Digital Finance Analyst at Thermo Fisher Scientific

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionWe 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:Bachelors degree in Computer Science Mathematics Statistics Economics Engineering or a related quantitative field. A masters 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 BenefitsThe salary range estimated for this position based in California is $66000.00$88000.00.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 programsEmployee assistance and family support programs including commuter benefits and tuition reimbursementAt 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 policyRetirement and savings programs such as our competitive 401(k) U.S. retirement savings planEmployees Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discountFor more information on our benefits please visit: Experience:IC Key Skills Cognos,Forecasting,Hyperion,Microsoft Access,Pivot tables,Accounting,Analysis Skills,Microsoft Excel,Financial Analysis,Financial Modeling,Budgeting,Financial Planning Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 66000 - 88000