data Scientist - Pricing & Underwriting - Remote

$140K–$180K/year
RemoteData Science
Data Science•Python•SQL•Machine Learning•Statistical Analysis•AWS•GCP•ETL•A/B Testing

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 develop pricing models and strategies that drive business success. You will work collaboratively with cross-functional teams to analyze complex data sets and provide actionable insights that enhance our pricing and underwriting processes.

What You'll Do

  • Design and implement advanced pricing models using statistical analysis and machine learning techniques.
  • Conduct A/B testing to evaluate the effectiveness of pricing strategies and optimize outcomes.
  • Utilize SQL and Python for data manipulation and analysis, ensuring data integrity and accuracy.
  • Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.
  • Develop and maintain dashboards and reports to communicate findings and recommendations effectively.
  • Lead initiatives to improve data processes and enhance overall data quality.
  • Mentor junior data scientists and contribute to a culture of continuous learning and improvement.
  • Stay updated on industry trends and best practices in data science and pricing analytics.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on pricing and underwriting.
  • Proficiency in SQL, Python, and statistical modeling techniques.
  • Strong understanding of machine learning algorithms and their application in pricing strategies.
  • Experience with cloud computing platforms such as AWS or GCP.
  • Excellent analytical and problem-solving skills, with the ability to communicate complex ideas clearly.
  • Familiarity with project management methodologies (PMP, PMI-ACP) is a plus.
  • Ability to work independently and manage multiple projects simultaneously.

Nice to Have

  • Experience in the financial services or insurance industry.
  • Knowledge of ETL processes and business intelligence tools.
  • Strong negotiation skills and experience in proposal development.

What We Offer

  • Shape the future of Alt and alternative assets.
  • Autonomy and ownership on impactful projects.
  • $100/month work-from-home stipend.
  • $200/month wellness stipend.
  • WeWork office stipend.
  • 401(k) retirement benefits.
  • Flexible vacation policy.
  • Generous paid parental leave.
  • Competitive healthcare benefits for you and dependents.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role offers a unique opportunity to shape pricing strategies in a remote setting. With competitive salary and flexible benefits, it's an attractive position for experienced data professionals.

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 machine learning algorithms to build effective pricing models, including regression analysis and decision trees.

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Self-motivated and disciplined to excel in a remote work environment, with a proven ability to manage time effectively and prioritize projects independently while maintaining collaboration with cross-functional teams.

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Experience in leveraging cloud platforms such as AWS and GCP for data processing and model deployment, combined with a strong analytical mindset to interpret statistical analysis results and drive data-driven decisions.

Learning Resources

→Data Science Handbookguide
→Machine Learning with Pythoncourse
→Statistical Analysis with Pythonarticle

Career Path

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

Market Overview

Market Size 2024
$140B
Annual Growth
25.0%
AI Adoption
65%
Investment
+45%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
Data SciencePythonSQL
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark, Hadoop)
Declining
Excel for Data AnalysisTraditional Statistical Software (e.g., SAS, SPSS)

Domain Trends

Increased Use of Automated Machine Learning (AutoML)
The adoption of AutoML tools has increased by 40% in 2024 as companies seek to streamline model development and deployment.
Rise of Explainable AI (XAI)
With regulatory pressures growing, the demand for explainable AI solutions has surged, with 55% of organizations prioritizing transparency in AI models.
Integration of Data Science with Business Intelligence
Approximately 70% of organizations are integrating data science with BI tools, enhancing decision-making processes and driving strategic initiatives.

Industry News

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