Wb Junior finance Jobs – 88 Open Jobs Today

Data Scientist
CodeClouds —Kolkata, West Bengal
- Full-time
- Azure
- Doctoral degree
- Research
- Health insurance
- Paid time off
IN_Associate_AI/ML Developer_App Tech_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Azure
- Master's degree
- SQL
11d
IN_Senior Associate_AI/ML Developer_Application Technology_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Azure
- Master's degree
- SQL
11d
Senior Accountant - Vehicle Electrical Engineering
enexahire.com —Kolkata, West Bengal
- Full-time
- Microsoft Office
- Finance
- Bachelor's degree
Quick apply
Senior Manager - HR
SkillSonics —Kolkata, West Bengal
- Master's degree
- Travel
- Business Administration
senior sales consultant ( passenger and electric vehicles : cars)
crowning consulting —Kolkata, West Bengal
- ₹25,000 - ₹40,000 a month
- Full-time
- CRM software
- Sales
- Microsoft Office
Quick apply
2d
Relationship Manager - SME - TASC
Standard Chartered —Kolkata, West Bengal
- Master's degree
- Business Administration
- MBA
- Health insurance
- Paid sick time
3d
Senior SAP Business One (SAP B1) Implementation Consultant / Project Manager
Ingold Solutions —Kolkata, West Bengal
- Full-time
- PMP
- SQL
- Project management
Accountant(West Bengal Candidates Apply only)
Devant IT Solutions Pvt Ltd —Kolkata, West Bengal
- ₹10,000 - ₹12,000 a month
- Full-time
- Microsoft Excel
- English
- Analysis skills
- Health insurance
- Paid time off
Quick apply
5d
Senior Supply Planning Functional Expert
Indorama Ventures —Kolkata, West Bengal
- Microsoft Excel
- Azure
- SQL
Senior Quantitative Analyst
Cloudcraftz Solutions —Kolkata, West Bengal
- Full-time
- C++
- Bachelor's degree
- Machine learning
Senior Manager
PwC —Kolkata, West Bengal
- Full-time
- Oracle
- Software troubleshooting
- ERP systems
Senior Academic Counselor
NotDisclosed —Mejedihi, West Bengal
- Up to ₹15,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- CRM software
Quick apply
8d
Field Service Engineer Junior (Kolkata)
Fresenius Medical Care —Kolkata, West Bengal
- Full-time
AP Invoice Processing Process Expert - A
Capgemini Sogeti —Kolkata, West Bengal
2d
Oracle Planning Architect - EPM
Grant Thornton INDUS —Kolkata, West Bengal
- Oracle
- APIs
Junior Finance Accountant
Saaki Argus & Averil Consulting —Kolkata, West Bengal
Quick apply
Controls IT Manager
Grant Thornton INDUS —Kolkata, West Bengal
- Finance
- Master's degree
- Business Administration
Controls BP Senior Associate
Grant Thornton INDUS —Kolkata, West Bengal
- Finance
- Master's degree
- Business Administration
Tech Lead - Application Development Microsoft N 4C
Genpact India Pvt. Ltd. —Kolkata, West Bengal
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
3d

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Data Scientist

CodeClouds -
Kolkata, West Bengal

Apply Now

Job details

Full-time

Benefits

Health insurance
Paid time off

Qualifications

TensorFlow
CI/CD
Statistics
Power BI
Azure
Statistics
Doctoral degree
Cassandra
Kubernetes
Calculus
Big data
Enterprise Software
Spark
NumPy
R
NoSQL
Maths
Git
Research
MongoDB
Tableau
Survival analysis
Master's degree
SQL
Pandas
AWS
Julia
Docker
Sentiment analytics
Bachelor's degree
Machine learning
Scala
Continuous integration
Deep learning
Natural language processing
S3
Kafka
Data science
Keras
Redshift
AI
Graph databases
Python
Analytics
Hadoop

Full job description

Available Locations

Kolkata, India

Roles & Responsibilities

Advanced Analytics & Modeling

Design, implement, and deploy predictive, prescriptive, and optimization models at enterprise scale.
Apply mathematical modeling including linear algebra, multivariate calculus, stochastic processes, graph theory, and optimization techniques (convex, non-convex, combinatorial).
Develop statistical models: Bayesian inference, hierarchical modeling, time series, survival analysis, causal inference, and probabilistic graphical models.
Lead feature engineering, dimensionality reduction, embeddings, and representation learning for complex datasets.

Machine Learning & AI

Implement supervised, unsupervised, semi-supervised, and reinforcement learning algorithms.
Build deep learning architectures: CNNs, RNNs, LSTMs, Transformers, Graph Neural Networks (GNNs), and Autoencoders.
Develop NLP solutions: embeddings, word2vec, BERT, GPT-style models, sequence modeling, summarization, and sentiment analysis.
Apply graph analytics for network data, knowledge graphs, and recommendation systems.
Evaluate models rigorously using cross-validation, AUC, precision/recall, F1, SHAP/LIME, and advanced statistical tests.

Enterprise-Scale Data Engineering

Architect and maintain large-scale data pipelines using Spark, Hadoop, Kafka, Flink, or equivalent.
Integrate heterogeneous structured, semi-structured, and unstructured data from multiple enterprise systems.
Ensure data quality, governance, security, and compliance (GDPR, HIPAA, SOC2).

MLOps & Production Deployment

Implement MLOps best practices: model versioning, automated testing, CI/CD pipelines, containerization, and orchestration.
Deploy models on cloud platforms (AWS SageMaker/EMR, GCP Vertex AI, Azure ML) and monitor performance and drift.
Build real-time and batch inference pipelines for high-throughput enterprise applications.

Strategy, Leadership & Collaboration

Translate complex analytical outputs into actionable business insights for executives.
Collaborate with engineering, product, finance, operations, and marketing teams to embed AI/ML solutions.
Mentor and guide junior and mid-level data scientists, fostering best practices in modeling, coding, and documentation.
Lead R&D initiatives, exploring emerging AI/ML technologies and innovation opportunities.

Technical Skills & Tools

Mathematics & Statistics:

Linear algebra, calculus, probability, stochastic processes, discrete math, graph theory, combinatorics.
Regression, Bayesian statistics, hypothesis testing, multivariate analysis, time series forecasting, survival analysis, causal inference, and optimization.

Machine Learning & AI:

Supervised, unsupervised, semi-supervised, reinforcement learning.
Ensemble methods, deep learning (CNN, RNN, LSTM, Transformers, GNN), NLP, autoencoders, embeddings.
Model interpretability: SHAP, LIME, Integrated Gradients.
Hyperparameter optimization, grid search, Bayesian optimization.

Programming & Libraries:

Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM), R, Scala, Julia.
Big Data: Spark MLlib, Hadoop, Kafka, Flink, Dask.
SQL, NoSQL (MongoDB, Cassandra), Data Warehouses (Redshift, Snowflake, BigQuery).
Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI.

Cloud, MLOps & Infrastructure:

AWS (S3, SageMaker, EMR, Lambda), Azure (ML Studio, Databricks), GCP (BigQuery, Vertex AI).
Containers & Orchestration: Docker, Kubernetes.
MLOps frameworks: MLflow, Kubeflow, TFX, Airflow, Prefect.
Monitoring & Logging: Prometheus, Grafana, ELK stack, DataDog.

Enterprise & Governance:

Data governance, security, compliance (GDPR, HIPAA, SOC2).
Scalable architecture for multi-terabyte datasets.
Knowledge of CI/CD pipelines, version control (Git), reproducible research practices.

Soft Skills & Leadership

Ability to communicate complex models in simple business terms.
Strong strategic thinking, problem-solving, and critical reasoning.
Mentoring and developing high-performing data science teams.
Leading cross-functional projects and influencing enterprise AI strategy.

Qualifications

PhD, Master's, or Bachelor's in Mathematics, Statistics, Computer Science, Data Science, Operations Research, or related field.
7–15+ years of enterprise-scale data science, ML, and AI experience.
Proven experience deploying production ML systems at scale.
Hands-on expertise in mathematical modeling, optimization, AI/ML, deep learning, and cloud platforms.
Experience leading analytics teams and enterprise-wide AI/ML projects.

Why Join

Lead enterprise AI/ML innovation at scale.
Collaborate with top-tier technical and business leaders.
Access to state-of-the-art tools, cloud infrastructure, and cutting-edge research.
Drive impactful decisions and strategic initiatives across the organization.

What we offer you

Flexible Working

Competitive Compensation

Insurance Benefits

Training & Mentoring

Frequent Celebrations

Home Office Allowance

Paid Leave Benefits

Retirement Benefits

Partial Course Funding

Team Building Activities

Apply Now

Refine Your Search

junior finance jobs in wb

I want to receive the latest job alerts for junior finance in wb

Explore jobs in more locations

Roles & Responsibilities

Advanced Analytics & Modeling

Machine Learning & AI

Enterprise-Scale Data Engineering

MLOps & Production Deployment

Strategy, Leadership & Collaboration

Technical Skills & Tools

Mathematics & Statistics:

Machine Learning & AI:

Programming & Libraries:

Cloud, MLOps & Infrastructure:

Enterprise & Governance:

Soft Skills & Leadership

Qualifications

Why Join

What we offer you