AI/ML Computational Science Specialist

• Masters/Ph.D. in Statistics, Mathematics, Computer science, Economics, Physics, Engineering, or related scientific disciplines / MBA in Business Analytics / 4 years undergraduate from any Tier1 Institute
• Minimum 5 to 8 years of industry experience in fields like Financial Services, Capital Markets, Healthcare, Pharmaceuticals, and Retail, with hands-on expertise in making data-driven decisions
• Proficient in statistical tools and languages, including Python, R, and Alteryx
• Proficient in Multivariate Statistics such as Regression Analysis, Logistic Analysis, PCA, Factor Analysis, Cluster Analysis, Generalized Linear Mixed Models, Linear Mixed Effects Model
• Supervised and Unsupervised learning such as Random Forest, Gradient Boosting Machines, Decision Tree, SVM, KNN, k-Means Clustering, DBSCAN
• Forecasting techniques such as ARIMA/SARIMA/ARIMAX, LSTM, GRU, Prophet, Ensemble Methods, Bayesian Structural Time Series
• Boosting Algorithms such as Gradient Boosting Machines (GBM), XGBoost, LightGBM, Adaboost, CatBoost
• Familiarity with the visualization tools like Tableau, PowerBI, Google Data Studio, Qlik and visualization packages such as R-Shiny, Django, Streamlit, DASH, tkinter
• Familiarity with relational databases
• NLP/Text Analytics such as NLP, Text Mining, Sentiment Analysis, Document Clustering, Chatbot
• Deep learning techniques such as ANN, CNN, RNN, Sequence to Sequence Model, Transformer Network,
• GenAI such as Gemini, BERT, Reinforcement Learning, OpenAI, GPT
• Simulation methods such as Montecarlo, Discrete, Agent-based, System-Dynamic
• Optimization methods such as Integer, Linear, Non-Linear Programming, Transport Optimization, Networking & Scheduling Problems
• Machine Learning tools such as PyTorch, TensorFlow, Keras
• Cloud-based computing platforms such as AWS, GCP, Azure DB
• Excel and data related applications like analysis tool pack

• In this role, you ll be responsible for analyzing and solving moderately complex problems, which may involve creating new solutions or adapting existing methods and procedures to meet specific needs
• You ll need to understand the strategic direction set by senior management and how it aligns with team goals
• While your primary interaction will be with your direct supervisor, you ll also collaborate with peers and possibly management levels within Accenture or with clients
• Guidance will be provided when determining methods and procedures for new assignments
• The decisions you make will often have a direct impact on your team
• Depending on the assignment, you may manage small teams or work independently on projects, either at a client site or within Accenture
• The role may also require you to work in rotational shifts, ensuring flexibility and adaptability to meet the needs of the team and the client

Qualification