Lead Assistant Manager

2 - 4 years

5 - 9 Lacs

Posted:21 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Lead Assistant Manager

EXL/LAM/1449540

    ServicesGurgaon
    Posted On
    12 Aug 2025
    End Date
    26 Sep 2025
    Required Experience
    2 - 4 Years

Basic Section

Number Of Positions

4

Band

B2

Band Name

Lead Assistant Manager

Cost Code

D015077

Campus/Non Campus

NON CAMPUS

Employment Type

Permanent

Requisition Type

New

Max CTC

800000.0000 - 1800000.0000

Complexity Level

Not Applicable

Work Type

Work From Office – Fully Working From EXL/ Client Offices

Organisational

Group

Analytics

Sub Group

Analytics - UK & Europe

Organization

Services

LOB

Analytics - UK & Europe

SBU

Analytics

Country

India

City

Gurgaon

Center

EXL - Gurgaon Center 38

Skills

Skill

SAS

DATA AGGREGATION

DATA ANALYSIS AND COORDINATION

PYTHON

ML

DATA SCIENCE

SQL

MODEL DEVELOPMENT

AI FABRIC

Minimum Qualification

B.TECH/B.E

MCA

OTHER

Certification

No data available

Job Description


Job Description – Data Scientist

We are seeking a highly motivated and skilled Data Scientist with 2–3 years of hands-on experience in data science, statistical modeling, and cloud-based analytics. The ideal candidate will have strong technical expertise in SAS, Azure Fabric, Python, and SQL, along with excellent communication skills and a working knowledge of insurance concepts.

Required Qualifications

  • Bachelor’s / master’s degree in computer science, Statistics, Mathematics, Engineering, or a related field
  • 2–3 years of experience in data science, analytics, or a related role
  • Proficiency in Python, SAS, SQL, Azure Fabric, ML
  • Good to have experience on data visualization tools (e.g., Power BI, Tableau)
  • Strong problem-solving skills and analytical thinking
  • Excellent verbal and written communication skills

Key Responsibilities

  • Design, develop, and deploy predictive models and analytical tools using Python, SAS, and SQL
  • Leveraging Azure Fabric for scalable data processing and model deployment
  • Collaborate with data engineers, business analysts, and stakeholders to understand business requirements and deliver data-driven solutions
  • Communicate complex analytical findings in a clear and compelling manner to technical and non-technical audiences
Workflow

Workflow Type

L&S-DA-Consulting

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