Amdocs is hiring for a FRESHER entry level Data Scientist role in India

Position:

• Data Scientist

• Entry level role focused on analytics driven decision making

• Exposure to Artificial Intelligence and Generative AI use cases

• Hands on involvement in data preparation, analysis, and model evaluation

• Collaboration oriented position within cross functional teams

Company:

• Amdocs

• Global technology company serving communication and media service providers

• Strong focus on software products, platforms, and digital services

• Known for long term partnerships with telecom and enterprise clients

• Publicly listed organization with global delivery presence

Location:

• Pune, Maharashtra, India

• Work location aligned with Amdocs India operations

• Access to engineering, analytics, and product teams

• Exposure to global stakeholders from this location

Job type:

• Full time employment

• Permanent role within the organization

• Opportunity for long term career growth

• Structured performance and growth reviews

Job mode:

• Onsite

• Work from Amdocs office location

• Collaboration focused environment

• Flexibility supported as per business needs

Job requisition id:

• 207012

Years of experience:

• Open to freshers

• Suitable for entry level candidates

• Also open for professionals with up to three years of experience

• Learning mindset preferred over extensive prior experience

Company description:

• Amdocs is a global leader in software and services for communication and media companies

• The organization supports service providers in building modern digital experiences

• It works closely with telecom operators, media firms, and enterprise clients worldwide

• Amdocs focuses on cloud adoption, automation, analytics, and next generation networks

• The company actively supports innovation in areas such as Artificial Intelligence and data driven platforms

• With a presence across multiple countries, Amdocs offers global exposure to its employees

• The organization emphasizes inclusive hiring and diverse teams

• Employees are encouraged to grow professionally while maintaining personal wellbeing

• Amdocs promotes a culture of ownership, accountability, and continuous learning

• The company invests in training, internal mobility, and long term career planning

• Amdocs operates with a strong ethical framework and responsible technology practices

• The organization supports community initiatives and sustainability programs

• Leadership encourages experimentation and problem solving

• Teams work on real world scale systems impacting millions of users

• Amdocs is known for stability combined with innovation driven growth

Profile overview:

• This role focuses on building and supporting data driven solutions

• The Data Scientist works closely with analytics, AI, and product teams

• Responsibilities include understanding business objectives and translating them into data requirements

• The role involves collecting and integrating data from multiple internal and external sources

• Candidates will prepare datasets through cleaning, transformation, and feature creation

• Strong emphasis is placed on exploratory data analysis and insight generation

• The role supports model evaluation and performance tracking

• Exposure to Generative AI tools is a key aspect of this position

• The professional will help improve analytical workflows using modern tools

• Data quality, governance, and security are core responsibilities

• The role contributes to ethical and responsible AI initiatives

• Continuous improvement and learning are integral to daily work

• The position suits individuals who enjoy problem solving with data

• Communication of insights to technical and non technical stakeholders is required

• The role offers a balanced mix of technical work and collaboration

Qualifications:

• Bachelor degree or Master degree in Data Science, Statistics, Mathematics, or related fields

• Strong foundation in quantitative and analytical thinking

• Knowledge of Python or R for data analysis tasks

• Experience using SQL for querying structured datasets

• Familiarity with data manipulation libraries such as Pandas and NumPy

• Understanding of basic machine learning concepts

• Awareness of supervised and unsupervised learning techniques

• Experience creating charts and reports using visualization tools

• Exposure to tools such as Tableau, Power BI, Matplotlib, or Seaborn

• Ability to interpret results and explain findings clearly

• Logical approach to problem solving

• Willingness to learn new tools and technologies

• Team oriented mindset and collaborative attitude

• Good verbal and written communication skills

Additional info:

• Familiarity with cloud platforms is considered a plus

• Exposure to AWS, GCP, or Azure adds value

• Knowledge of large scale data processing tools is beneficial

• Understanding of Spark or similar technologies is advantageous

• Awareness of MLOps or AIOps concepts is helpful

• Participation in academic projects or personal portfolios is encouraged

• Open source contributions are appreciated but not mandatory

• Learning orientation is valued over tool mastery

• Role offers exposure to real production systems

• Supportive mentorship and onboarding structure

• Equal opportunity employment practices are followed

• Inclusive work culture is actively promoted

• Performance based growth opportunities are available

• Ethical AI and responsible data usage are emphasized

• Strong focus on long term skill development

Please click here to apply.