Bengaluru Karnataka Library science Jobs – 906 Open Jobs Today

Lead Data Scientist
Société Générale —Bengaluru, Karnataka
- Data analysis skills
- Master's degree
- SQL
1h
Chief Librarian
MVJ Medical College & Research Hospital, Hoskote-Bangalore —Bengaluru, Karnataka
- ₹35,000 - ₹50,000 a month
- Full-time
- Doctoral degree
- Master's degree
- Supervising experience
- Health insurance
Quick apply
Image Processing Scientist
SatSure Analytics India —Bengaluru, Karnataka
- Master's degree
- Bachelor's degree
- Machine learning
- Health insurance
Staff AI Scientist
GE HEALTHCARE —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Research
Assistant Librarian
GIBS Business School —Bengaluru, Karnataka
- Master's degree
- Bachelor's degree
- Communication skills
Quick apply
Data Science Practitioner
Accenture —Bengaluru, Karnataka
- Full-time
- Machine learning
- AI
- Python
13d
Paralegal Global Industry Sector Legal
Accenture —Bengaluru, Karnataka
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Creative Copywriter
Miror Therapeutics Pvt Ltd —Vasanth Nagar, Bengaluru, Karnataka
- ₹60,000 - ₹90,000 a month
- Full-time
- In-person
- Communication skills
- Marketing
- Health insurance
Quick apply
Data Scientist
Snapmint —Bengaluru, Karnataka
- Azure
- Engineering
- SQL
Librarian
Vogue Institute of Art & Design —Bengaluru, Karnataka
- ₹18,000 - ₹20,000 a month
- Email
- Microsoft Outlook
- Master's degree
- Bachelor's degree
Quick apply
8d
SDET
TestVagrant —Bengaluru, Karnataka
- Full-time
- Computer Science
- Bachelor's degree
- JavaScript
Data Science
MobileProgramming —Bengaluru, Karnataka
- Data analysis skills
- SQL
- Machine learning
Research Chemist
Open Ego —Bengaluru, Karnataka
- ₹2,00,000 - ₹6,00,000 a year
- Full-time
- Research
- Master's degree
- Agile
Quick apply
7d
Data Scientist
Cellworks Research India —Bengaluru, Karnataka
- Computer Science
- Java
- Master's degree
Princ Engr-AI Science
Verizon —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
10d
AI/ML Engineer (0-1 yrs of experience)
Cyncly —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
1h
Data Scientist
CoffeeBeans Consulting —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Dist Engr-AI Science
Verizon —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
- Work from home
Intern Research Chemist
Open Ego —Bengaluru, Karnataka
- Up to ₹1,20,000 a year
- Master's degree
- Bachelor's degree
- In-person
Quick apply
7d
Jr. Game developer
Tentworks Interactive —Bengaluru, Karnataka
- Full-time
- Computer Science
- B.Sc
- Bachelor's degree
- Paid time off
- Work from home
Quick apply
14d

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Lead Data Scientist

Société Générale -
Bengaluru, Karnataka

Apply Now

Job details

Permanent | Contractual / Temporary
1 hour ago

Qualifications

Law
Data analysis skills
Master's degree
SQL
Machine learning
Natural language processing
Software development
Regression analysis
Data science
AI
Python

Full job description

Responsibilities

A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.

Key Responsibilities:

Develop and implement high-impact AI/ML use cases that support our organizational objectives.

Communicate findings, insights, and methodologies clearly to non-technical stakeholders.

Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.

Validate models with appropriate statistical and machine learning evaluation techniques.

Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.

Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.

Ensure data quality and reliability through rigorous analytical practices.

Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.

Requirements:

6-7 years of hands-on experience in Data Science.

Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)

Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)

Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)

Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)

Competency in software development methodologies and versioning tools. (Must Have)

Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).

Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).

Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have

Profile required

Key Responsibilities:

Develop and implement high-impact AI/ML use cases that support our organizational objectives.

Communicate findings, insights, and methodologies clearly to non-technical stakeholders.

Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.

Validate models with appropriate statistical and machine learning evaluation techniques.

Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.

Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.

Ensure data quality and reliability through rigorous analytical practices.

Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.

Requirements:

6-7 years of hands-on experience in Data Science.

Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)

Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)

Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)

Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)

Competency in software development methodologies and versioning tools. (Must Have)

Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).

Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).

Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have

Why join us

“We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.

Business insight

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow
will be shaped by all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
Still hesitating?
You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices and sharing their skills with charities. There are many ways to get involved.

Diversity and Inclusion

We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents , regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.

Apply Now

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library science jobs in bengaluru karnataka

Lead Data Scientist

Chief Librarian

Image Processing Scientist

Staff AI Scientist

Assistant Librarian

Data Science Practitioner

Paralegal Global Industry Sector Legal

Creative Copywriter

Data Scientist

Librarian

SDET

Data Science

Research Chemist

Data Scientist

Princ Engr-AI Science

AI/ML Engineer (0-1 yrs of experience)

Data Scientist

Dist Engr-AI Science

Intern Research Chemist

Jr. Game developer

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