Digital Finance Data Scientist

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

We are seeking a dynamic and motivated individual to join the LSG Digital Finance Analytics team. This role involves analyzing large datasets, automating processes, and communicating insights to senior management. The position utilizes data platforms like PowerBI, Azure Databricks, and Fabric, along with AI infrastructure, to support financial planning, analysis, and forecasting.

Key Responsibilities :

Design and validate Machine Learning, Deep Learning, and Natural Language Processing (NLP) models for portfolio optimization, risk analytics, performance attribution, and capital allocation.

Build scalable data pipelines using Python, SQL (MySQL), and R. Perform feature engineering, data normalization, and generate reports and financial data.

Collaborate with engineering teams to deploy models using Kubeflow, AWS SageMaker, or Azure ML. Ensure robust model governance, version control, and production readiness.

Conduct factor analysis, scenario modeling, and backtesting to evaluate model performance.

Partner with Data Science, Investment Research, and Portfolio Strategy teams to align AI solutions with client mandates, investment policy statements, and risk-adjusted return objectives.

Requirements :

Bachelor's or Master's degree in Computer Science, Machine Learning, Mathematics, Statistics, Econometrics, or related quantitative fields.

Proven experience in quantitative finance and AI / ML model development.

Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch), SQL, and AI / ML lifecycle platforms.

Strong understanding of data governance and data quality.

Excellent interpersonal skills to present complex technical concepts to executive stakeholders.

Benefits :

Joining the team offers an innovative environment that thrives on creativity and innovation. There are ample growth opportunities, supporting professional development and career advancement. The collaborative culture allows working with talented and passionate individuals. A comprehensive benefits package, including health insurance and retirement plans, is provided.

Compensation and Benefits

The salary range estimated for this position based in California is $95,900.00-$129,950.00.

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 :

Thermo Fisher Scientific is an EEO / Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.