Technical Specialist-Data Engg
BirlaSoft · Pune · onsite · Posted 28d ago
Undisclosed6–8 yrsfulltimeSourced from
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About this role
Area(s) of responsibility
.
3. Data Scientist (Technical Specialist) Specialist Grade
Experience: 6-8 years Location: [To be filled] Engagement: Full-time
Role Expectations
- Own the design, development, validation, and productionization of AI/ML models for financial forecasting.
- Analyze historical data to identify predictive features and business-relevant patterns.
- Develop time-series forecasting models (Prophet, ARIMA, LSTM, XGBoost) tailored to project and quantify forecast accuracy against agreed thresholds.
- Build a Conversational AI layer using Azure OpenAI + RAG patterns to enable naturallanguage queries over financial and workforce data.
- Partner with FP&A SMEs to translate business drivers into model features and interpretable outputs.
Reports To
Senior Technical Lead (Python) / Delivery Manager
Grade
Technical Specialist (above Sr. App Developer, below Sr. Technical Lead)
Program
FP&A Reporting Automation & AI Forecasting
- Deliver explainable AI outputs (SHAP, feature importance, etc.) so that Finance users can trust and act on model recommendations.
- Collaborate with the Sr. Application Developer to operationalize models - MLOps pipelines, model registry, monitoring, and retraining triggers.
- Document experiments, model cards, assumptions, and limitations for audit and governance review. Must-Have Skills
- Python for Data Science: 5+ years hands-on with pandas, NumPy, scikit-learn, statsmodels, and Jupyter-based experimentation.
- Time-Series Forecasting: Deep experience with Prophet, ARIMA/SARIMA, exponential smoothing, XGBoost/LightGBM, and deep learning (LSTM/Transformer) for financial or operational forecasting.
- Statistical Modeling: Regression, classification, clustering, feature engineering, hyperparameter tuning, cross-validation, and rigorous model evaluation.
- Azure ML Stack: Hands-on with Azure Machine Learning (AML), MLflow, Azure OpenAI, and model deployment as endpoints or batch jobs.
- LLM & GenAI: Practical experience with prompt engineering, RAG (Retrieval-Augmented Generation), embeddings, vector stores (Azure AI Search / FAISS / Pinecone), and LangChain or Semantic Kernel.
- Explainability: SHAP, LIME, partial dependence plots, and communicating model behavior to non-technical Finance stakeholders.
Preferred / Good-to-Have Skills
- Prior experience with Finance / FP&A / Corporate Planning use cases.
- Exposure to Energy, Oil & Gas, or EPC project economics
- Exposure to agent frameworks (LangGraph, AutoGen, Semantic Kernel) for building autonomous analytical agents.
Sourced from naukri
Skills
AutomationAzure AiAzure Machine Learningapplication developerclusteringclassificationdata scientistCorporate Planningazure mlAzure OpenAIARIMAConversational AideploymentDeep LearningAmlMicrosoft AzureData ScienceArtificial Intelligence
About Birlasoft
BirlaSoft
IT Services & Consulting
10.9k+
employees
1995
31 years old
Pune, Maharashtra
India
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Birlasoft combines the power of a domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!
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