Maharashtra Manager, data scientist Jobs – 16508 Open Jobs Today

Manager- Senior Data Scientist
Vodafone —Pune, Maharashtra
- Full-time
- SQL
- Machine learning
- Python
Junior Data Scientist For -Mumbai
Vacancy for MIS Haribhakti.co.in —Mumbai District, Maharashtra
- ₹6,00,000 - ₹9,00,000 a year
- Full-time
- Microsoft Excel
- Master's degree
- SQL
- Flexible schedule
- Paid sick time
Quick apply
10d
Data Scientist- Phyton
JobIQ Careers —Pune, Maharashtra
- ₹9,00,000 - ₹12,00,000 a year
- Full-time
- Machine learning
- In-person
- AI
Quick apply
Manager – Strategic Support
Bright Future —Unknown, Unknown, Maharashtra
- ₹6,00,000 - ₹8,00,000 a year
- Full-time
- Microsoft Excel
- English
- Master's degree
Quick apply
IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist
Bosch Group —Nashik, Maharashtra
- Full-time
- Microsoft Powerpoint
- Azure
- Java
Quick apply
2d
Senior Data Scientist
ABC Consultants —Mumbai, Maharashtra
- ₹25,00,000 - ₹27,00,000 a year
- Full-time
- Data analysis skills
- English
- SQL
- Flexible schedule
Quick apply
Consultant - Data Scientist
VERACITIZ SOLUTIONS PVT. LTD —Navi Mumbai, Maharashtra
- ₹4,00,000 - ₹7,00,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick apply
Manager - Application Scientist
LANXESS India Private Limited —Thane District, Maharashtra
- Full-time
- Doctoral degree
- English
- Master's degree
- Health insurance
Data Scientist
WebMobril Technologies Pvt. Ltd. —Pune, Maharashtra
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- SQL
- Machine learning
- In-person
Quick apply
Assistant Manager - Research Scientist
LANXESS India Private Limited —Thane District, Maharashtra
- Full-time
- Doctoral degree
- Laboratory experience
- English
- Health insurance
Data Scientist
EXL Service —Pune, Maharashtra
- Full-time
- Machine learning
- AI
- Python
Data Scientist
UniAthena —Pune, Maharashtra
- SQL
- AWS
- Machine learning
Quick apply
IT Head
Talent Vision Services —Mumbai, Maharashtra
- ₹40,00,000 a year
- Full-time
- Computer Science
- ERP systems
- Master's degree
Quick apply
#ACN GN - SONG - MT New - Data Scientist - Associate Manager
Accenture —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- SQL
Lead Data Scientist
EXL Service —Pune, Maharashtra
- Full-time
- Data analysis skills
- SQL
- Bachelor's degree
Senior Data Scientist
NielsenIQ —Pune, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
Quick apply
ASSISTANT MANAGER
SPML Infra —Pune, Maharashtra
- ₹10,00,000 - ₹11,25,000 a year
- Doctoral degree
- Microsoft Office
- Master's degree
Vice President, Data Scientist
The Bank of New York Mellon Corporation —Pune, Maharashtra
- Full-time
- Computer Science
- SQL
- Analysis skills
Lead Data Scientist
DemandMatrix —Pune, Maharashtra
- Databases
- SQL
- AWS
- Work from home
- Flexible schedule
Quick apply
Data Scientist People Data Analytics & Insights
Syngenta Group —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply

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Manager- Senior Data Scientist

Vodafone -
Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Power BI
D3.js
Big data
Software deployment
Spark
R
NoSQL
Google Cloud Platform
Tableau
SQL
Machine learning
Natural language processing
A/B testing
Data science
Data visualization
Python

Full job description

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About this Role

We are seeking an experienced data science professional to play a pivotal role within the Big Data & AI community at VOIS. This role focuses on using advanced analytics and machine learning to generate actionable insights, improve decision-making, and enable innovation across Vodafone. The individual will work with large-scale structured and unstructured datasets, partner closely with business and technology teams, and help industrialise predictive and prescriptive solutions that address real-world business challenges.

What you’ll do

Analyse large volumes of structured and unstructured data to test hypotheses, uncover patterns, and deliver actionable business insights.
Design, develop, validate, and deploy machine learning models that support predictive and prescriptive decision-making.
Build and maintain data visualisation dashboards to communicate insights clearly to a wide range of stakeholders.
Collaborate with data engineers, analysts, and business stakeholders to translate business problems into scalable analytical solutions.
Contribute to and help shape the global analytics community, ensuring continuous improvement and adoption of leading-edge analytical techniques.

Who you are

A data science professional with a strong problem-solving mindset and the ability to translate complex business questions into analytical solutions.
Experienced in working collaboratively within cross-functional teams and comfortable sharing knowledge and feedback.
Brings at least six years of hands-on experience developing analytical models using large-scale datasets in a commercial, consumer, or digital environment.
Proficient in Python and PySpark, with end-to-end experience from problem definition through to production deployment.
Strong grounding in statistical learning and machine learning techniques, including regression, tree-based models, clustering, NLP, deep learning, and reinforcement learning.
Experienced with modern machine learning libraries such as scikit-learn, MLlib, TensorFlow, PyTorch, H2O, and R.
Knowledgeable in data warehousing and big data technologies, including SQL, NoSQL, Spark, and related ecosystems.
Familiar with experimentation, A/B testing, and developing analytical reports and insights.
Exposure to data visualisation tools such as Qlik, Shiny, Dash, D3, Tableau, or Power BI is valued
Experience with cloud platforms (ideally Google Cloud) and containerisation technologies is desirable.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you

The opportunity to work on high-impact, real-world business problems using advanced analytics and AI.Exposure to a global analytics community and collaboration with diverse stakeholders across Vodafone.A role that supports continuous learning, experimentation, and innovation in data science.
(Inferred from the responsibilities and team context provided in the job description.)

What skills you will learn

Applying advanced machine learning techniques at enterprise scale.
Translating complex analytical outcomes into clear, stakeholder-ready insights.
Working with cloud-based and big data ecosystems in a global organisation.
(Inferred from the scope and expectations of the role.)

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Alert

Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
#JDEnhancedByTARA

Follow us on social media

LinkedIn: https://www.linkedin.com/company/vois/
Facebook: https://www.facebook.com/voisglobal
Instagram: https://www.instagram.com/voisglobal

Apply Now

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manager, data scientist jobs in maharashtra

Manager- Senior Data Scientist

Junior Data Scientist For -Mumbai

Data Scientist- Phyton

Manager – Strategic Support

IN_RBIN_Assistant Manager/Senior Engineer_Data Scientist

Senior Data Scientist

Consultant - Data Scientist

Manager - Application Scientist

Data Scientist

Assistant Manager - Research Scientist

Data Scientist

Data Scientist

IT Head

#ACN GN - SONG - MT New - Data Scientist - Associate Manager

Lead Data Scientist

Senior Data Scientist

ASSISTANT MANAGER

Vice President, Data Scientist

Lead Data Scientist

Data Scientist People Data Analytics & Insights

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