Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

We are seeking a highly motivated Data Scientist to join the LSG Digital Finance Analytics team. This role supports the analysis of large datasets, development of automated processes, and communication of insights that help drive financial planning, analysis, and forecasting. You will work with data platforms such as PowerBI, Azure Databricks, and Fabric, as well as emerging AI tools, while learning from experienced data science and finance professionals.

Key Responsibilities:

Assist in the design, training, and validation of Machine Learning, Deep Learning, and Natural Language Processing (NLP) models for portfolio analytics, risk assessment, and performance reporting.

Contribute to the development of scalable data pipelines using Python and SQL. Support data preparation tasks including feature engineering, normalization, and routine reporting.

Collaborate with engineering teams to help prepare models for deployment using platforms like Kubeflow, AWS SageMaker, or Azure ML. Participate in activities related to model documentation, version control, and quality checks.

Conduct preliminary factor analysis, scenario modeling, and basic backtesting under the guidance of senior team members.

Work closely with Data Science, Investment Research, and Portfolio Strategy teams to ensure that analytical outputs align with financial objectives and project requirements.

Requirements:

Bachelor’s degree in Computer Science, Mathematics, Statistics, Economics, Engineering, or a related quantitative field. A master’s degree is a plus but not required.

Exposure to AI/ML concepts or quantitative analysis through coursework, internships, or research projects.

Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL; familiarity with TensorFlow or PyTorch is a plus.

Understanding of fundamental data governance and data quality principles.

Strong communication and collaboration skills, with the ability to learn quickly and translate technical findings for non-technical stakeholders.

Benefits:

This role offers the opportunity to grow within an innovative and supportive environment. You will work alongside experienced data scientists and finance professionals, gaining hands-on exposure to advanced analytics and AI in a real-world business context. The team encourages continuous learning and provides pathways for professional development. A comprehensive benefits package, including health insurance and retirement plans, is included.

Compensation and Benefits

The salary range estimated for this position based in California is $66,000.00–$88,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

A choice of national medical and dental plans, and a national vision plan, including health incentive programs

Employee assistance and family support programs, including commuter benefits and tuition reimbursement

At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards