Back to jobs

    About Synechron

    At Synechron, we leverage the power of digital to transform businesses. As a global consulting firm, we combine creativity and innovative technology to deliver industry-leading digital solutions. Our progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, serving prominent financial services and technology firms. Through our FinLabs, we develop solutions from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, and mobile-first applications. With over 20 years of experience, a global workforce of 14,500+, and 58 offices in 21 countries, Synechron is committed to its talented teams and diverse, inclusive culture.

    About the Position

    Introduction

    Synechron, a global consulting firm, is seeking a highly skilled and motivated Data Scientist to join their team in Pittsburgh, PA. The ideal candidate will have strong expertise in statistical analysis, machine learning, predictive modeling, and data-driven problem-solving to extract actionable insights from large and complex datasets, 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 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.

    About Company

    At Synechron, we leverage the power of digital to transform businesses. As a global consulting firm, we combine creativity and innovative technology to deliver industry-leading digital solutions. Our progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, serving prominent financial services and technology firms. Through our FinLabs, we develop solutions from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, and mobile-first applications. With over 20 years of experience, a global workforce of 14,500+, and 58 offices in 21 countries, Synechron is committed to its talented teams and diverse, inclusive culture.

    How to Apply

    Apply via the provided link.

    Apply Now

    Your data is only shared with Synechron

    Location

    Pittsburgh, PA

    Type

    full_time

    Keywords

    Data Science
    Machine Learning
    Predictive Modeling
    Statistical Analysis
    Python
    R
    scikit-learn
    TensorFlow
    PyTorch
    SQL
    Data Visualization
    Tableau
    Power BI
    Matplotlib
    Seaborn
    AWS
    Azure
    Google Cloud Platform
    AI
    Verified Company

    Data Scientist

    Synechron