Data Scientist

Position Summary
The Data Scientist provides advanced analytics, modeling, and data-driven decision support across enterprise functions. This role includes designing and developing machine learning models, performing statistical analysis, and collaborating with partners to frame problems, gather relevant data, and translate insights into strategic business recommendations. The Data Scientist ensures model development and deployment aligns with enterprise governance standards and drives measurable impact across key performance areas.

Key Responsibilities:
Translates complex business problems into analytical solutions using machine learning, statistical modeling, and AI techniques
Designs, develops, and evaluates models and algorithms for classification, prediction, clustering, and optimization
Works closely with data engineers and platform administrators to ensure proper data pipelines, infrastructure readiness, and scalable solutions
Communicates findings and insights clearly to both technical and non-technical stakeholders
Adheres to enterprise model governance standards, including documentation, validation, and risk assessment
Partners with business and technical teams to ensure models are continuously monitored and updated as needed
Utilizes structured and unstructured data from various systems (internal and external) to enhance model accuracy and performance
Stays current on emerging techniques and tools in data science and applies them where appropriate

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience

Required Qualifications
Strong statistical foundation and experience in developing, validating, and deploying predictive models
Experience with supervised and unsupervised learning, natural language processing, and time series analysis
Proficiency in Python for data science applications, along with experience in libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, etc.
Experience with SQL and working knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
Familiarity with cloud environments (e.g., Azure, AWS, or GCP) and model deployment strategies (e.g., Docker, APIs, MLOps pipelines)
Understanding of ethical AI practices, data privacy, and model interpretability
Strong problem-solving skills and ability to manage ambiguity in data and requirements
Ability to manage multiple projects simultaneously and adapt in a fast-paced environment


Nice to Have Skills & Experience

Desired Qualifications
Domain experience in financial services
Exposure to model risk governance frameworks (e.g., SR11-7)
Experience contributing to or using reusable modeling frameworks or shared libraries
Prior involvement in AI/ML innovation labs, research, or open-source contributions


Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.