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Vodafone • Bangalore, Karnataka, India

Assistant Manager_Generative AI_Bangalore

Job Description

About VOIS

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK.
Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.
Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.

VOIS India

In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.

Core Competencies, Knowledge and Experience:

Mode: Hybrid

Location: Bangalore / Pune

Experience 3 to 5 years

Core Competencies, Knowledge and Experience:

• Minimum experience of 4 years in data science.
• Excellent communication & presentation skills with track record of engaging with business project leads
• Flexibility and problem solving
• Previous experience in Telecom would be a distinct advantage
• Graduate from tier-1 or tier-2 college preferred with good academic record

Must have technical / professional qualifications:

• Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques
o Expert in Python
• Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers.
• Good to have Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.)
• Need to be worked on minimum 3 modelling projects till now in different areas:
o Predictive Modelling Mandatory kin actual business projects with monetary impact
• Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data
• Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models
• Good stability in employments and from reputed tier-1 employers in past.

Key accountabilities and decision ownership:

• Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive
• Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes
• Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery

VOIS Equal Opportunity Employer Commitment

VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.

As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do.

By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills!

Apply now, and we’ll be in touch!

Company benefits

UK (28), India (22), Egypt (21), Hungary (20), Romania (20), Albania (22), Turkey (14) days annual leave + bank holidays
Work from anywhere scheme – work for up to 20 days/year abroad (dependant on country)
Annual bonus – dependant on company performance
Employee discounts
Personal development days – once per quarter
Learning platform – access to Harvard Business Publishing, MIT Horizon and Skillsoft
Enhanced maternity leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced paternity leave – 16 weeks (paid) with a phased return to work over 6 months
Volunteer days – up to 5 days
Coaching – access to a free certified internal pool of coaches
Mentoring
Carer’s leave
Adoption leave – 16 weeks (paid) with a phased return to work over 6 months
Enhanced sick days
Mental health platform access
Mental health first aiders
Employee assistance programme
Complimentary Medical Services – 24/7 online doctor service
Compassionate leave
Home office set up
Buddy scheme
Referral bonus
Early finish Fridays
Buy or sell annual leave
Cycle to work scheme
Life insurance
Sabbaticals
Salary sacrifice
Share options
Teambuilding days
Faith rooms
Enhanced pension match/contribution
LinkedIn learning license

Working at Vodafone

Company employees:

85,887

Gender diversity (m:f):

61:39

Hiring in countries

Albania

Czechia

Democratic Republic of the Congo

Egypt

France

Germany

Greece

Hong Kong

Hungary

India

Ireland

Italy

Luxembourg

Portugal

Romania

South Africa

South Korea

Spain

Tanzania

Türkiye

United Kingdom

United States

Office Locations

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