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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a talented and analytical Data Scientist to join our team. The ideal candidate will leverage advanced data analysis, statistical modeling, and machine learning techniques to drive insights, optimize loan processes, improve risk assessment, and enhance customer experiences in mortgage and lending domains.

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 Pittsburgh, PA/ Dallas, TX is $110k - $120k/year & benefits (see below).

The Role

Responsibilities:

Analyze large volumes of loan and mortgage data to identify key trends, patterns, and risk factors.
Develop and implement predictive models for credit scoring, risk segmentation, loan default prediction, and fraud detection.
Collaborate with product teams, underwriters, and risk managers to understand business requirements and translate them into analytical solutions.
Build data pipelines and automate data ingestion, cleaning, and processing workflows related to loans and mortgage portfolios.
Conduct feature engineering to improve model accuracy and robustness.
Monitor model performance over time and recalibrate models as needed based on changing market conditions.
Create dashboards and reports to communicate insights and support decision-making processes.
Ensure data quality, integrity, and compliance with regulatory standards.
Stay updated on industry trends, emerging techniques, and regulatory changes affecting mortgage and lending projects.

Requirements:

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Finance, or related field; Ph.D. a plus.
Proficiency in Python and/or R for data analysis and modeling.
Hands-on experience with machine learning frameworks such as scikit-learn, XGBoost, or LightGBM.
Experience with SQL and data manipulation tools.
Familiarity with mortgage data sources (e.g., loan datasets, credit bureau data) and data privacy regulations.
Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is advantageous.
Excellent problem-solving skills and ability to communicate complex insights effectively.

Preferred, but not required:

Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Finance, or related field; Ph.D. a plus.
Proficiency in Python and/or R for data analysis and modeling.
Hands-on experience with machine learning frameworks such as scikit-learn, XGBoost, or LightGBM.
Experience with SQL and data manipulation tools.
Familiarity with mortgage data sources (e.g., loan datasets, credit bureau data) and data privacy regulations.
Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is advantageous.
Excellent problem-solving skills and ability to communicate complex insights effectively.

We offer:

A highly competitive compensation and benefits package.
A multinational organization with 58 offices in 21 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.

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