About EG: At EG, we build software that makes a
difference. Our industry-specific software help people and
businesses work smarter every day. From doctors spending more time
with patients to builders running safer, more efficient projects.
Our software is built by peers from the industry and backed by EG’s
scale for stability, innovation, and security. If you’re ambitious,
curious, and take pride in ownership, you’ll thrive here. You’ll be
trusted to grow your skills, shape meaningful solutions, and make
an impact together with talented colleagues across borders. Join us
in creating software that works for people - not software that
makes people work. Work mode: Work from Office Location: Mangaluru
Years of experience: 5+ years About COE Team: Join a high-impact AI
COE team at the forefront of innovation, where we don’t just build
models - we shape AI-powered digital transformation across business
domains. This role offers the opportunity to work on complex,
cutting-edge problems in Agentic AI, GenAI, traditional ML, and
advanced analytics - using the latest tools and cloud technologies
to build real-world solutions deployed at scale. As a Senior Data
Scientist, you’ll be part of a core team that's designing and
delivering end-to-end AI architectures and solutions across diverse
business units and domains. Your work will directly influence
products that span multiple industries, and you’ll have the
autonomy to bring your innovations to life, while collaborating
with exceptional minds in the field. Responsibilities: The AI COE
operates as a centralized AI strategy and execution team,
supporting multiple business units across the organization. With a
dedicated team of AI/ML experts, data engineers, and architects, we
are responsible for: Designing scalable AI architectures
(Traditional, GenAI, and Agentic AI). Building AI use cases
deployed across hybrid environments - including on-premises
infrastructure, Azure, and AWS cloud ecosystems. Enabling business




units to adopt and maintain AI solutions. Performing feasibility
studies and defining technology roadmaps for AI initiatives.
Supporting integration of AI accelerators into existing business
applications. We collaborate closely with Business Unit teams
across domains and geographies, enabling long-term value creation
through AI. Your workday, your tasks and mandatory skill set:
Engage with product/business teams to understand high-level
requirements and translate them into concrete AI/ML solutions Lead
feasibility analysis, design solution architecture, and provide
technical estimation and resource planning. Develop, train, and
evaluate AI/ML and GenAI models for varied business use cases.
Build and deploy end-to-end data pipelines and AI solutions on
Azure/AWS using PaaS/IaaS services. Collaborate with developers,
engineers, and business SMEs to operationalize models into
production. Leverage technologies such as OpenAI, Claude, Gemini,
LangChain, RAG frameworks, and Vector DBs. Evangelize AI best
practices, drive adoption of emerging AI technologies, and act as a
thought leader within the COE and across Business Units. Conduct
internal trainings, hands-on sessions, and mentoring workshops to
upskill Business Unit teams and junior data scientists. Guide
Business Unit teams in transitioning AI projects to their product
stack and support future enhancements. Document best practices,
mentor junior team members, and ensure governance and responsible
AI practices. Required Skills: Bachelor's in computer science and
engineering or related discipline. An advanced degree (e.g., MS /
MTech.) is preferred but not required,



Experience is the most
relevant factor. 5+ years of experience in AI/ML with last 2 years
in GenAI, LLMs, RAG, embeddings, prompt engineering, agent
orchestration, MCP, A2A. Strong programming skills in Python and
experience in product development on large-scale AI platforms.
Proven experience in ML frameworks (TensorFlow, PyTorch, Keras),
NLP, and applied AI. Full-stack engineering exposure –
Angular/React/NodeJS/Streamlit with backend in Python and SQL/NoSQL
databases. Experience in building scalable applications using Azure
and AWS cloud-native services. Sound understanding of OOP/OOD, data
structures, design patterns, and diagrams (UML, ER, DFD).
Familiarity with Agile/Lean/XP/DevSecOps, GitHub Actions, SonarQube
and CI/CD pipelines. Exposure to visualization tools, dashboarding
(Power BI, Streamlit, etc.) Excellent interpersonal, communication,
and team collaboration skills. What can you expect from us : A
professional, cutting-edge, and business-driven environment with
exposure to real-world problems and large-scale AI solutions. Work
with super-talented and committed colleagues in a culture of
collaboration, curiosity, and continuous learning. Flexibility to
experiment and ownership to implement ideas that matter. Extensive
opportunities for personal and professional development through our
learning academies. A strong focus on employee well-being,
inclusion, and best-in-class benefits. Our Values Lead the Industry
— We bring deep industry expertise and help our customers lead
their industry. Make it Happen — We take ownership, move fast and
deliver real impact. Stronger Together — We collaborate across
borders with high standards, trust, openness and no politics.
Curious what it's really like to work at EG? Explore life at EG,
meet some of your future colleagues, and see our values in action:
Working at EG See all our open positions here Learn more about EG
here .

📌 Senior Data Scientist - Technology Integration andTransformation (Mangalore)
🏢 EG A/S
📍 Mangalore