Role Overview

We're seeking a talented Lead Data Scientist to join our Finance Analytics team. In this role, you'll analyze financial data to drive insights, identify patterns, and recommend automation opportunities within our finance and accounting functions. You'll apply your technical expertise in data engineering and advanced analytics to transform raw financial data into meaningful insights, working collaboratively with finance teams to understand business needs

Key Accountabilities/Decision Making & Influence

• Apply advanced analytics techniques to extract insights from financial data sets
• Build and optimize data pipelines using Python, Spark, and SQL to prepare data for analysis
• Develop and implement machine learning models to identify patterns, anomalies, and opportunities for automation
• Create interactive dashboards and visualizations using BI tools that communicate key insights effectively
• Collaborate with finance teams to understand their data needs and translate them into analytical solutions
• Identify and track relevant metrics that provide meaningful business intelligence
• Support data-driven decision making by presenting clear, actionable findings
• Conduct exploratory data analysis to uncover trends and relationships in financial data
• Mentor junior data scientists on analytical techniques and best practices
• Implement statistical analysis methods to validate findings and ensure data quality
• Document methodologies, processes, and results to ensure reproducibility and knowledge sharing
  
  

Knowledge, Skills & Attributes

• 5-7 years of experience in data science or analytics, with exposure to financial or business data
• Strong technical background in data engineering and pipeline development
• Advanced proficiency in Python and experience with Spark for large-scale data processing
• Experience working with data from Snowflake Data Lake or similar cloud-based data platforms
• Demonstrated skill in building dashboards and visualizations using BI tools (Power BI, Tableau, Looker, etc.)
• Proficiency in SQL for data extraction and manipulation
• Experience applying machine learning algorithms to solve business problems
• Ability to communicate technical concepts to non-technical stakeholders
• Understanding of basic financial concepts and metrics (no deep finance expertise required)
• Strong problem-solving skills and attention to detail
• Bachelor’s degree in computer science, Data Science, Statistics, or related technical field
  
  

We would be thrilled if you bring in the below:

• Experience working in cross-functional teams in fast-paced environments
• Familiarity with agile methodologies and collaborative development practices
• Experience with version control systems (Git) and collaborative coding
• Knowledge of cloud computing platforms (AWS, Azure, GCP)
• Understanding of data governance and data quality best practices
• Demonstrates curiosity and a willingness to learn about finance and accounting concepts
• Shows creativity in presenting data insights through effective visualizations
• Maintains a continuous learning mindset, staying updated with emerging technologies and techniques in data science
  
  

We know that everyone has different wants and needs, which is why along with a highly competitive base salary we support our people and their loved ones with a variety of perks and benefits. As part of our team some of the benefits you can expect to receive are:

• Medical Insurance, Group Accidental Coverage/Insurance, Group Term Life Insurance
• Company Paid Subscription to Calm – The #1 app for mental fitness.
• Employee Referral Program – Bring the Best to Signant Health and earn a reward.
• Wellness Program – Participate in challenges and earn points for rewards.
• Proof! – Signant’s Employee Recognition Program where you can accumulate points to redeem exciting merchandise, gift cards, tickets, and more.
• Burn Along – Digital fitness and wellness platform
  
  

Does this sound like something you’d like to explore? Then we’d love to hear from you!

• To apply, please submit your CV and a cover letter letting us know why you think you’d be perfect for this role. We will begin reviewing submissions during the application period and will fill the vacancy as soon as a suitable candidate is identified.
  
  

Please note that Signant does not accept unsolicited resumes from Third Party vendors.

At Signant Health, accepting difference isn’t enough—we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients and our community. Signant Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.