Synechron is a global consulting firm that leverages digital technologies to transform businesses. They combine creativity with innovative technology to deliver industry-leading digital solutions covering Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering for financial services and technology firms. Synechron conducts research and development in its FinLabs to develop solutions for modernization, including Artificial Intelligence, Blockchain, Data Science models, Digital Underwriting, and mobile-first applications. With a global workforce of over 14,500+ across 58 offices in 21 countries, Synechron is recognized for its commitment to talented teams.

About the Position

Introduction

Synechron is seeking a highly skilled and motivated Data Scientist to join their team in Pittsburgh, PA. The successful candidate will possess strong expertise in statistical analysis, machine learning, predictive modeling, and data-driven problem-solving. This role involves collaborating with cross-functional teams to extract actionable insights, build scalable analytical models, and support strategic business initiatives.

Responsibilities

Analyze large, structured, and unstructured datasets to identify business trends, patterns, and opportunities.
Develop, validate, and deploy machine learning and statistical models for forecasting, classification, clustering, and optimization.
Partner with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
Build data pipelines and workflows to support model development and deployment.
Perform exploratory data analysis and feature engineering to enhance model performance.
Design and execute A/B testing and experimentation frameworks to evaluate business initiatives.
Communicate findings, recommendations, and technical concepts clearly to both technical and non-technical audiences.
Monitor model performance and recommend improvements to ensure continued accuracy and relevance.
Collaborate with data engineers and architects to ensure data quality, governance, and scalability of solutions.
Stay current with emerging trends, tools, and best practices in data science, machine learning, and AI.

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
5+ years of experience in data science, machine learning, advanced analytics, or a related field.
Strong programming experience in Python or R.
Hands-on experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
Proficiency in SQL and experience working with relational and non-relational databases.
Strong understanding of statistical methods, predictive modeling, and data mining techniques.
Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Excellent problem-solving, analytical, and communication skills.
Ability to work effectively in a fast-paced, collaborative environment.

Benefits

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 with access to more than 5000 curated courses.
Coaching opportunities with experienced colleagues from FinLabs and Center of Excellences (CoE) groups.
Cutting-edge projects at 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.