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Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.&nbsp;ROLE RESPONSIBILITIES<ul><li>Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.&nbsp;</li><li>Provides guidance and may lead/co-lead moderately complex projects.&nbsp;</li><li>Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.&nbsp;</li><li>Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.&nbsp;</li><li>Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise.&nbsp;</li><li>Collaborate effectively with contractors to deliver technical enhancements.&nbsp;</li><li>Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.&nbsp;</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.&nbsp;</li><li>Conduct root cause analysis and address production data issues.&nbsp;</li><li>Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.&nbsp;</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.&nbsp;</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.&nbsp;</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.&nbsp;</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.&nbsp;</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.&nbsp;</li></ul>​BASIC QUALIFICATIONS <ul><li>A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.&nbsp;</li><li>5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.&nbsp;</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.&nbsp;</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.&nbsp;</li><li>Strong understanding of data structures, algorithms, and software design principles&nbsp;&nbsp;</li><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala&nbsp;</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices&nbsp;</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.&nbsp;</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.&nbsp;</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.&nbsp;</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).&nbsp;</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.&nbsp;</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.&nbsp;</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.&nbsp;</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.&nbsp;</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.&nbsp;</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.&nbsp;</li></ul>​Please apply by sending your CV and a motivational letter in English.&nbsp;&nbsp;Work Location Assignment:&nbsp;Hybrid

Manager, Data Engineer – AI and Automation

Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.&nbsp;ROLE RESPONSIBILITIES<ul><li>Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.&nbsp;</li><li>Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.&nbsp;</li><li>Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.&nbsp;&nbsp;</li><li>Ability to collaborate with contractors to deliver technical enhancements.&nbsp;</li><li>Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.&nbsp;</li><li>Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.&nbsp;</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.&nbsp;</li><li>Conduct root cause analysis and address production data issues.&nbsp;</li><li>Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.&nbsp;</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.&nbsp;</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.&nbsp;</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.&nbsp;</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.&nbsp;</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.&nbsp;</li><li>3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.&nbsp;</li><li>Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.&nbsp;</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.&nbsp;</li><li>Strong understanding of data structures, algorithms, and software design principles&nbsp;</li><li>Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.&nbsp;</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.&nbsp;</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.&nbsp;</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.&nbsp;</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).&nbsp;</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.&nbsp;</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices&nbsp;</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.&nbsp;</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.&nbsp;</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.&nbsp;</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.&nbsp;</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.&nbsp;</li></ul>&nbsp;&nbsp;Please apply by sending your CV and a motivational letter in English. Work Location Assignment:&nbsp;Hybrid

Senior Associate, Data Engineer – AI and Automation

Pfizer’s purpose, breakthroughs that change patients’ lives, is rooted in being a science driven and a patient focused company. Digital, AI, data, and analytics are central to driving innovation at Pfizer.The Senior Manager, Product Management &amp; Delivery will be on a team responsible for maintaining the overall vision for the different data products supporting our Enabling Functions businesses.This Senior Manager, Product Management &amp; Delivery position will work closely with our business leads and client partners to determine opportunities and set roadmaps that drive measurable innovation and impact.This position will work closely with Artificial Intelligence Data &amp; Analytics (AIDA) EF Product &amp; Delivery Lead on developing standard portfolio processes, align roadmap priorities with Solution Delivery managers and guide Product Analysts.&nbsp;&nbsp;ROLE RESPONSIBILITIES Stakeholder Engagement:<ul><li>Collaborate with prospective users and clients to understand and anticipate their needs and translate them into product requirements.</li><li>Regularly communicate with stakeholders to gather feedback and ensure their needs are being met.</li><li>Effectively communicate to AIDA EF leadership when required to manage stakeholder expectations.</li><li>Monitoring and evaluating product progress at each stage of the process, updating Objectives &amp; Key Results (OKRs) in the Agile Measurement Framework.</li><li>Serve as a single point of contact and accountability to the different business you serve.</li><li>Shapes thinking on how technology solutions support the goals of the business.</li><li>When required Identify, manage, and bring to resolution all project risks/ issues.</li><li>Escalate major project risks to scope, budget, or timeline to appropriate escalation points in a timely manner.</li></ul>Vision and Strategy:<ul><li>Develop and communicate the product vision and strategy to stakeholders and the team. Ensure alignment with business goals and customer needs.</li><li>Creating and maintain a product road map based on this vision.</li></ul>Product Development &amp; Continuous Improvement:<ul><li>Drive the execution of all processes in the product lifecycle, including product discovery, planning, requirements and roadmap development, and product launch.</li><li>Create product strategy documents that describe business cases, high-level use cases, technical requirements, value propositions.</li><li>Identify areas for improvement and implement changes to enhance the product and the development process.</li><li>Establish best practices and ways of working that measure team efficiency and manages capacity.</li><li>Actively monitor &amp; evaluate emerging technologies with an eye on how it could be leveraged to improve your digital products and provide additional benefit to the customer.</li></ul>Interpersonal and Administration:<ul><li>Strong interpersonal, communication, influencing, analytical and problem-solving skills.</li><li>Ability to compose and present material to communicate difficult or complex concepts and gain consensus.</li><li>Partner with the other Digital organizations to align on broader strategies and best practices and ensure consistent use.</li><li>Manage product budget and expenses ensuring that product is financially viable deploying resources in an appropriate manner to meets customer needs.</li><li>Build, grow and support Solution Delivery managers and Product Analysts through coaching, mentoring and giving feedback.</li></ul>Basic Qualifications:<ul><li>BSc degree is required.</li><li>6+ years of experience.</li><li>Proven success as a Data Product Manager / Owner.</li><li>5+ years of management experience leading project teams and technology delivery functions.</li><li>Experience in product operating model with strong understanding of Agile methodologies, excellent communication and leadership skills, ability to manage multiple priorities, and strong problem-solving skills.</li><li>Demonstrated experience at owning and managing a significant organizational or project budget.</li><li>Demonstrated effective collaboration with teams across an organization to drive processes and operations.</li><li>Demonstrated ability to quickly gain credibility with senior management and effectively influence and collaborate with others.</li></ul>Nice to have:<ul><li>An advanced degree.</li><li>Knowledge of pharmaceutical industry.</li><li>Working knowledge of finance, quality assurance, legal and compliance business functions.</li><li>Demonstrated experience in scoping, defining and managing projects including determining project viability, developing rigorous project estimates, developing and establishing a project plan, budget defining technology solutions, developing RFPs, evaluating vendor responses, negotiating SOWs and identifying resource requirements.</li><li>Knowledge of visualization tools such as report builders, ad-hoc queries, OLAP, dashboards (Tableau, Spotfire, Power BI etc.).</li><li>Physical data architecture options such as enterprise data warehouse, data federation, hub &amp; spoke architectures, independent data marts.</li><li>Data integration tools and techniques such as ETL (Extract Transform Load), CDC (Change Data Capture).</li><li>Relevant related areas such as data quality, master data management, metadata management, collaboration and business process management.</li></ul>Please apply by sending your CV and a motivational letter in English.Work Location Assignment:&nbsp;Hybrid

Senior Manager, Product Management & Delivery

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through data engineering, data science, analytics and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of data engineering, data science, analytics and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patients’ lives. &nbsp;The Commercial Domain Delivery team support the Pfizer Commercial Organization as the AIDA experts in data &amp; AI strategy, product design, development, &amp; delivery.As a Senior Manager, Commercial Data Products, your role is to act as a trusted advisor for the US &amp; International commercial stakeholders and identify scalable Commercial data products to solve key business questions.You will be responsible for managing the development and deployment of Commercial data products at scale and be the digital owner of the end-to-end product roadmap.You are expected to work closely with the Digital creation centers, AIDA Commercial COEs, Data Science Industrialization &amp; Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization.As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products.ROLE RESPONSIBILITIES <ul><li>Product manager for assigned Commercial data products</li><li>Process owners for scaling, enhancement and industrialization of Commercial data products</li><li>Lead product roadmap creation, development &amp; deployment for key strategic Commercial data products</li><li>Provide digital interface and support for enterprise transformation initiatives supported by Commercial data products</li><li>Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers &amp; CoEs</li><li>Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects</li><li>2+ years’ experience in application of Data/AI/ML in pharma/healthcare commercial organizations</li><li>Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority</li><li>Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches</li><li>Strong English communication skills (written &amp; verbal)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline</li><li>Hand-on experience in at least one data/analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku)</li><li>Hand-on experience in developing data or AI/ML products for pharma commercial applications</li><li>Product management background in healthcare analytics/technology</li><li>Understanding of pharma commercial data landscape</li></ul>Please apply by sending your CV and a motivational letter in English.&nbsp;&nbsp;Work Location Assignment:&nbsp;Hybrid

Senior Manager, Commercial Data Products

The Scientific Computing Cloud Engineer will be responsible for developing and deploying supercomputing solutions in AWS supporting R&amp;D, Clinical, and Manufacturing teams globally. The successful candidate will be the primary High-Performance Computing (HPC) Cloud engineer. This role requires a deep understanding of both on-premises and cloud-based HPC systems, as well as strong project management skills. The ideal candidate will have a background in life sciences and computer science, with a focus on supporting computational biology applications and AWS engineering.Key Responsibilities<ul><li>Develop and deploy automated HPC workloads and workflows using AWS cloud services, including Parallel Cluster, FSx for Lustre, Batch, Terraform,&nbsp;&nbsp;and Cloud Formation.</li><li>Manage high-performance parallel file systems such as Weka, understanding data and storage workflows, movement, tiering, and tracking.</li><li>Act as the HPC data steward, ensuring data integrity and efficient data management practices.</li><li>Design, implement, and manage cost effective on-premises and HPC Cloud systems, including job schedulers (e.g., Slurm) and cluster management tools (e.g., Linux scripting,&nbsp;Ansible).</li><li>Architect and design HPC hardware and networking solutions, providing system troubleshooting and support for on-premises systems.</li><li>Develop and maintain web portals and sites to facilitate HPC resource access and management.</li><li>Lead and manage projects, ensuring timely and successful delivery of HPC solutions.</li><li>Collaborate with cross-functional teams to align HPC strategies with organizational goals.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li><li>Document, train, and educate users on best practices. Level 3 engineering support for most challenging technical issues.</li><li>In this role, you will also be responsible for promoting a culture of excellence within the HPC team, fostering collaboration, innovation, and continuous improvement.</li></ul>QualificationsBasic Qualifications:<ul><li>Bachelor's degree (BA/BS) in Computer Science, Engineering, Life Sciences, or a related field.</li><li>7+ years of professional experience, with a significant portion of that time spent in HPC, cloud engineering, or a related discipline.</li><li>Proven ability to understand and manage data and storage workflows, movement, tiering, and tracking.</li><li>Experience with on-premises and Cloud HPC systems, including job schedulers (e.g., Slurm) and HPC tools (e.g., Linux administration, Ansible,&nbsp;AWS Batch).</li><li>Strong understanding of cluster architecture, design, HPC hardware, and networking.</li><li>Excellent system troubleshooting and support skills for HPC Cloud systems.</li><li>Experience in supporting, deploying, and managing scientific applications (Linux/Windows)</li><li>Strong project management skills, with the ability to lead and manage complex technical projects.</li><li>Advanced certifications in AWS cloud services or HPC technologies.</li></ul>Preferred Qualifications:<ul><li>Advanced degree in Computational Biology, Computer Science, or a related field.</li><li>Extensive experience with AWS cloud services, particularly HPC services such as ParallelCluster,&nbsp;FSx&nbsp;for Lustre, Batch, AWS PCS, Terraform, and CloudFormation.</li><li>Experience with high-performance parallel file systems like Weka, storage gateway, data sync.</li><li>Experience in the life sciences field, particularly in computational biology.</li><li>Familiarity with a variety of programming languages and tools used in high-performance computing, such as Python,&nbsp;Java, C++, MPI, R, R Studio, Jupyter Hub, Docker/Singularity and Spack.</li><li>Excellent communication skills, with the ability to effectively convey technical information to a variety of audiences.</li></ul>&nbsp;Work Location Assignment:&nbsp;HybridPurpose&nbsp;Breakthroughs that change patients' lives... At Pfizer we are a&nbsp;patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.&nbsp;&nbsp;Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.Flexibility&nbsp;&nbsp;We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.&nbsp;Let’s start the conversation!&nbsp;&nbsp;Equal Employment Opportunity&nbsp;We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.Disability InclusionOur mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!Information &amp; Business Tech#LI-PFE

Sr. Manager, Scientific Computing Cloud Engineer

<ul><li>What we basically need from you:Proven experience at similar position.</li><li>Well command of the English language.</li><li>P/C skills.</li><li>Administration for online systems, Internet channels, software &amp; hardware solutions.</li><li>Team player &amp; Team member.</li><li>Well knowledge of modern technologies.</li><li>What we offer to you:Modern &amp; professional working environment.</li><li>Earnings package after agreement.</li><li>Benefits &amp; Bonus.</li><li>Accommodation &amp; meals.</li><li>Window of moving up opportunity.</li></ul>

IT SUPPORT

Are you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative&nbsp;(Senior) Data Engineer&nbsp;to join our dynamic team and help us implement a cutting-edge Data Mesh architecture.At FREENOW we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers.Are you ready for your next ride?&lt;h2&gt;&lt;strong&gt;YOUR DAILY ADVENTURES WILL INCLUDE:&lt;/strong&gt;&lt;/h2&gt; YOUR DAILY ADVENTURES WILL INCLUDE:<ul><li>Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment.</li><li>Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture.</li><li>Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards.</li><li>Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability.</li><li>Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes.</li><li>Build high-performance APIs to access and query data from data warehouse.</li><li>Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.</li><li>Coordinate and oversee the successful delivery of complex data engineering projects, ensuring alignment with timelines, objectives and stakeholders.&nbsp;</li></ul>

(Senior) Data Engineer

Duration of Program:&nbsp;2 years, aiming at a permanent renewal upon completion Location:&nbsp;Athens (Hybrid)Areas you could be working in include:•&nbsp;&nbsp;&nbsp;Product Management•&nbsp;&nbsp;&nbsp;Digital Marketing•&nbsp;&nbsp;&nbsp;Brand Communication and Content Editing•&nbsp;&nbsp;&nbsp;Customer Experience and Operations•&nbsp;&nbsp;&nbsp;UI/UX DesignWhat we’re looking for:•&nbsp;&nbsp;&nbsp;Recently graduated - BSc or MSc degree preferably in Business studies, Marketing or UI/UX Design•&nbsp;&nbsp;&nbsp;Strong academic performance&nbsp;•&nbsp;&nbsp;&nbsp;0-2 years of experience&nbsp;•&nbsp;&nbsp;&nbsp;English &amp; Greek proficient&nbsp;•&nbsp;&nbsp;&nbsp;Curiosity and learning agility&nbsp;•&nbsp;&nbsp;&nbsp;Passion for technology and digital experiencesWhat’s in it for you:•&nbsp;&nbsp;&nbsp;Hybrid Way of Working: a blend of remote and office-based working, including the option to work up to 20 days from abroad•&nbsp;&nbsp;&nbsp;Investment in your personal development•&nbsp;&nbsp;&nbsp;Having business exposure and accountability from day one•&nbsp;&nbsp;&nbsp;Being part of a global community of graduates•&nbsp;&nbsp;&nbsp;Competitive pay &amp; benefits•&nbsp;&nbsp;&nbsp;Working with a global community to deliver world-leading technology to empower customers around the world connect and build our digital futureWhat to expect:•&nbsp;&nbsp;&nbsp;Gain critical experiences, stretch your skills and thrive&nbsp;•&nbsp;&nbsp;&nbsp;Opportunities to rotate in different roles based on your career path•&nbsp;&nbsp;&nbsp;Personalised learning journey and skills development to ensure you’ll always be future-ready&nbsp;•&nbsp;&nbsp;&nbsp;Continuous feedback and support on how to meet your career goals•&nbsp;&nbsp;&nbsp;A diverse and inclusive working environment where you can be yourself, share inspiration and belong•&nbsp;&nbsp;&nbsp;An agile environment where you can work with flexibility and the freedom to experiment and innovate•&nbsp;&nbsp;&nbsp;A rewarding workplace with practices, initiatives and policies to support your health, safety and wellbeing.&nbsp;If you think this sounds like you, we would love to hear from you.

2025 Discover Graduate Program Greece | Commercial

Digital Experience Specialist is a marketing technologist who designs and delivers personalization techniques that support efficient digital marketing activities. By understanding business needs and priorities, Digital Experience Specialist translates requirements into personalisation strategies, makes data-driven decisions of how to setup a variety of digital marketing tools to effectively target customer audiences in owned channels and paid media.&nbsp;Key Accountabilities:•&nbsp;&nbsp;&nbsp;Design and maintain high performing customer audiences by exploiting data management tools and capturing data signals from various sources•&nbsp;&nbsp;&nbsp;Proactively identify strategic challenges and opportunities, and provide actionable insights to internal stakeholders by analysing customer behaviour•&nbsp;&nbsp;&nbsp;Design and deliver personalized targeting techniques to meet campaign goals&nbsp;•&nbsp;&nbsp;&nbsp;Funnel creation to monitor and analyse campaign performance and results to internal stakeholders•&nbsp;&nbsp;&nbsp;Support digital campaign experience for selected audiences by digesting contextual information and marketing automations•&nbsp;&nbsp;&nbsp;Execute conversion rate optimisation activities, such as A/B or MVT testing•&nbsp;&nbsp;&nbsp;Execute user experience and customer feedback analysis through heat map, analytics and surveys tools to provide insights on user journey optimizations•&nbsp;&nbsp;&nbsp;Execute keyword research &amp; on-page optimizations to achieve top notch search engine optimizations (SEO)•&nbsp;&nbsp;&nbsp;Design and execute integration strategies for marketing tools via effective tag management&nbsp;Who you are•&nbsp;&nbsp;&nbsp;MSc or BSc in Computer Science, Mathematics, Statistics or Business Studies combining technical savviness•&nbsp;&nbsp;&nbsp;2-5 years’ experience in Data Analytics, Web Analytics, Personalisation or similar role•&nbsp;&nbsp;&nbsp;Ability to manage large volumes of numerical data and generate actionable insights•&nbsp;&nbsp;&nbsp;Proven expertise in Google Analytics or Adobe Analytics•&nbsp;&nbsp;&nbsp;Hands on experience with Personalisation or A/B testing tools, such as Adobe Target, Optimizely, Optimize•&nbsp;&nbsp;&nbsp;Familiarity with SEO tools like Moz, SEMRush•&nbsp;&nbsp;&nbsp;Knowledge of audience building tools (CDP) is a plus•&nbsp;&nbsp;&nbsp;Understanding of tag management systems (e.g., Google Tag Manager or Tealium).•&nbsp;&nbsp;&nbsp;Familiarity with HTML / CSS / Cookies / JavaScript / jQuery•&nbsp;&nbsp;&nbsp;Experience collaborating with internal and external business partners, driving and completing concurrent projects on time•&nbsp;&nbsp;&nbsp;Experience and knowledge of the Telco industry strongly preferred

Digital Experience Specialist

Join our Discover Graduate Program and shape your career in a global technology and communications company committed to creating a better future for everyone.When &amp; Where:Duration of Program:&nbsp;2 years, aiming at a permanent renewal upon completion Location:&nbsp;Athens, Heraklion (Crete), ThessalonikiAreas you could be working in include:•&nbsp;&nbsp;&nbsp;Business Intelligence &amp; Data Engineering&nbsp;•&nbsp;&nbsp;&nbsp;Data Science&nbsp;•&nbsp;&nbsp;&nbsp;Big Data&nbsp;•&nbsp;&nbsp;&nbsp;Digital Analytics•&nbsp;&nbsp;&nbsp;Customer AnalyticsWhat we’re looking for:•&nbsp;&nbsp;&nbsp;Recently graduated – BSc or MSc degree preferably in Data Science, Data Engineering, Business Analytics, Mathematics &amp; Statistics&nbsp;•&nbsp;&nbsp;&nbsp;Strong academic performance&nbsp;•&nbsp;&nbsp;&nbsp;0-2 years of experience&nbsp;•&nbsp;&nbsp;&nbsp;English &amp; Greek proficient&nbsp;•&nbsp;&nbsp;&nbsp;Curiosity and learning agility&nbsp;•&nbsp;&nbsp;&nbsp;Passion for technology and digital experiencesWhat’s in it for you:•&nbsp;&nbsp;&nbsp;Hybrid Way of Working: a blend of remote and office-based working, including the option to work up to 20 days from abroad•&nbsp;&nbsp;&nbsp;Investment in your personal development•&nbsp;&nbsp;&nbsp;Having business exposure and accountability from day one•&nbsp;&nbsp;&nbsp;Being part of a global community of graduates•&nbsp;&nbsp;&nbsp;Competitive pay &amp; benefits•&nbsp;&nbsp;&nbsp;Working with a global community to deliver world-leading technology to empower customers around the world connect and build our digital futureWhat to expect:•&nbsp;&nbsp;&nbsp;Gain critical experiences, stretch your skills and thrive&nbsp;•&nbsp;&nbsp;&nbsp;Opportunities to rotate in different roles based on your career path•&nbsp;&nbsp;&nbsp;Personalised learning journey and skills development to ensure you’ll always be future-ready&nbsp;•&nbsp;&nbsp;&nbsp;Continuous feedback and support on how to meet your career goals•&nbsp;&nbsp;&nbsp;A diverse and inclusive working environment where you can be yourself, share inspiration and belong•&nbsp;&nbsp;&nbsp;An agile environment where you can work with flexibility and the freedom to experiment and innovate•&nbsp;&nbsp;&nbsp;A rewarding workplace with practices, initiatives and policies to support your health, safety and wellbeing.&nbsp;If you think this sounds like you, we would love to hear from you.

2025 Discover Graduate Program Greece | Data & Analytics @ Thessaloniki

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Job Ads Ελλάδα - Page 81

manager, data engineer – ai and automation

Pfizer Hellas

senior associate, data engineer – ai and automation

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senior manager, product management & delivery

Pfizer Hellas

senior manager, commercial data products

Pfizer Hellas

sr. manager, scientific computing cloud engineer

Pfizer Hellas

it support

ELIVI Skiathos

(senior) data engineer

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2025 discover graduate program greece | commercial

Vodafone

digital experience specialist

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2025 discover graduate program greece | data & analytics @ thessaloniki

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