Freshers Jobs Vacancy – Associate Software Engineer Job Opening at Optum

Optum is hiring for the role of Associate Software Engineer for the Hyderabad location. Please read the complete information carefully and apply if you are eligible for the Associate Software Engineer Job Opening at Optum.

Eligibility Criteria:

Education: Undergraduate degree or equivalent experience

Job Location: Hyderabad.

Experience: Freshers / Experienced

Skills: Python, SQL, libraries(Pandas, NumPy) and machine learning (e.g., scikit-learn)

Salary: Upto ₹6.2 Lakhs to ₹19.5 Lakhs (​As per AmbitionBox)

Job Description for Associate Software Engineer Job Opening at Optum:

• Design and deploy AI solutions to automate workflows, enhance customer experiences, and streamline business operations.
• Extract actionable insights from large datasets using Python, SQL, and data visualization tools like Tableau and Power BI.
• Build and deploy machine learning models for predictive analytics and data-driven decision-making using Scikit-learn, TensorFlow, or similar tools.
• Gather, clean, and structure data from diverse sources to ensure high data quality and readiness for analysis.
• Partner with cross-functional teams to align data insights with business goals and communicate findings clearly to both technical and non-technical stakeholders.

Knowledge and Attributes:

• Understanding and contributing to the standards and practices followed during the entire software development process.
• AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations
• Data Analysis and Interpretation: Analyze large datasets to extract meaningful insights and trends using Python and data science techniques
• Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes
• Data Collection and Cleaning: Data Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information.
• Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets
• The ability to interpret results and communicate findings clearly is crucial for guiding business decisions.
• Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information.
• Reporting and Visualization: Data Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable
• Predictive Modelling and Forecasting: Advanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes.
• Collaboration and Communication: Effective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals.

Required Experience: