Data Scientist at EXL
EXL is hiring a Data Scientist in Uttar Pradesh, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.
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1. Job details
EXL
Data Scientist
Uttar Pradesh, India
Not disclosed by employer
See the job description
On the employer’s site
2. Job description from EXL
Job description: GECX Developer
Key Skills:
Python
Python Programming (Advanced):. You must be proficient in Python, utilizing
object-oriented programming, modern type hinting, and asynchronous patterns.
Environment & Dependency Management: Familiarity with modern Python package
managers like uv, virtual environments (.venv), and pip.
Command Line Interface (CLI) Proficiency: Ability to navigate CLI tools, as well
as general shell scripting
Conversational AI / Agent Architecture (Dialogflow CX)
Generative Agent Design: Shifting from legacy intent-based state machines to
generative, goal-oriented architectures (understanding Apps, Agents, Sub-agents,
and Sessions within CX Agent Studio).
Prompt Engineering & Context Management: Writing robust system instructions,
managing conversational memory, and optimizing LLM context windows for voice
interactions.
Dialogflow CX Fundamentals: Understanding the underlying mechanics of Dialogflow
CX.
Google Cloud Platform (GCP)
Cloud Compute & Serverless: Deploying agent components, webhook integrations, or
backend APIs using Google Cloud Functions or Cloud Run.
Gcloud CLI Mastery: Utilizing gcloud for project configuration and
authenticating environments via application-default credentials.
API Integration & Tool Building
Tool Calling / Function Calling: Designing and registering external APIs
("Tools") that the LLM can invoke to retrieve data, execute backend tasks, or
interact with external services.
Data Handling & Payload Parsing: Using utility functions to handle pagination,
flatten API responses, and convert complex Protocol Buffers (Protos) into usable
data.
Testing, Evaluation & CI/CD
Automated Agent Evaluation (Evals): Creating and orchestrating "Golden tests"
and automated simulation runs using SCRAPI’s evals module.
Performance Metrics Tracking: Extracting, analyzing, and optimizing agent
performance metrics (like real-time latency), which is highly critical for voice
voice interactions.
Agentic IDE workflows: Using LLM-assisted development tools (like Gemini CLI or
Claude Code) as integrated into the SCRAPI workflow to speed up agent
scaffolding and debugging.
Experience:
We are looking for Google CX Developers with at least 2 – 4 years of relevant
experience.
RESPONSIBILITIES
Job description: GECX Developer
Key Skills:
Python
Python Programming (Advanced):. You must be proficient in Python, utilizing
object-oriented programming, modern type hinting, and asynchronous patterns.
Environment & Dependency Management: Familiarity with modern Python package
managers like uv, virtual environments (.venv), and pip.
Command Line Interface (CLI) Proficiency: Ability to navigate CLI tools, as well
as general shell scripting
Conversational AI / Agent Architecture (Dialogflow CX)
Generative Agent Design: Shifting from legacy intent-based state machines to
generative, goal-oriented architectures (understanding Apps, Agents, Sub-agents,
and Sessions within CX Agent Studio).
Prompt Engineering & Context Management: Writing robust system instructions,
managing conversational memory, and optimizing LLM context windows for voice
interactions.
Dialogflow CX Fundamentals: Understanding the underlying mechanics of Dialogflow
CX.
Google Cloud Platform (GCP)
Cloud Compute & Serverless: Deploying agent components, webhook integrations, or
backend APIs using Google Cloud Functions or Cloud Run.
Gcloud CLI Mastery: Utilizing gcloud for project configuration and
authenticating environments via application-default credentials.
API Integration & Tool Building
Tool Calling / Function Calling: Designing and registering external APIs
("Tools") that the LLM can invoke to retrieve data, execute backend tasks, or
interact with external services.
Data Handling & Payload Parsing: Using utility functions to handle pagination,
flatten API responses, and convert complex Protocol Buffers (Protos) into usable
data.
Testing, Evaluation & CI/CD
Automated Agent Evaluation (Evals): Creating and orchestrating "Golden tests"
and automated simulation runs using SCRAPI’s evals module.
Performance Metrics Tracking: Extracting, analyzing, and optimizing agent
performance metrics (like real-time latency), which is highly critical for voice
voice interactions.
Agentic IDE workflows: Using LLM-assisted development tools (like Gemini CLI or
Claude Code) as integrated into the SCRAPI workflow to speed up agent
scaffolding and debugging.
Experience:
We are looking for Google CX Developers with at least 2 – 4 years of relevant
experience.
QUALIFICATIONS
Bachelor's/Master's in Engineering 2-5 years
3. Skills that usually matter in data and AI roles
General guidance from TechJobs360, not part of EXL’s posting. The job description above is what counts for this role.
| Area | What to be comfortable with |
|---|---|
| Languages | Python, SQL, Scala |
| Frameworks & tools | Spark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse |
| Computer science basics | Data structures, algorithms, complexity |
| Ways of working | Version control, code review, testing, reading other people's code |
4. How to prepare for a Data Scientist interview
Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:
A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.
Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.
Often design and trade-off questions sized to the role: an API, a component, or a small system.
Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.
5. Take-home pay example (FY 2026–27, new tax regime)
An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.
| Component | Example: ₹12 LPA | Example: ₹24 LPA |
|---|---|---|
| Basic salary (40% of CTC) | ₹40,000 / mo | ₹80,000 / mo |
| Employee EPF (12% of basic) | -₹4,800 / mo | -₹9,600 / mo |
| Income tax (TDS) | -₹6,933 / mo | -₹32,450 / mo |
| Professional tax | -₹200 / mo | -₹200 / mo |
| Approx. in-hand | ₹81,344 / mo | ₹1,44,304 / mo |
Work out the take-home pay for your own offer, in either tax regime.
Open the salary calculator →6. Questions and how to apply
How do I apply?
Use the apply button below. It opens EXL’s own application page.
Does TechJobs360 recruit for this job or charge a fee?
No. We list openings from employers’ career sites. EXL runs the hiring, and nobody should ask you to pay to apply.
Is this job still open?
We check listings against the employer’s page every day and take down jobs that have closed.
Should I apply if I don’t match every requirement?
Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.
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