We’re AtkinsRéalis, 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. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors.
News and information are available at www.atkinsrealis.com or follow us on LinkedIn.
Our teams take great pride in delivering some of the world’s most prestigious projects. This success is driven by our talented people, whose diverse perspectives, expertise, and knowledge set us apart. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.
When it comes to work-life balance, AtkinsRéalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a 'Disability Confident' and 'Inclusive Employer’.
About the Role
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.
Key Responsibilities
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.
Required Skills & Qualifications
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.
Preferred Qualifications
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.
What We Can Offer You:
Varied, interesting and meaningful work.
A hybrid working environment with flexibility and great opportunities.
Opportunities for training and, as the team grows, career progression or sideways moves.
An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
Why work for AtkinsRéalis?
We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.
Meeting Your Needs:
To help you get the most out of life in and outside of work, we offer employees ‘Total Reward’.
Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we’ll discuss any adjustments you might need.
Additional Information:
We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.
We care about your privacy and are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use and transfer your Personal Data.
Link: Everyone Belongs | AtkinsRéalis India
Worker TypeEmployeeJob TypeRegularAt AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.
