Machine Learning / Data Scientist [Microsoft Fabric/XGBoost/ARIMA/ Python]

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets.

Our Challenge:

We are looking for a mid-level Machine Learning / Data Scientist to help build and maintain forecasting models. You will work with time series methods such as ARIMA and gradient-boosted models such as XGBoost, developing solutions natively within Microsoft Fabric. This role suits someone who enjoys translating real-world financial data into reliable, production-ready forecasts.

Additional Information*

The base salary for this position will vary based on geography and other factors.

In accordance with law, the base salary for this role if filled within Piscataway, NJ/ King of Prussia is $100K-$110K /year & benefits (see below).

Responsibilities:

• Design, build, and validate time series forecasting models (ARIMA, exponential smoothing) and machine learning models (XGBoost) for various business forecasting processes.
• Utilise data pipelines within Microsoft Fabric to ingest, clean, and transform structured and time-indexed data.
• Evaluate model performance using appropriate statistical and ML metrics (MAPE, backtesting) and iterate on feature engineering and model selection.
• Suggest and implement recommendations to enhance model outcomes/additional models as data structures and business needs evolve.
• Deploy and monitor models in production, ensuring forecasts refresh reliably on schedule within Fabric pipelines
• Partner with the ML team and other stakeholders to translate forecasting requirements into modeling approaches, and communicate results and model limitations clearly to non-technical audiences.
• Document modeling assumptions, and validation results to support governance and audit requirements.
• Stay current with developments in time series and ML forecasting methods and recommend improvements to existing modeling practices.
• Support the wider ML team with utilising the model outputs in business-oriented user interfaces.

Requirements:

• Experience in a data science, quantitative analytics, or applied statistics role, ideally with exposure to financial
• Hands-on experience building and tuning ARIMA (or similar classical time series) models and XGBoost (or comparable gradient-boosting) models.
• Working knowledge of Microsoft Fabric
• Proficiency in Python (pandas, statsmodels, scikit-learn, xgboost) and/or PySpark; solid SQL skills.
• Understanding of core statistical concepts: stationarity, seasonality, autocorrelation, cross-validation for time series, and bias-variance tradeoffs.
• Strong communication skills, with the ability to explain modeling choices and forecast uncertainty to non-technical stakeholders.
• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.