Data Modelling Specialist Job at Vodafone (Pune)

Data Governance & Data Quality Specialist

You will play a key role in the implementation and adoption of the data governan...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s / Bachelor's degree with 9 - 12 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields
Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.)
In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation
In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc.
In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy
Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics
Ability to manage scrum teams

Job Responsibility

Responsible for the adoption of data governance framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.)
Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management
Works with Enterprise MDM and Reference Data to enforce standards and data reusability
Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles
Develops policies for data, metadata, privacy, lineage, access, security, retention, and archival
Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains
Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains
Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations
Build strong relationship with key business leads and partners to ensure their needs are met

Data Scientist / Advanced Data Analytics Specialist

At Codvo.ai, we are committed to building scalable, future-ready data platforms ...

Location

India , New Delhi

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Exp- 5+ Years
Notice Period: Immediate to 30 days preferred
Willingness to travel and stay at installation/commissioning sites (New Delhi) during project phases
Candidates available to join within 15–30 days are preferred

Job Responsibility

Perform advanced data analysis using statistical and analytical techniques
Develop, deploy, and interpret predictive and AI/ML models
Build and apply dynamic process models for industrial systems
Translate complex data insights into actionable recommendations
Collaborate with cross-functional teams and present findings effectively
Support on-site installation and commissioning activities as required

Fulltime

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...

Location

United States , Atlanta

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
Familiarity with regulatory or finance data environments and reporting workloads
5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
AWS data services
data pipelines

Job Responsibility

Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
Implement secure data access patterns following least-privilege principles for pipelines and datasets
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

Fulltime

Senior Specialist Data Science and Predictive Care

The Senior Specialist Data Science & Predictive Care leads data-driven transform...

Location

Congo, the Democratic Republic of the , Kinshasa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or related field
4-6 years of experience in Data Analytics, Data Science, Predictive Analytics, Business Intelligence, or Customer Operations Analytics
Experience in telecom industry is highly desirable
Experience working with large datasets and operational analytics
Exposure to AI, Machine Learning, Predictive Care, or Generative AI initiatives is an advantage
Experience working with cross-functional business and technology teams essential

Job Responsibility

Create predictive models to forecast customer actions, churn, repeat calls, fraud, and service issues
Build machine learning frameworks for proactive customer care
Design segmentation models for personalized engagement
Develop anomaly detection for monitoring and fraud management
Use statistical and AI methods to pinpoint root causes of customer pain and inefficiency
Support Generative AI and LLM applications in customer operations
Develop scoring and recommendation engines to boost engagement and decisions
Drive proactive customer care initiatives through real-time analytics and predictive intelligence
Identify customer issues before escalation and recommend preventive actions
Enable intelligent customer treatment strategies based on behavioral and operational insights

Specialist Data Warehouse Developer

We are seeking a skilled and passionate Data Modeler / Data Engineer / ETL Devel...

Location

Spain , Madrid

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Solid experience in data modeling techniques (3NF, star/snowflake schemas, data vault) and data architecture best practices
Proficiency in SQL
Experience in metadata management, data lineage, and governance practices
Proficient in developing ETL/ELT pipelines using modern frameworks (e.g., SQL Procedures, dbt, Dataflow)
Experience with cloud data platforms, preferably Google Cloud Platform (GCP)
knowledge of BigQuery, Teradata, Oracle
Familiarity with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI
Hands-on with data preparation and profiling tools (e.g., Talend, Trifacta, Collibra)
Experience working in Agile/Scrum
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field

Job Responsibility

Analyze business requirements and translate them into effective data models and technical designs
Design and maintain conceptual, logical, and physical data models DWHs
Build and manage scalable, reliable, and secure data pipelines (ETL/ELT) in hybrid and cloud environments
Ensure data consistency, integrity, and quality across data platforms
Collaborate closely with data architects, analysts, and software developers to deliver end-to-end solutions
Continuously optimize data flows for performance and cost-efficiency

What we offer

Hybrid work model
Bonus on top of the gross salary
Meal voucher (Ticket Restaurant)
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training

Fulltime

Specialist Data Science & Analytics

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Spain , Madrid

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experience in agile way of working
Strong communication skills with ability to influence senior stakeholders
Storytelling with data
Hands‑on proficiency in Python for data analysis, automation, and AI/ML solution development, following software engineering best practices (version control, modular design, reusable components)
Practical experience with any Cloud (GCP, Azure, AWS)
Working knowledge of Machine Learning and GenAI solutions
Experience defining, building and supporting end‑to‑end analytics or AI products, from requirements gathering and design through to preproduction and production deployment
Proven experience collaborating across business, IT and delivery team

Job Responsibility

Identify opportunities to improve business outcomes using analytical techniques, working with Local Markets and Group to understand their requirements and find and/or develop appropriate analytical products
Build and deliver data science and GenAI models that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer & employee engagement improvements)
Build and deliver automations which will help digital transformation of stakeholders
Partner with Product Manager & delivery teams within VOIS to deliver analytics solutions
Create, own and maintain reusable data science products and services that can be deployed across Vodafone
Drive innovation by employing new analytical techniques
Stakeholder management and engagement with new stakeholders from Group and OpCos to address their analytics needs and shape and define our Analytics Products/Projects Portfolio based on these requirements
Ensure best-practices and standards for software development in Data Science are followed across the wider team
Own specification and delivery of analytical products and services
Manage analytics portfolio and products by continuous improvement of existing products and developing new products based on stakeholder needs

What we offer

Hybrid work model
Bonus on top of the gross salary
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees and Family
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training

Fulltime

AI Data Specialist

We are seeking an AI Data Specialist with healthcare domain expertise to support...

Location

Canada , Toronto

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science/IT/Data Science, Health Informatics, or related field
8+ years of experience working as data specialist
Strong understanding of US healthcare payer data (claims, eligibility, clinical, pharmacy)
Proficiency in Python and SQL and experience with data quality and validation practices
Experience working in cross‑functional teams

Job Responsibility

Acquire, validate, and manage healthcare data from EHR/EMR systems, claims platforms, laboratory systems, medical devices, and third-party vendors
Ensure data completeness, accuracy, consistency, timeliness, and integrity across the healthcare data lifecycle
Perform data profiling, cleansing, normalization, and enrichment activities
Transform raw healthcare data into analytics- and AI-ready datasets
Collaborate closely with data engineering, AI/ML, analytics, clinical, and business teams to support solution delivery
Support operational reporting, dashboards, analytics products, and AI model consumption
Work with healthcare data standards and messaging formats, including HL7 (v2/v3) and FHIR
Apply and validate industry-standard coding systems: ICD-10, CPT, HCPCS, LOINC, SNOMED CT, RxNorm, NDC codes
Handle structured, semi-structured, and unstructured healthcare datasets (e.g., flat files, JSON, XML)
Prepare curated datasets for descriptive, predictive, and prescriptive analytics

Fulltime

Strategy Analysis & Modelling Specialist

Build and maintain financial models and scenario analyses to assess market devel...

Location

United Kingdom , London

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experience in financial modelling, scenario analysis and forecasting, with a focus on insight and impact
Confidence embedding data‑led thinking into strategic planning and risk conversations
A strong understanding of the UK telecoms landscape, including market and regulatory dynamics
Advanced capability in Excel and data tools such as VBA, SQL or similar
Sound commercial judgement and the ability to weigh options thoughtfully
Experience exploring competitor activity, products and positioning
A naturally curious mindset—you enjoy asking questions and understanding the story behind the numbers
The ability to connect market and consumer insights to meaningful strategic direction
Experience in using AI agents to enhance output is desirable

Job Responsibility

Build and maintain financial models and scenario analyses to assess market developments and strategic initiatives
Quantify impacts on cash flow and business plan targets through robust modelling
Provide actionable insights and data-driven recommendations to support multi-year strategic planning
Conduct market analysis and competitive benchmarking to inform modelling assumptions
Collaborate with strategy, finance, and segment teams to integrate modelling outputs into planning and risk management
Continuously improve modelling tools and processes to enhance forecasting accuracy and agility

What we offer

Excellent basic salary plus bonus and Vodafone benefits
Up to 28 days off plus bank holidays
Paid time for charity work
Discounts
Vouchers
Pension plan
Learning tools
Top-notch parental leave policies

Fulltime

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Data Modelling Specialist

Job Description

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