Data Scientist II

Job Description

Overview

We are looking for a highly skilled Senior Data Scientist with deep hands-on expertise in machine learning, computer vision, generative AI, and cloud-based AI solutions (preferably Azure). The ideal candidate will drive innovation across our AI/ML initiatives and work closely with cross-functional teams to design, develop, and scale intelligent solutions that power real-world applications.

Your role

• Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
• Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
• Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
• Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.
• Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
• Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
• Mentor junior data scientists and contribute to AI knowledge sharing across teams.

About you

• 8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
• Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
• Expertise in computer vision, including object detection, image classification, and segmentation.
• Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
• Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
• Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
• Strong analytical, problem-solving, and communication skills.
• Master's in Computer Science, Data Science, or related field.

• Experience working in cloud-native AI environments (Azure, AWS, or GCP).
• Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG).
• Publications, patents, or active participation in AI communities or open-source contributions.

Reward & benefits

Explore the rewards and benefits that help you thrive - at every stage of your life and your career.

This includes:

. Comprehensive life insurance coverage.

. Premium medical insurance for you and your dependents.

. Generous annual leave balance.

. Flexible and hybrid work solutions.

. Remote work opportunities outside of country.

. Company gratuity scheme.

. Discretionary bonus program.

. Relocation assistance.

. Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRealis

We're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

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