Senior Data Scientist

Job Description

Were AtkinsRealis, a world-leading Design, Engineering and Project Management organization. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data, and technology to transform the world's infrastructure and energy systems. 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 such as Engineering Services, Nuclear, Operations & Maintenance and Capital.

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Our teams are proud to deliver on some of the most prestigious projects across the world. It's thanks to our talented people and their diverse thinking, expertise, and knowledge. 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, AtkinsRealis 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.

Job Description:

We are looking for a Senior Data Scientist with extensive experience in Predictive Analytics and Generative AI. The ideal candidate will have around 10+ years of experience and a strong foundation in machine learning, statistical modelling, and deep learning. In this role, you will design and implement AI models that drive data-driven decision-making and innovative solutions across various applications.

Key Responsibilities:

• Model Development: Design, develop, and deploy advanced predictive models using machine learning techniques to forecast trends, behaviours, and outcomes.
• Generative AI Solutions: Lead the design and implementation of generative AI models (e.g., GANs, VAEs) to create synthetic data, text, images, or other content based on project requirements.
• AI Research & Innovation: Stay up to date with the latest developments in AI and machine learning, including state-of-the-art generative and predictive modeling techniques, to continuously innovate and improve existing systems.
• End-to-End Projects: Work on end-to-end AI/ML projects from data collection, processing, feature engineering, model training, and evaluation to production deployment.
• Model Evaluation: Ensure model accuracy and robustness by performing rigorous testing and fine-tuning using advanced validation techniques and continuous monitoring.
• Mentorship: Provide guidance and mentorship to junior data scientists and data engineers within the team.

Required Qualifications:

• Bachelors/Masters/PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 10+ years of experience in data science, machine learning, and AI.
• Strong expertise in predictive modelling techniques such as regression analysis, time series forecasting, classification, and clustering.
• Hands-on experience with Generative AI models (GANs, VAEs, etc.) and experience in generating synthetic data, images, or text.
• Proficiency in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch.
• Experience with deep learning architectures like CNNs, RNNs, Transformers, and attention-based models.
• Experience with cloud platforms (e.g., Azure or AWS or Google Cloud) for scaling AI models and deploying solutions.
• Strong knowledge of data preprocessing and feature engineering techniques.
• Experience with NLP, computer vision, or similar domains is a plus.
• Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Prior experience with LLMs (Large Language Models) or similar cutting-edge AI technologies.

Soft Skills:

• Strong problem-solving abilities with a strategic mindset.
• Excellent collaboration skills and the ability to work cross-functionally with various teams.
• Strong attention to detail and a commitment to delivering high-quality solutions.
• A passion for continuous learning and staying ahead in AI and machine learning advancements.

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 AtkinsRealis

We at AtkinsRealis 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 individuals 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 well 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 on our Careers site to know more about how we collect, use, and transfer your Personal Data.

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