JOBSEARCHER

Data Scientist

SynechronPittsburgh, PAApril 30th, 2026
We areAt 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 challengeWe are seeking an experienced Data Scientist with expertise in Data Analytics, Python, Pytorch, TensorFlow, LLMs, RAG, ML, and AI to join our innovative team. The ideal candidate will play a crucial role in developing advanced data models and AI solutions that drive our clients’ digital transformation efforts. You will work at the intersection of data science and cutting-edge AI technologies, contributing to impactful projects in the financial industry and beyond.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 is $115K - $120K/year & benefits (see below).The RoleResponsibilities: Collaborate with cross-functional teams to understand data-driven business needs and translate them into effective analytical solutions. Develop, train, and deploy machine learning models, including LLMs, RAG, and other AI algorithms, to solve complex problems. Implement data analytics pipelines using Python, Pytorch, TensorFlow, and related tools to process and analyze large datasets. Experiment with and optimize new AI models and techniques to improve performance and accuracy. Communicate insights and results to technical and non-technical stakeholders effectively. Stay updated with the latest advancements in AI, ML, and data science to continuously enrich project solutions.Requirements: Proven experience as a Data Scientist or in a similar role. Strong proficiency in Python, with hands-on experience in Pytorch and TensorFlow. Expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other AI/ML techniques. Solid understanding of data analytics and data preprocessing best practices. Experience working with cloud platforms and deploying AI models in production environments is a plus. Excellent problem-solving skills and ability to communicate complex technical concepts. Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields. Certifications or prior experience working on AI projects with tangible business impact are advantageous.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.