Digital Finance Analyst

Thermo Fisher Scientific-posted 7 days ago
$66,000 - $88,000/Yr
Full-time • Entry Level
Onsite • Carlsbad, CA
5,001-10,000 employees
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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.

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