ARE YOU READY to step up to the New and take your technology expertise to the next level? Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our clients' most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses.
Industry X
We embed innovation, intelligence and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future.
We define Industry X as digital reinvention of manufacturing & engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth.
Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Visit us here to find out more about Industry X.
You Are:
A curious learner and innovator, with your finger on the pulse of the latest technology solutions. You are passionate about data, analytics and artificial intelligence, and you enjoy transforming complex data into actionable insights that drive business value. You thrive in fast-paced environments where data engineering and machine learning come together to solve real-world challenges and enable smarter decision-making.
You are excited by the opportunity to design scalable data platforms, build robust data pipelines and develop advanced machine learning models that support digital transformation initiatives. There's a depth and breadth to your knowledge of data technologies, predictive analytics and intelligent solutions, and you're generous about sharing that expertise with colleagues. Communication and collaboration come naturally to you, allowing you to work effectively across multidisciplinary teams. And when it comes to problem-solving, your analytical mindset and creativity help you turn complex challenges into innovative solutions.
What will you do?
You will work closely with our clients in innovative projects to help them transform, grow and adapt in an increasingly digital world. Specifically, you will be part of teams designing and implementing modern data and AI solutions that support advanced analytics, machine learning and intelligent operations.
Build and maintain scalable data pipelines supporting AI, machine learning and analytics systems.Integrate data from sources such as IoT sensors, smart meters, ERP systems, APIs and external platforms.Develop and maintain data lakes, data warehouses and real-time data pipelines.Develop and evaluate machine learning models for forecasting, classification and predictive analytics use cases.Build time-series models using techniques such as LSTM, Prophet and Transformer-based architectures.Perform data analysis, feature engineering and model optimization.Ensure data quality, availability, security and reliability across the data ecosystem.Collaborate with Data Scientists, ML Engineers, Software Engineers and business stakeholders to translate requirements into scalable data and AI solutions.Support model validation, deployment and continuous improvement to ensure reliable and high-performing solutions.Who We're Looking For:Bachelor's degree in Computer Science, Data Science, Data Engineering, Engineering or a related field.At least 2-3 years of experience in Data Engineering, Machine Learning, Data Science or a related field.Strong Python and SQL skills.Experience with ETL/ELT pipelines and modern data platforms.Experience with machine learning, predictive modelling and time-series forecasting techniques.Experience with relational or NoSQL databases.Familiarity with technologies such as Spark, Databricks, Airflow, Kafka and machine learning frameworks.Good knowledge of data analysis, model evaluation and optimization techniques. 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, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discountsContinuous hard and soft skills training & development through global platforms & local academyCareer coaching and mentorship to help you manage your career and develop professionallyOngoing strengths and skills based evaluation processVarious opportunities to develop your career across a spectrum of clients, industries and projectsDiverse and inclusive cultureCorporate citizenship initiatives (access to volunteering opportunities, charity work etc.)Under our Brain Regain initiative, extra relocation benefits may apply
