CrawlJobs Logo

Data & AI Expert

Türkiye, İstanbul · Job Posted May 04, 2026
Apply Position
Job Link Share

Job Description

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Job Responsibility

  • Delving into data from different systems, structured and unstructured, both batch and real time, to discover hidden relationships and useful information
  • Translating complex datasets into key strategy insight and powerful capabilities to the business
  • Engage with stakeholders in order to understand their business processes, imperatives, constraints and priorities
  • Build, develop and maintain automated reporting systems, dashboards and performance metrics that support key business decisions
  • Discover insights that will guide strategic decisions and uncover optimization opportunities by using advanced analysis techniques
  • Examine, interpret and report results of analytical initiatives to team members/stakeholders
  • Prepare relevant presentations, reports and analysis to provide foresight to local, regional and global management
  • Deliver analysis and/or investigation on every KPI and identify high risk areas and opportunities
  • Establish and manage business definitions of KPIs
  • Understand how the data is generated throughout the systems (when and how / during which processes and activities / data flows)
  • Work with Data&Analytics Data Modeler and Technology teams in order to have an effective base for dashboards, scorecards and reports
  • Work in harmony with agile practices
  • Ensure 100% regulation / legal and security compliance

Requirements

  • Graduate from a reputable university with strong record of achievement, preferably engineering, MIS, statistics or economy
  • High degree of initiative and attention to detail
  • Understanding of business drivers and what data is and should be used for
  • Analytics experience and business intelligence knowledge in telecommunication sector
  • Good understanding of business modelling, analysis and reporting
  • Good command in English
  • Good presentation skills with ability to present complex details with simple, visual outputs
  • 2+ years experience in similar position
  • Experience with business intelligence tools (e.g. SQL Developer, Business Objects, Tableau, Pyhton)
  • Strong interpersonal skills and ability to work in a multi-cultural environment
  • Working as a part of a team
  • Excellent analytical/problem solving skills
  • Ownership and drive
  • Excellent relationship-building and interpersonal skills
  • Proven ability to meet deadlines and manage business expectations
  • Open minded
  • Flexibility and adaptability
  • Excellent oral/written communication skills

What we offer

  • Vflexy: Flexible Benefits Program
  • Hybrid working kit
  • Ergonomic kit allowance
  • Digital meal voucher
  • Flexible transportation allowance
  • Employee assistance hotline & counselling
  • Comprehensive and flexible private health insurance
  • Discounted price deals for wide range of products & services

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data & AI Expert

8 matching positions

Expert AI & Data Science

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital tran...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A successfully completed Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
  • At least three years of hands-on experience in building and deploying machine learning models, including a minimum of two years working with cloud-based AI services, preferably on Google Cloud Platform (e.g. Vertex AI, AutoML, BigQuery ML)
  • Strong proficiency in Python, with experience in ML and GenAI libraries (e.g. scikit-learn, TensorFlow, Hugging Face, OpenAI SDK)
  • Experience developing and deploying LLM-based applications (chatbots, summarizers, semantic search)
  • Knowledge of MLOps and GenAIOps workflows, model retraining, and monitoring
  • Understanding of GenAI architectural patterns such as RAG, agentic workflows, and embedding stores
  • Strong command of SQL and working with structured and semi-structured data
  • Familiarity with APIs and tools for integrating GenAI capabilities into enterprise applications
  • Extensive professional experience in distributed, multinational and complex organizations
  • Fluent English (C1) skills written and spoken
Job Responsibility
Job Responsibility
  • You will develop and operationalize machine learning and generative AI models for high-impact business use cases
  • You will design and implement data science models, including feature engineering and rapid prototyping
  • You will build and automate AI pipelines, integrating them into business processes and tools
  • You will manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
  • You will design and deploy GenAI applications for use cases such as content summarization, intelligent document processing, and chatbot assistants
  • you will ensure performance optimization and cost-efficiency of AI models in cloud environments
  • You will collaborate with data engineers and architects to align AI components with enterprise data architecture
  • You will work closely with BI and automation teams to operationalize AI insights across platforms
  • You will contribute to the standardization of reusable GenAI components, prompts, and evaluation techniques
  • You will ensure alignment with responsible AI guidelines, data privacy requirements, and IT security standards
What we offer
What we offer
  • A diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
  • An attractive salary package
  • Meal Allowance: Delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance: For employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's.
  • Parking Slot
  • Fulltime
Read More
Arrow Right

Senior AI & Data Strategy Expert

At Vantage Towers, we're on a mission to power Europe's sustainable digital tran...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • University degree in IT, computer science, engineering, business with IT focus, or equivalent experience
  • 5+ years of experience in data architecture, data engineering, or related roles, incl. 2+ years in cloud environments (ideally GCP)
  • Strong knowledge of data architecture principles (data modeling, integration patterns, pipeline orchestration, storage design)
  • AI enablement (platform-side): hands-on exposure to supporting AI/ML workloads on the data platform (e.g., integrating data/pipelines for Vertex AI / BigQuery ML-style use cases, and setting up the data access + monitoring needed for reliable production use)
  • Interoperability experience: enabling cross-platform access to governed data via standard interfaces/protocols (e.g., MCP / A2A concepts)
  • Proficient programming skills (Python or Java) and advanced SQL
  • Practical experience with BI/reporting platforms, preferably Power BI
  • Experience designing or implementing scalable, cloud-native data solutions
  • Proven experience working across distributed and multinational teams
  • Fluent English (C1)
Job Responsibility
Job Responsibility
  • Design scalable, secure, future-proof data architectures that form the backbone of our VT Data Lake and analytics landscape
  • Define end-to-end solution designs for data ingestion, transformation, storage, and consumption across platforms (incl. GCP)
  • Build and optimize data pipelines and data models (ETL/ELT, orchestration, storage design) to support analytics and reporting at scale
  • Enable selected AI/ML use cases by defining governed data access patterns and curated datasets that provide trusted context
  • Develop self-service BI and reporting that translates complex datasets into actionable insights (e.g., Power BI)
  • Lead technical design reviews, assess architectural trade-offs, and ensure solutions follow best-practice patterns
  • Guide and challenge external vendors to deliver high-quality, maintainable, compliant data and analytics solutions
  • Establish data governance principles, standards, and documentation to ensure architectural consistency and data quality
  • Explore and pilot emerging technologies relevant to modern data architecture (including agentic AI enablement where useful)
What we offer
What we offer
  • Diverse, multicultural setup based on our values – Accountability, Respect, Teamwork, and Trust – and the unique opportunity to shape the organisation
  • Attractive salary package
  • Meal Allowance: Delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance: For employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
  • Parking Slot
  • Fulltime
Read More
Arrow Right

Finance Data, AI & Reporting Expert

As the Lead for Data, AI & Reporting, you'll own the finance data architecture u...
Location
Location
Bulgaria , Sofia; Varna
Salary
Salary:
Not provided
mypos.com Logo
myPOS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in finance, data or analytics roles - ideally spanning finance transformation and ERP implementation
  • Hands-on experience with ERP data architecture - NetSuite preferred
  • SAP or Oracle acceptable
  • Experience building or governing group management reporting suites and consolidation models in multi-entity environments
  • Demonstrable experience with AI/ML applications in finance: automation, anomaly detection, NLP for AP, forecasting
  • Degree in Finance, Data Science, Computer Science, Mathematics or related
  • ACCA, CIMA, CFA an advantage
  • Strong command of data modelling, data warehousing and BI/analytics tooling - Power BI, Tableau, Looker or similar
  • Deep understanding of financial reporting requirements - management accounts, consolidation, IFRS, segment reporting and KPI design
  • Exceptional stakeholder management - able to translate technical data concepts into business-friendly insight for CFO, Steeco sponsors and board
Job Responsibility
Job Responsibility
  • Own and govern the finance data architecture - COA design, financial dimensions, segment structures and data model across NetSuite and integrated systems
  • Define and maintain the data governance framework: ownership, quality standards, lineage and master data management
  • Govern the data migration strategy - extraction, transformation, validation and cut-over for multiple entities
  • Establish and operate the data quality framework, including reconciliation controls between source systems and NetSuite
  • Design, build and own the group management reporting and financial consolidation model in NetSuite, Data Lake and/or BI tooling
  • Design and deliver the Board level KPI framework - metrics, calculation logic, data sources and reporting cadence
  • Build executive analytics dashboards enabling real-time insight across entities, regions and product lines
  • Define reporting hierarchies, management vs statutory alignments and intercompany elimination approaches
  • Lead AI-driven automation initiatives across finance - intelligent document processing, automated reconciliations, anomaly detection and forecasting augmentation
  • Identify, evaluate and implement AI/ML tools relevant to finance operations and reporting
What we offer
What we offer
  • Annual salary reviews, promotions and performance bonuses
  • myPOS Academy for upskilling and training
  • Unlimited access to courses on LinkedIn Learning
  • Annual individual training and development budget
  • Refer a friend bonus
  • Teambuilding, social activities and networks on a multi-national level
  • Excellent compensation package
  • 25 days annual paid leave (+1 day per year up to 30)
  • Full “Luxury” package health insurance including dental care and optical glasses
  • Meal vouchers of 102.26 EUR per month
  • Fulltime
Read More
Arrow Right

AI & Data Science Engineering Expert

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital tran...
Location
Location
Portugal , Lisboa
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • University degree (Bachelor’s or Master’s) in Data Science, Computer Science, Statistics, or a related field
  • Minimum of 3 years of hands-on experience in building and deploying machine learning models
  • At least 2 years working with cloud-based AI services, preferably on Google Cloud Platform (e.g., Vertex AI, BigQuery ML)
  • Strong proficiency in Python and experience with ML/GenAI libraries (scikit-learn, TensorFlow, Hugging Face, OpenAI SDK)
  • Proven experience with LLM-based applications, RAG patterns, and agentic workflows
  • Knowledge of MLOps and GenAIOps workflows, including model versioning and performance tracking
  • Fluency in Business English (C1 level written and spoken)
Job Responsibility
Job Responsibility
  • Develop and operationalize machine learning and generative AI models for high-impact business use cases
  • Design and implement data science models, including feature engineering and rapid prototyping
  • Build and automate AI pipelines, integrating them into business processes and tools
  • Manage the full AI lifecycle, including MLOps, monitoring, retraining, and governance alignment
  • Design and deploy GenAI applications such as content summarization, intelligent document processing, and chatbot assistants
  • Collaborate with data engineers and architects to align AI components with enterprise data architecture
  • Translate complex AI models into actionable business insights through compelling storytelling
What we offer
What we offer
  • Diverse, multicultural setup based on values – Accountability, Respect, Teamwork, and Trust
  • Attractive salary package
  • Meal Allowance delivered on Pluxee card - €10.20/day
  • Pension Plan
  • Full Health Insurance for employees and co-payment for family members
  • Life Insurance
  • 7 extra vacation days: 4 flexible, plus 3 fixed — 1 on Carnival, 1 on Christmas, and half a day on Easter and New Year's
  • Parking Slot
  • Fulltime
Read More
Arrow Right

Data Scientist – AI, LLMs & Data Pipelines

This role is for our US-based Media Analytics client account, a distributed SaaS...
Location
Location
India , Pune
Salary
Salary:
Not provided
srkay.com Logo
SRKay Consulting Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on experience as a data scientist or ML engineer, with demonstrated ownership of projects in production
  • Minimum of 2 years’ experience with LLM’s
  • Proven experience applying LLMs and generative AI to real-world business problems
  • Strong Linux skills – comfortable navigating and scripting in a CLI-first environment
  • Expert Python skills – you write clean, maintainable, tested, and efficient code
  • Deep experience working with OpenAI models and APIs, including prompt engineering, finetuning and evaluation
  • Fluent in SQL with ability to work efficiently with PostgreSQL datasets
  • Experience using Docker for local and production development
  • Proficiency with LangChain for building multi-step LLM workflows
  • Effective remote communication and collaboration, especially in a distributed team with meetings on US Eastern Time
Job Responsibility
Job Responsibility
  • LLM-led Innovation: Build and deploy LLM-powered tools and workflows that simplify analyst work, reduce errors, and accelerate delivery
  • Operational Transformation: Understand operational processes and create intelligent, scalable solutions that eliminate complexity and manual effort
  • Product Evolution: Partner with product and operations teams to infuse intelligence and automation into client-facing platforms
  • Client-Centric Design: Translate client pain points and product gaps into practical, data-driven AI solutions that enhance experience and outcomes
  • Rapid Experimentation: Prototype fast, test early, iterate often. Maintain speed without sacrificing accuracy or quality
  • Cross-Functional Collaboration: Work closely with engineering, product, client success, and operations teams to bring ideas to life
  • Own and operate data pipelines: Run, troubleshoot, and improve the scripts and workflows that move and transform our data—upgrading these to use workflow orchestration tools for robustness and automation
  • Work with LLMs: Fine-tune models, conduct reinforcement learning with human feedback (RLHF), and support preference-review workflows
  • Model evaluation & monitoring: Analyze results and report on the effectiveness of AI models and data labeling efforts using both established and novel benchmarks
  • Thematic extraction at scale: Help identify and surface underlying themes, narratives, and sentiment across vast media datasets
  • Fulltime
Read More
Arrow Right

Data & AI Transformation Lead Senior Vice President

We are seeking an exceptional Senior Vice President to serve as the senior techn...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of progressive experience in technology, with a significant portion in senior technical leadership roles — and a continued, active hands-on involvement in software development
  • Java Expertise: Expert-level background in Java, including designing and building resilient, high-throughput distributed systems and microservices architectures. Must be comfortable writing and reviewing production code
  • Big Data Mastery: Deep, hands-on expertise in modern Big Data platforms using technologies such as Apache Spark, Kafka, Presto/Trino, and distributed data lakes or lakehouses
  • Transformation Track Record: Demonstrated success leading complex, multi-year legacy modernization and re-engineering programs from concept to production in a global enterprise environment
  • Change Leadership: A proven change agent with the ability to shift engineering culture, introduce modern practices, and bring teams along on a transformation journey
  • Leadership: Exceptional organizational leadership skills with experience managing and developing multiple teams of senior engineers, architects, and technical leads
  • Prompt Engineering & AI Tooling: Deep, practical experience with prompt engineering and hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Claude, OpenAI Codex, Devin) to drive engineering productivity and code quality at scale
  • Financial Domain: Experience in financial services, particularly in trading systems, post-trade processing, sub-ledger accounting, or risk platforms
  • Cloud Platforms: Experience with public or private cloud platforms (AWS, GCP, Azure) and their associated data and compute services
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Job Responsibility
Job Responsibility
  • Be an active, hands-on contributor to the codebase — designing, building, and reviewing new Java microservices that replace legacy components
  • Lead the re-engineering of the existing Oasys codebase, breaking down monolithic structures and migrating business logic into a modern, event-driven microservices architecture
  • Establish and enforce application methodologies and standards for program analysis, design, coding, testing, and implementation across the engineering organization
  • Analyze complex business processes, system workflows, and industry standards to define solutions to high-level problems, particularly in the context of post-trade processing and financial accounting
  • Serve as the organization's champion and change agent for AI-assisted software development, driving the adoption of tools such as GitHub Copilot, Claude, OpenAI Codex, and Devin across the engineering team
  • Bring deep, practical expertise in prompt engineering and apply it to accelerate development workflows, improve code generation quality, and automate repetitive engineering tasks
  • Lead by example — demonstrating how AI tooling can be integrated into day-to-day development practices to meaningfully improve productivity and code quality
  • Lead the design and delivery of the new Oasys platform in parallel with the Sybase IQ exit, overseeing the build-out of high-throughput data pipelines, distributed data stores, and scalable data processing frameworks
  • Drive the integration of new systems and functions to meet strategic goals, deploy new capabilities, and continuously enhance processes
  • Utilize advanced knowledge of the Oasys system flows and a comprehensive understanding of multiple technology domains to achieve transformation milestones on time and at scale
  • Fulltime
Read More
Arrow Right

Senior Technical Lead - Data & AI (Oil & Gas)

At Codvo, we are committed to building scalable, future-ready data platforms tha...
Location
Location
India , Pune
Salary
Salary:
Not provided
Codvo AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience: 12+ years in technical roles, with at least 4+ years in a technical leadership or principal engineer capacity, managing cross-functional engineering teams
  • Cloud Expertise: Expert-level, hands-on knowledge of Microsoft Azure as a primary platform
  • Data & AI Expertise: Proven mastery of Databricks and Apache Spark (PySpark)
  • Extensive experience designing and building large-scale ETL/ELT data pipelines
  • Strong understanding of AI/ML workflows and data requirements for industrial AI use cases
  • DevOps & IaC Expertise: Deep proficiency with Infrastructure as Code (Terraform, ARM templates)
  • Hands-on mastery of Kubernetes and containerization (Docker)
  • Proven experience building and managing complex CI/CD pipelines (Azure DevOps, Jenkins)
  • Cloud Security: Strong, practical knowledge of cloud network security (VNETs, NSGs, Firewalls) and identity management (Azure Key Vault, IAM)
  • Industry Knowledge: Experience in the Oil & Gas sector or a similar heavy-industry/critical infrastructure environment
Job Responsibility
Job Responsibility
  • Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement
  • Detailed Solution Design: Partner with the Solutions Architect and Project Manager to decompose high-level architecture into detailed technical designs, actionable tasks, and implementation plans for the engineering team
  • Hands-on Development: Act as the lead engineer, personally designing and building the most complex components of the solution, including data pipelines, IaC modules, and CI/CD frameworks
  • Cross-Functional Integration: Drive the seamless integration of diverse systems, including OT data from historians (OSIsoft PI), data platforms (Databricks), cloud infrastructure (Azure), and CI/CD pipelines (Azure DevOps)
  • Technical Governance & Quality: Enforce technical best practices across all domains. Conduct rigorous code reviews, design reviews, and security assessments. Ensure all solutions adhere to security-by-design principles, CI/CD automation standards, and data governance policies
  • Stakeholder Collaboration: Translate complex technical concepts and risks to the Project Manager and business stakeholders. Manage technical dependencies and help the PM with accurate effort estimation and milestone tracking
  • Problem Solving: Serve as the primary escalation point for the team's most complex technical challenges, leading root cause analysis and implementing robust, long-term solutions
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer, Google Cloud, AI Expert

We are seeking a Forward Deployed Engineer (FDE) with deep expertise in Google C...
Location
Location
Canada , Montreal
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience
  • 5+ years of software development experience using Python, TypeScript, or comparable languages, with a track record of shipping production-grade code to external or internal customers
  • Hands-on experience architecting and deploying AI systems on Google Cloud Platform (GCP), including: Vertex AI — model deployment, fine-tuning workflows, evaluation, and platform-level observability
  • Gemini models — prompt engineering, structured outputs, function/tool calling, and multimodal use cases
  • BigQuery and Cloud Storage — as data and grounding sources for AI workloads
  • Cloud Run, Cloud Functions, and Pub/Sub — for deploying and orchestrating agentic services
  • Gemini Enterprise Agent Platform — designing, configuring, and deploying enterprise-grade agents, grounding on customer data sources, integrating tools and connectors
  • Demonstrated experience building agentic and AI-driven solutions in production, including: LLM application development — prompt engineering, agent development, and evaluation frameworks
  • RAG architectures — vector databases, chunking strategy, and retrieval evaluation
  • Data pipelines — structured and unstructured data ingestion to power enterprise-grade AI solutions
Job Responsibility
Job Responsibility
  • Embed within customer engineering teams and lead technical discovery sessions with business stakeholders, engineering leadership, and security to translate ambiguous business problems into clear AI architectures and delivery plans
  • Architect, code, and ship production-grade agentic AI solutions on Google Cloud — including multi-agent systems, MCP servers, sub-agents, skills, connectors, agentic wrappers, and safety guardrails — that move customers beyond pilots into measurable business value
  • Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures, including chunking strategy, vector databases, and embedding optimization to prevent hallucinations and ensure response quality
  • Build the “connective tissue” between Google’s AI products and customer infrastructure, including APIs, legacy data silos, identity, and security perimeters
  • Implement multi-agent patterns such as ReAct, self-reflection, and hierarchical delegation using frameworks like Google’s Agent Development Kit (ADK) or LangGraph
  • Build high-performance evaluation pipelines and observability frameworks for agentic systems, with attention to accuracy, safety, latency, cost-per-request, and tokens-per-second
  • Debug agent logic and optimize tool selection in live, high-traffic environments, including tracing conversation and request IDs across microservices to resolve production failures
  • Co-build with customer engineering teams and act as a hands-on advocate for AI-assisted development, introducing and operationalizing AI coding tools to accelerate delivery and elevate engineering practices
  • Drive a deliberate handoff to the customer’s team, ensuring long-term ownership, documentation, and end-user adoption after the engagement concludes
  • Develop and maintain technical documentation, architecture decision records, and evaluation results across all assigned engagements
What we offer
What we offer
  • Comprehensive insurance plan (Gold, Silver, or Bronze) with employer contribution up to 80%
  • Dialogue via Sun Life virtual healthcare services
  • Employee and Family Assistance Program
  • Complete mental health support program
  • $500 Personal Spending Account
  • Retirement plan with Valtech matching 100% of RRSP contributions up to 4% via DPSP
  • Flexible vacation policy
  • Personal Technology Reimbursement $30/month
  • Winter holiday closure
  • Flexible scheduling
  • Fulltime
Read More
Arrow Right