AI/ML Computational Science Specialist (Navi Mumbai)

Accenture; Navi Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture in Navi Mumbai is seeking a Data Scientist specialized in Python to join the AI/ML Computational Science team. The role requires 7 to 11 years of experience and a strong background in statistics, ML, NLP, and DL, with hands-on data-driven decision making across financial services, healthcare, and other sectors.

The candidate will collaborate with global teams, leverage tools like Python/R/Alteryx, visualization suites, and cloud platforms to design and implement advanced analytics

Qualifications

• 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; 5–8 years of industry experience in Financial Services, Capital Markets, Healthcare, Pharmaceuticals, and Retail, with hands-on data-driven decision making.
• Proficient in Python, R, and Alteryx.
• Proficient in multivariate statistics such as Regression, PCA, GLMM, etc., and ML methods.
• Experience with Supervised and Unsupervised learning (RF, GBM, SVM, KNN, clustering).
• Forecasting techniques (ARIMA/SARIMA/Prophet, DL).
• Familiarity with visualization tools (Tableau, PowerBI, Google Data Studio) and dashboards.
• Familiarity with relational databases and NLP/Text Analytics.
• Experience with Deep Learning (ANN, CNN, RNN, Transformers) and tools (PyTorch, TensorFlow, Keras).
• Cloud platforms (AWS, GCP, Azure) and data-related applications.

Responsibilities

• Analyze and solve moderately complex problems, adapting methods to meet client needs.
• Collaborate with data scientists, sales, and delivery teams to deliver analytics projects end-to-end.

Skills

Python

R

Alteryx

Multivariate statistics

Supervised learning

Unsupervised learning

Forecasting

ML algorithms

NLP

Deep learning

Visualization

Education

Masters/PhD in Statistics, Mathematics, CS, Economics, Physics, Engineering or MBA in Business Analytics

Tools

Tableau

PowerBI

Google Data Studio

Qlik

R Shiny

Django

Streamlit

DASH

tkinter

PyTorch

TensorFlow

Keras

AWS

GCP

Azure

SQL

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 solid 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 offers 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 decision
• 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 as AWS, GCP, Azure DBExcel and data related applications like analysis tool pack

Roles and Responsibilities

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 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 .