Senior Python Developer (Machine Learning, Data Analysis, Visualization)

Job Summary

Synechron is seeking a talented and motivated Data Science / AI & ML Engineer with proficiency in Python to join our innovative analytics team. This key role involves developing data-driven solutions, building machine learning models, and leveraging advanced analytics to solve complex business challenges. The ideal candidate will apply their expertise to drive insights, inform strategic decisions, and contribute to cutting-edge AI initiatives, creating tangible value for clients across diverse industries.

This position offers an exciting opportunity to work at the intersection of data science, AI, and business impact, supporting ongoing innovation and digital transformation efforts within the organization.

Software Requirements

Required Skills:

• Proficiency in Python (version 3.6+) with experience in data analysis, manipulation, and scripting
• Knowledge of SQL for data extraction, transformation, and database querying
• Experience with data visualization tools such as PowerBI, Tableau, or QlikView
• Familiarity with AI and Machine Learning frameworks such as TensorFlow, Keras, PyTorch, or equivalent
• Hands-on experience in developing, deploying, and optimizing machine learning models
  
  

Preferred Skills:

• Experience with R for data analysis
• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI solutions
• Knowledge of version control systems such as Git
  
  

Overall Responsibilities

• Analyze, interpret, and visualize large and complex datasets to extract actionable insights
• Design, develop, and implement machine learning and AI models for predictive and prescriptive analytics
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Communicate findings, insights, and recommendations via reports, dashboards, and presentations to stakeholders
• Evaluate and refine models and algorithms to maximize accuracy, efficiency, and impact
• Stay informed on emerging AI, Data Science, and analytics trends and incorporate best practices into projects
• Support automation efforts, optimize data pipelines, and enhance existing analytical workflows
• Contribute to organizational learning by sharing knowledge and mentoring team members
  
  

Strategic objectives:

• Drive innovation through the application of AI and machine learning
• Enable data-driven decision-making across business units
• Improve operational efficiencies and business outcomes
  
  

Performance outcomes:

• Accurate, robust, and scalable AI models
• High-quality insights delivered on time and aligned with business needs
• Well-documented solutions and knowledge-sharing artifacts
  
  

Technical Skills (By Category)

Programming Languages (Essential):

• Python (required); experience with R is a plus
• SQL (required); experience with data manipulation and querying
  
  

Data Analysis & Visualization Tools (Essential):

• PowerBI, Tableau, or QlikView
  
  

Frameworks & Libraries (Essential):

• TensorFlow, Keras, PyTorch, or similar frameworks for AI/ML development
  
  

Data Management & Databases (Essential):

• Relational databases (e.g., MySQL, PostgreSQL, Oracle)
• Data extraction and transformation (ETL processes)
  
  

Cloud & Deployment (Preferred):

• Experience deploying models on cloud platforms such as AWS, Azure, GCP
  
  

Development & Version Control (Preferred):

• Git for code versioning
  
  

Other Skills:

• Strong statistical knowledge and experience with data preprocessing, feature engineering
• Familiarity with agile development methodologies
  
  

Experience Requirements

• 3 to 5 years of relevant experience in AI, Data Science, or Data Analytics roles
• Proven track record applying machine learning techniques to real-world problems
• Experience working with large datasets and scalable data pipelines
• Experience collaborating with cross-functional teams to deliver analytics-driven solutions
• Industry experience in finance, healthcare, retail, or similar data-rich sectors is preferred
  
  

Alternative pathways:

• Candidates with extensive AI & ML project experience, strong programming skills, and relevant certifications can be considered with slightly varied years of experience
  
  

Day-to-Day Activities

• Collect, clean, and explore large datasets to identify patterns and insights
• Develop and tune machine learning models to address business problems
• Collaborate with business analysts, data engineers, and product owners to align technical solutions with organizational goals
• Document methodologies, code, and analytical findings to ensure reproducibility and knowledge sharing
• Create dashboards, visualizations, and reports to communicate insights effectively
• Evaluate model performance regularly and optimize models for accuracy and efficiency
• Participate in team meetings, project planning, and review sessions
• Keep abreast of advancements in AI/ML technologies, tools, and best practices
  
  

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related field
• Master’s degree or higher in AI, Data Science, or related disciplines is a plus
• Professional certifications in AI/ML (e.g., TensorFlow Developer, AWS Machine Learning Specialty) are advantageous
• Willing to learn new tools and stay updated with emerging AI trends
• Ability to work independently and collaborate effectively in a dynamic environment
  
  

Professional Competencies

• Analytical and problem-solving mindset with a focus on actionable insights
• Excellent verbal and written communication skills for diverse audiences
• Strong interpersonal skills and stakeholder management
• Adaptability to fast-changing technology landscapes
• Growth mindset with continuous learning enthusiasm
• Organizational skills to handle multiple projects and priorities simultaneously
• Innovation-driven approach and proactive problem resolution
  
  

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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