Senior Python Developer (Machine Learning, Data Analysis, Visualization)
Senior Python Developer (Machine Learning, Data Analysis, Visualization)
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Job Description
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
- Bachelors degree in Computer Science Data Science Statistics or related field
- Masters 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
SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Required Experience:
Senior IC
Employment Type
Full-Time
