Data Scientist; AI​/ML, Python

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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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 16,400+, and has 60 offices in 20 countries within key global markets.

We are looking for an experienced Data Scientist with expertise in AI/ML, Python, and advanced analytics to develop and deploy scalable machine learning solutions. The ideal candidate will lead model development and contribute to AI strategy, driving impactful insights and innovations.

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 Alpharetta, GA is $105k - $120k/year & benefits (see below).

Note: Face to face interview required in Alpharetta,GA

• Develop and deploy machine learning models using Tensor Flow, Py Torch , and other frameworks.
• Perform data preprocessing with tools like Pandas to prepare large datasets for modeling.
• Implement ML algorithms for classification, regression, clustering, and recommendation systems.
• Build scalable ML systems that handle production workloads.
• Integrate models seamlessly into applications via REST APIs
  .
• Apply advanced NLP and deep learning techniques for language-based tasks.
• Leverage cloud ML platforms (AWS Sage Maker, Google AI Platform, Azure ML) for training and deployment.
• Conduct statistical modeling to extract actionable insights and validate model performance.
• Lead and influence AI strategy to align with business goals.
• Collaborate with cross-functional teams to translate data insights into business value.

• Proven experience in Python for data science and ML.
• Strong working knowledge of Tensor Flow and Py Torch .
• Hands-on experience with ML algorithms and model tuning.
• Proficiency in data preprocessing and feature engineering (
  Pandas
  , Num Py
  , etc.).
• Skilled in integrating models with REST APIs and deploying solutions.
• Deep understanding of NLP and deep learning architectures.
• Experience working with cloud ML platforms for training and deployment.
• Ability to design scalable and production-ready ML systems
  .
• Solid foundation in statistical modeling and analytics.
• Proven leadership in AI strategy and projects.

• Knowledge of modern software engineering practices.
• Experience with model monitoring and MLOps
  .
• Strong communication skills to articulate technical strategies.

• A highly competitive compensation and benefits package.
• A multinational organization with 60 offices in 20 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 (Fin Labs) 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,…