Data Scientist

Job ID:
Required Travel :Minimal 
Managerial - No 
Location: :Cyprus- Limassol (Amdocs Site) 

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers' innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers' migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit  

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

We are looking for a Data Scientist to join the global Finance Data & Automation team, building predictive, generative, and automation-driven solutions that power decision-making across Finance.
The role will focus on data engineering, machine learning, and applied GenAI initiatives integrated with SAP, Tableau, and Amdocs' enterprise platforms.

• Design, build, and maintain data pipelines and AI models supporting forecasting, collections, and automation initiatives across Finance.
• Collaborate with Finance SMEs and MIS teams to structure data for predictive analytics and anomaly detection.
• Apply machine learning to real business problems (forecast accuracy, reconciliation, risk detection).
• Integrate AI solutions into existing ecosystems (SAP, Tableau, Dataiku, and Copilot/LLM frameworks).
• Partner with automation engineers to develop self-service analytics and conversational AI assistants.
• Evaluate and enhance model performance; document data lineage and governance.
• Support project managers with technical insights, scoping, and effort estimation.

• Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field.
• 4–6 years experience in data science / AI engineering, ideally in Finance or enterprise environments.
• Strong programming in Python (pandas, scikit-learn, LangChain, OpenAI API, TensorFlow/PyTorch).
• Data engineering skills: SQL, Snowflake, Dataiku, or similar orchestration tools.
• Familiarity with SAP Finance data models (FICO, BW), and BI tools (Tableau, Power BI).
• Understanding of LLM frameworks and GenAI prompt design (LangChain, Azure OpenAI, Copilot).
• Excellent analytical and communication skills; able to convert finance problems into technical solutions.

• You will be part of a dynamic global team that is transforming the way Finance operates through data and AI.
• You will design and implement models that improve forecasting accuracy, enhance process automation, and drive smarter financial insights.
• You will collaborate with Finance, MIS, and Technology experts to translate complex business challenges into scalable, data-driven solutions.
• You will work with the latest GenAI and automation tools to develop innovative approaches to Finance processes.
• You will contribute to strategic decision-making by providing data-driven insights and recommendations.
• You will see the direct impact of your work across global Finance operations.

Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce