Data Scientist

Company DescriptionA.P. Moller - Maersk is a leading integrated transport and logistics company dedicated to connecting the world and enabling global trade. With a mission to help individuals and businesses grow and thrive, Maersk operates in 130 countries with a workforce of approximately 110,000 employees. The company is committed to innovation and sustainability, delivering value-driven solutions for its customers and society.Role DescriptionLocation: Bangalore (Hybrid)Experience:- Junior Level: 4+ years- Senior Level: 8+ yearsThis full-time role as a Data Scientist located in Bengaluru. We are seeking talented and driven Data Scientists to join our growing team. Whether you're early in your career or bring years of experience, we value deep technical expertise and a strong problem-solving mindset. You’ll work on impactful projects involving Classical Machine Learning or Generative AI.Candidates should demonstrate in-depth understanding of model architectures, and while specialization in either Classical ML or Generative AI is expected, a working knowledge of both is required.Key ResponsibilitiesDevelop, evaluate, and deploy ML/AI models for forecasting and predictive analytics.Own end-to-end model lifecycle: from data exploration and feature engineering to deployment and monitoring.Collaborate with product, engineering, and business teams to translate requirements into scalable data science solutions.Conduct architectural deep-dives and contribute to technical design discussions.Stay current with advancements in ML/AI and proactively apply them to solve business problems.(For senior roles) Mentor junior team members and lead technical initiatives.QualificationsMaster's or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.Proficiency in Data Science techniques, including predictive modeling and machine learning applicationsStrong knowledge of Statistics and Data Analytics for interpreting and analyzing key datasetsPrior experience as a Data Scientist in a professional setting.Strong expertise in either Classical ML or Generative AI:Classical ML: Regression, Classification, Ensemble Methods, Time Series Forecasting, etc.Generative AI: Transformers, Diffusion Models, LLMs, GANs, VAEs, Agentic AI, RAG etc.Solid understanding of underlying architectures and mathematical foundations of ML/AI models.Hands-on experience with forecasting techniques (e.g., ARIMA, Prophet, RNNs).Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).Ability to explain and discuss core concepts across both Classical ML and Generative AI domainsFamiliarity with at least one cloud platform (AWS, Azure, GCP).Ability to work collaboratively in cross-functional teams and apply problem-solving skills to complex business needsStrong programming skills in languages such as Python, R, or similar, are highly desirableBonus Points forExperience building and deploying large-scale ML/AI applications in production.Cloud-native development experience (e.g., using cloud services for training, deployment, monitoring).What We OfferOpportunity to work on cutting-edge AI/ML problems with real-world impact.A collaborative, intellectually stimulating environment. Competitive compensation and flexible work arrangements.Continuous learning and growth opportunities.