andhra pradesh engineering manager Jobs – 104 Open Jobs Today

Data Science Manager-HIH-Evernorth
The Cigna Group —Andhra Pradesh
- Full-time
- Doctoral degree
- Master's degree
- SQL
Senior Software Engineer
Thermo Fisher Scientific —Andhra Pradesh
- Online application
- Computer Science
- Software troubleshooting
- Engineering
Android Developer
YMTS India —Tirupati, Andhra Pradesh
- ₹2,00,000 a year
- Full-time
- CRM software
- Computer science
- Doctoral degree
Senior Manager – Mainframe Services
Ameriprise India —Andhra Pradesh
- Full-time
- Azure
- Computer Science
- Customer service
- Work from home
Application Development Advisor HIH – Evernorth
The Cigna Group —Andhra Pradesh
- Full-time
- Azure
- Oracle
- Software troubleshooting
Support Coordinator
YMTS India —Tirupati, Andhra Pradesh
- ₹1,40,000 - ₹2,00,000 a year
- Full-time
- CRM software
- Computer science
- Doctoral degree
GDS/CG - Solution Architect IAM (m/f/d)
BASF Digital Solutions Private Limited —Andhra Pradesh
- English
- SQL
- Bachelor's degree
12d
ESTIMATION & DESIGN – ENGINEER
PAHARA SYSTEMS —Andhra Pradesh
- AutoCAD
- Diploma
- Communication skills
(#1360) Technical Architect
Sails Software —Visakhapatnam, Andhra Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
Sales & Tendering Managers
VIJAY ELECTRICALS —Vijayawada, Andhra Pradesh
- ₹40,000 - ₹50,000 a month
- Full-time
- Up to 50% travel
- Sales
- Customer service
- Cell phone reimbursement
Quick apply
1d
GDS/A - Cyber Security Compliance and Assurance (M/F/A)
BASF Digital Solutions Private Limited —Andhra Pradesh
- SharePoint
- Communication skills
AI & Intelligent Applications – Senior Manager
Thermo Fisher Scientific —Andhra Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Python Full Stack Developer
Station-S —Tada, Andhra Pradesh
- ₹1,00,000 - ₹1,20,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Shift Lead
Harsco Environmental —Unknown, Andhra Pradesh
- Full-time
- English
- Bachelor's degree
- Diploma
Quick apply
SDET-QE
Sails Software —Visakhapatnam, Andhra Pradesh
- Full-time
- Azure
- Java
- AWS
Site Engineer (Civil)
KRISP INTERIORS —Kakinada, Andhra Pradesh
- ₹12,000 - ₹18,000 a month
- Email
- Civil engineering
- Bachelor's degree
- Travel
Quick apply
Sr. Engineer - Design
Control Component India Pvt. Ltd. —Srikakulam, Andhra Pradesh
- Full-time
- AutoCAD
- CAD
- ERP systems
Quick apply
Full Stack developer
Novisync —Visakhapatnam, Andhra Pradesh
- Computer Science
- DevOps
- Databases
Android Developer
Novisync —Visakhapatnam, Andhra Pradesh
- Computer Science
- Software troubleshooting
- Java

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Data Science Manager-HIH-Evernorth

The Cigna Group -
Andhra Pradesh

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Statistics
Doctoral degree
Master's degree
SQL
Bachelor's degree
Machine learning
Data science
Leadership
Python
Analytics

Full job description

The Manager – Data Science is a hands‑on, player‑coach role within the Data Science Center of Enablement at Evernorth Health Services India. This role is designed for an experienced data science leader who combines strong technical depth with the ability to manage and develop small, high‑performing teams while partnering closely with business stakeholders.

The role requires a balance of:

Hands‑on data science execution

Technical leadership and mentorship

Business problem framing and solution design

This individual will work closely with US‑based business, data science, analytics, and engineering leaders to translate complex business problems into practical, scalable data science solutions, while maintaining a strong connection to the underlying models and analytical work.

Key Responsibilities

Hands‑On Data Science & Technical Leadership

Remain actively hands‑on in applying statistics, classical machine learning, and advanced ML techniques to solve complex business problems.

Design, develop, and evaluate predictive and analytical models, including regression, classification, tree‑based models, ensembles, and time‑series approaches.
Guide feature engineering, model selection, validation, and performance optimization.
Build and apply advanced machine learning and deep learning models where appropriate, using modern frameworks such as PyTorch and/or TensorFlow.
Review and contribute directly to code, ensuring high standards of quality, performance, and maintainability.

Team Leadership & Development

Manage and mentor a small team of data scientists, operating as a player‑coach.
Provide technical guidance, constructive feedback, and hands‑on support to team members.
Help develop team capability across statistics, machine learning, coding, and problem‑solving.
Foster a culture of strong data science fundamentals, curiosity, and continuous learning.

Business Partnership & Problem Solving

Partner closely with business and analytics stakeholders to understand business context, ask the right questions, and frame problems appropriately.
Translate ambiguous business challenges into clear analytical problem statements and solution approaches.
Collaborate with stakeholders to define success metrics, interpret results, and drive data‑backed decisions.
Communicate insights, recommendations, and trade‑offs clearly to both technical and non‑technical audiences.

End‑to‑End Delivery & Collaboration

Own data science initiatives end‑to‑end—from discovery and exploratory analysis through development, deployment support, and post‑launch evaluation.
Partner with data engineering and platform teams to ensure solutions are scalable and production‑ready.
Balance rigor with pragmatism, selecting the right level of model sophistication to meet business needs.
Contribute to strengthening Evernorth India’s data science practice, standards, and impact.

Education:

Bachelor’s or master’s degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, Business or a related quantitative field from a top tier institute

Experience:

10+ years of experience in data science, analytics, or applied machine learning roles. Candidates from consulting background are preferred
Prior experience leading or managing small teams of data scientists.
Strong track record of delivering hands‑on analytical and ML solutions with measurable business impact.
Experience working with large, complex datasets; healthcare, insurance, or pharmacy experience is a strong plus.
Experience partnering with US‑based stakeholders in a global, matrixed environment is preferred.

Skills:

Experience in consulting organizations for data science related engagements
Strong foundation in probability, statistics, and classical machine learning algorithms.
Advanced proficiency in Python and SQL.
Hands‑on experience with ML libraries (e.g., scikit‑learn) and deep learning frameworks (PyTorch and/or TensorFlow).
Solid understanding of the end‑to‑end data science and ML lifecycle.
Ability to guide technical design decisions while remaining hands‑on.
Strong business problem‑solving skills and analytical judgment.
Clear, concise communicator capable of influencing stakeholders across business and technology.
Comfort operating in ambiguity and owning outcomes across complex problem spaces.

Work Hours:

2.30PM IST to 11.30PM IST

Equal Opportunity Statement:

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Apply Now

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The role requires a balance of:

Hands‑on data science execution

Technical leadership and mentorship

Business problem framing and solution design

This individual will work closely with US‑based business, data science, analytics, and engineering leaders to translate complex business problems into practical, scalable data science solutions, while maintaining a strong connection to the underlying models and analytical work.

Key Responsibilities

Hands‑On Data Science & Technical Leadership

Remain actively hands‑on in applying statistics, classical machine learning, and advanced ML techniques to solve complex business problems.

Design, develop, and evaluate predictive and analytical models, including regression, classification, tree‑based models, ensembles, and time‑series approaches.

Guide feature engineering, model selection, validation, and performance optimization.

Build and apply advanced machine learning and deep learning models where appropriate, using modern frameworks such as PyTorch and/or TensorFlow.

Review and contribute directly to code, ensuring high standards of quality, performance, and maintainability.

Team Leadership & Development

Manage and mentor a small team of data scientists, operating as a player‑coach.

Provide technical guidance, constructive feedback, and hands‑on support to team members.

Help develop team capability across statistics, machine learning, coding, and problem‑solving.

Foster a culture of strong data science fundamentals, curiosity, and continuous learning.

Business Partnership & Problem Solving

Partner closely with business and analytics stakeholders to understand business context, ask the right questions, and frame problems appropriately.

Translate ambiguous business challenges into clear analytical problem statements and solution approaches.

Collaborate with stakeholders to define success metrics, interpret results, and drive data‑backed decisions.

Communicate insights, recommendations, and trade‑offs clearly to both technical and non‑technical audiences.

End‑to‑End Delivery & Collaboration

Own data science initiatives end‑to‑end—from discovery and exploratory analysis through development, deployment support, and post‑launch evaluation.

Partner with data engineering and platform teams to ensure solutions are scalable and production‑ready.

Balance rigor with pragmatism, selecting the right level of model sophistication to meet business needs.

Contribute to strengthening Evernorth India’s data science practice, standards, and impact.

Education:

Bachelor’s or master’s degree (PhD preferred) in Statistics, Mathematics, Computer Science, Data Science, Business or a related quantitative field from a top tier institute

Experience:

10+ years of experience in data science, analytics, or applied machine learning roles. Candidates from consulting background are preferred

Prior experience leading or managing small teams of data scientists.

Strong track record of delivering hands‑on analytical and ML solutions with measurable business impact.

Experience working with large, complex datasets; healthcare, insurance, or pharmacy experience is a strong plus.

Experience partnering with US‑based stakeholders in a global, matrixed environment is preferred.

Skills:

Experience in consulting organizations for data science related engagements

Strong foundation in probability, statistics, and classical machine learning algorithms.

Advanced proficiency in Python and SQL.

Hands‑on experience with ML libraries (e.g., scikit‑learn) and deep learning frameworks (PyTorch and/or TensorFlow).

Solid understanding of the end‑to‑end data science and ML lifecycle.

Ability to guide technical design decisions while remaining hands‑on.

Strong business problem‑solving skills and analytical judgment.

Clear, concise communicator capable of influencing stakeholders across business and technology.

Comfort operating in ambiguity and owning outcomes across complex problem spaces.

Work Hours:

2.30PM IST to 11.30PM IST

Equal Opportunity Statement:

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.