AI/ML Scientist at Accenture

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

04 Oct, 26

Salary

0.0

Posted On

06 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PyTorch, TensorFlow, Keras, Scikit-learn, GenAI, LLM, MLOps, Deep Learning, NLP, Azure ML, Databricks, Spark, SQL, Feature Engineering, Predictive Modelling

Industry

Business Consulting and Services

Description

ARE YOU READY to step into the New Era (NewRA) of AI-driven banking? At Accenture Newra AI Hub, we are not just building technology, we are redefining how banking operates. As part of our strategic collaboration with Piraeus, Newra is designed to responsibly embed AI at the core of its business, moving beyond experimentation to real-world impact at scale. Built to make a real difference, Newra reflects our belief that AI creates value only when it genuinely improves people’s lives. You will work on advanced AI solutions that span the full spectrum of the bank -from core banking systems to customer experience- simplifying complexity, automating critical processes and delivering measurable results where they matter most. Joining Newra means becoming part of a high-performing team of innovators at the beginning of a major reinvention. This is a space for people who approach AI with depth, discipline and purpose. You will collaborate across disciplines, develop future-proof skills, and help turn technology into real-world transformation. As an AI/ML Scientist, you’ll build practical, scalable AI and ML solutions for a leading bank, from credit risk and fraud detection to customer intelligence, automation, and GenAI-enabled services. You'll work across the full ML lifecycle: data pipelines, model training, evaluation, and production deployment using MLOps best practices, collaborating closely with engineers, product teams, and banking experts, to turn research into measurable impact. What you'll build ML models for banking use cases: credit scoring, fraud detection, customer segmentation, personalisation, risk intelligence, and process automation Deep learning and GenAI components using transformers, embeddings, fine-tuning, and task-specific model adaptation Scalable data and feature pipelines that support experimentation, model training, validation, and production deployment Model evaluation frameworks covering accuracy, robustness, explainability, bias, drift, and business value MLOps workflows that make models reproducible, observable, governed, and continuously improvable APIs, services, and model integrations that embed ML capabilities into banking products, workflows, and internal platforms A/B testing and performance benchmarking approaches to validate solution quality and measurable impact Reusable ML assets, patterns, and best practices shared across AI Hub squads What we need B.Sc., M.Sc. or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or equivalent experience Strong Python with NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, or Keras 2–3 years developing, validating, and improving ML models for real-world use cases Solid grasp of supervised / unsupervised learning, deep learning, NLP, feature engineering, and predictive modelling Hands-on with GenAI and LLM techniques: transformers, embeddings, fine-tuning, prompt experimentation, model adaptation Experience with scalable data pipelines and MLOps for training, evaluation, deployment, monitoring, and improvement Familiarity with Azure ML, Azure AI Services, Databricks, Spark, SQL, or NoSQL databases Understanding of model evaluation, benchmarking, explainability, bias, drift, Responsible AI, and governance Nice to have: MLOps tooling: MLflow, Kubeflow, Airflow; cloud AI platforms, Databricks / Spark GPU systems familiarity for training optimisation Responsible AI: model benchmarking, A/B testing, governance and audit requirements What's in it for you Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, parental leave and various corporate discounts Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people Career coaching and mentorship to help you manage your career and develop professionally Ongoing strength and skill-based evaluation process Various opportunities to develop your career across a spectrum of clients, industries and projects Diverse and inclusive culture Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work Under our Brain Regain initiative, extra relocation benefits may apply To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/. #LI-Hybrid About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture

Responsibilities

Develop and deploy scalable AI/ML solutions for banking use cases such as credit scoring, fraud detection, and customer intelligence. Manage the full ML lifecycle including data pipelines, model training, evaluation, and production deployment using MLOps best practices.