AI/ML Computational Science Specialist

Accenture; Navi Mumbai; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture is seeking a Data Scientist - Python with 7 to 11 years of experience for its Navi Mumbai operations. The role focuses on AI/ML computational science, statistically driven decision support, and cross-functional collaboration across global teams.

Qualifications include a Masters/PhD in a quantitative field, proficiency in Python and ML/DL, and experience with cloud platforms, NLP, and data visualization tools. Roles involve complex problem solving and client-focused delivery.

Qualifications

• Masters/Ph.D. in Statistics, Mathematics, CS, Economics, Physics, Engineering or related fields.
• 5–8 years of industry experience in Financial Services, Healthcare, Retail, etc.
• Proficient in Python, R, and analytics tooling; strong ML/DL fundamentals.
• Experience with forecasting, NLP, dashboards, and cloud platforms.

Responsibilities

• Analyze complex data problems end-to-end from design to deployment.
• Collaborate with cross-functional teams and data scientists globally.
• Develop and productionize ML/AI solutions using Python and DL frameworks.
• Create visualizations with Tableau/PowerBI and communicate insights.

Skills

Python

R

Alteryx

Tableau

PowerBI

NLP

Deep learning

Machine learning

Statistical modeling

Cloud platforms

Education

Masters/Ph.D. in Statistics or related field

Tools

AWS

GCP

Azure

PyTorch

TensorFlow

Keras

Job description

About The Role

Skill required: Data Scientist - Python (Programming Language)

Designation: AI/ML Computational Science Specialist

Qualifications:Any Graduation

Years of Experience:7 to 11 years

Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

What would you do

Accenture Operations is a leader in process outsourcing industry recognized by several analysts. For five years in a row, the International Association of Outsourcing Professionals (IAOP) has named Accenture the No. 1 global outsourcing service provider. We are strategic partner to several clients and have a client-focused culture characterized by strong and enduring relationships with more than 400 of the world s leading companies. We provide BPO services to client operations in 150 countries and 45+ languages and provide infrastructure services to clients in 49 countries and 20 languages. We have our market leading 10 focus offerings in business process outsourcing (FA, Marketing, Talent HR, Supply Chain, Procurement, Network, Life Sciences, Utilities, Credit Services, Health Admin and Care Management) and leading infrastructure service offerings.Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases, and engaging in fundamental research to develop novel solutions. They also leverage the vast global network of Accenture to collaborate with Accenture Tech Labs, Accenture Open Innovation and Accenture Analytics for creating solutions.Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced analytics projects from design to execution.

What are we looking for

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 InstituteMinimum 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 decisionsProficient in statistical tools and languages, including Python, R, and AlteryxProficient in Multivariate Statistics such as Regression Analysis, Logistic Analysis, PCA, Factor Analysis, Cluster Analysis, Generalized Linear Mixed Models, Linear Mixed Effects ModelSupervised and Unsupervised learning such as Random Forest, Gradient Boosting Machines, Decision Tree, SVM, KNN, k-Means Clustering, DBSCANForecasting techniques such as ARIMA/SARIMA/ARIMAX, LSTM, GRU, Prophet, Ensemble Methods, Bayesian Structural Time SeriesBoosting Algorithms such as Gradient Boosting Machines (GBM), XGBoost, LightGBM, Adaboost, CatBoostFamiliarity with the visualization tools like Tableau, PowerBI, Google Data Studio, Qlik and visualizationpackages such as R-Shiny, Django, Streamlit, DASH, tkinterFamiliarity with relational databasesNLP/Text Analytics such as NLP, Text Mining, Sentiment Analysis, Document Clustering, ChatbotDeep learning techniques such as ANN, CNN, RNN, Sequence to Sequence Model, Transformer Network, GenAI such as Gemini, BERT, Reinforcement Learning, OpenAI, GPTSimulation methods such as Montecarlo, Discrete, Agent-based, System-Dynamic Optimization methods such as Integer, Linear, Non-Linear Programming, Transport Optimization, Networking Scheduling ProblemsMachine Learning tools such as PyTorch, TensorFlow, KerasCloud-based computing platforms such as AWS, GCP, Azure DBExcel and data related applications like analysis tool pack

Roles and Responsibilities

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 needsYou ll need to understand the strategic direction set by senior management and how it aligns with team goalsWhile your primary interaction will be with your direct supervisor, you ll also collaborate with peers and possibly management levels within Accenture or with clientsGuidance will be provided when determining methods and procedures for new assignmentsThe decisions you make will often have a direct impact on your teamDepending on the assignment, you may manage small teams or work independently on projects, either at a client site or within AccentureThe 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

Any Graduation