
Design and optimize Python, Selenium, and robotic process automation solutions for Finance workflows, integrating clean data and automation platforms to improve efficiency, accuracy, scalability, and decision-making. Incorporate artificial intelligence and machine learning capabilities where appropriate, explore emerging technologies, and communicate solutions to stakeholders while maintaining documentation.
Requires a bachelor’s or master’s degree in Technology or a related discipline, two to four years of hands-on automation experience with Python and Selenium, and practical experience with robotic process automation. Candidates should also have experience with Microsoft Power Apps, working knowledge of SQL and databases, and the ability to communicate and document technical solutions; exposure to AI/ML and PowerShell or VBScript is desirable.
Job Description Summary
Location: Hyderabad, India
Job Description
· Design and implement automation solutions using Python, Selenium and robotic process automation to improve Finance processes.
· Integrate scripts and automation platforms to create efficient, intelligent workflows and support data-driven decision-making.
· Embed artificial intelligence and machine learning capabilities into automated workflows to enable predictive and cognitive solutions.
· Optimize automation pipelines to strengthen scalability, reliability and performance.
· Develop processes to extract, transform and integrate clean, actionable data into automated workflows.
· Explore emerging automation, artificial intelligence and machine learning technologies to continuously improve solutions.
· Communicate technical concepts clearly to stakeholders and maintain robust documentation throughout the automation lifecycle.
· Bachelor’s or Master’s degree in Technology or a related discipline.
· Two to four years of hands-on experience delivering automation solutions using Python and Selenium libraries.
· Practical experience developing solutions using robotic process automation technologies.
· Strong Python programming skills, including experience using Selenium libraries for process automation.
· Experience working with Microsoft Power Apps to support business solutions.
· Working knowledge of Structured Query Language and databases for managing and transforming data.
· Ability to communicate technical concepts clearly to non-technical stakeholders and document automation solutions effectively.
· Professional proficiency in English, with the ability to collaborate effectively across teams and stakeholders.
· Exposure to artificial intelligence and machine learning, particularly integrating predictive or cognitive capabilities into automated workflows.
· Experience using PowerShell or VBScript to integrate scripts with automation platforms and enhance process efficiency.
Commitment to Diversity and Inclusion
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Skills Desired
Artificial Intelligence (AI), Controls Compliance, Critical Thinking, Database Normalization, Data Cleansing, Data Reporting, Data Visualization, Employee Engagement, Financial Management, Give Feedback, Insight Generation, Interpersonal Relationships, Key Driver Analysis (KDA), Managing Ambiguity, Market Understanding, Planning Analysis, Problem Solving, Process Optimization, Stakeholder InfluenceNovartis is an innovative global healthcare company dedicated to reimagining medicine to enhance and extend lives, impacting over 250 million patients worldwide.