🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Are you ready to help us reimagine the way technology and energy shape our lives in the future At Aker Solutions we are changemakers with nearly 200 years of experience, committed to helping the energy industry #PowerTheChange towards a net-zero future. We are driven by collaboration and curiosity, building tomorrow's technological solutions today! We are looking for a SeniorData Scientist to design, build, and deploy advanced machine learning models for industrialapplications. The role will focus on transforming complex operational, sensor, production, and process data intoreliable predictive and prescriptive solutions that improve efficiency, quality, safety, and decision-making. The idealcandidate has strong experience in applied machine learning, statistical modeling, industrial data, and productiongrademodel development.Key Responsibilities Develop, validate, and deploy advanced deep learning and machine learning models for industrial use casessuch as predictive maintenance, process optimization, anomaly detection, quality prediction, demand forecasting,and asset performance monitoring. Work with large-scale structured, unstructured and time-series data fromindustrial systems, sensors, machines,production lines, and operational platforms. Collaborate with engineers, domain experts, product teams, and business stakeholders to identify high-valuemachine learning opportunities. Translate industrial challenges into data science problems and deliver practical, scalable solutions. Build robust data pipelines, feature engineering workflows, and model evaluation frameworks. Monitor model performance in production and support continuous improvement of deployed models. Masters or PhD in Data Science, Computer Science, Statistics,Mathematics, or a related field 8+ years of professional experience as a Data Scientist,Machine Learning Engineer, or similar role. Strong professional experience in deep learning frameworks (TensorFlow, PyTorch). Proven experience in building machine learning models for real-world, production-oriented use cases. Strong knowledge of supervised and unsupervised learning, time-series modeling, anomaly detection, optimization,and statistical analysis. Experience working with industrial, manufacturing, energy, logistics, process, or IoT data. Proficiency in Python (Pandas, Scikit-learn, NumPy, etc.), SQL, and data visualization tools. Understanding of MLOps practices, model deployment, monitoring, versioning, and reproducibility. Experience with predictive maintenance, digital twins, process control, industrial automation, or sensor analytics. Experience with Azure cloud platform. Experience with Databricks, Spark, Kubernetes, MLflow, Airflow, or similar tools. Knowledge of edge deployment or real-time machine learning systems. 1.3 Desired Skills Industrial machine learning Time-series forecasting Predictive maintenance Anomaly detection Image classification Object detection Feature engineering Statistical modeling MLOps Python SQL Cloud platforms Data pipelines Model deployment and monitoring Our aim is to build a long-term mutually beneficial relationship with you, in order to motivate and retain your talent. We offer a variety of global and local initiatives which support your well-being and development, so that you feel valued throughout your career - professionally and personally. Solid pension and insurance coverage: We take care of our employees by offering competitive pension, insurance, and health plans that ensure your well-being today and in the future. Enjoy access to free fitness facilities, sport groups and equipment rental, and a variety of cabins for rent. Remote work flexibility: Work from home up to two days per week, offering you the convenience and work/life balance you need. Vibrant Young Professional network: Connect, grow and thrive in our international community, Young Solutioneers. Diversity and Inclusion Diversity fuels creativity and innovation, making it a key competitive advantage. We embrace all aspects of diversity, including disabilities, religion, sexual orientation, and more. We have experience with accommodating various needs and are always open to finding solutions that suit you. We enable low-carbon oil and gas production and develop renewable solutions to meet future energy needs. By combining innovative digital solutions and predictable project execution we accelerate the transition to sustainable energy production. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.