Data Quality Engineer jobs at Ey in Cyprus, Nicosia

Key Responsibilities

• Contribute to the design and implementation of state-of-the-art AI solutions.

• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.

• Collaborate with stakeholders to identify business opportunities and define AI project goals.

• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.

• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.

• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.

• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.

• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.

• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.

• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

• Ensure compliance with data privacy, security, and ethical considerations in AI applications.

• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Skills and Attributes for Success

• Bachelor’s and/or Master's degree in computer science, engineering, mathematics, or any other relevant subject from a reputable University.

• Minimum 3 years of experience in Data Science and Machine Learning.

• In-depth knowledge of machine learning, deep learning, and generative AI techniques.

• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.

• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

• Familiarity with computer vision techniques for image recognition, object detection, or image generation.

• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.

• Expertise in data engineering, including data curation, cleaning, and preprocessing.

• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.

• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.

• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.

• Understanding of data privacy, security, and ethical considerations in AI applications.

• Track record of driving innovation and staying updated with the latest AI research and advancements.

• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.

It will be a plus if you have

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.

• Implement CI/CD pipelines for streamlined model deployment and scaling processes.

• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

• Implement monitoring and logging tools to ensure AI model performance and reliability.

• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.

• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

• You have experience with lean/agile software development.

EY offers an attractive remuneration package for rewarding both personal and team performance. We are committed to be an inclusive employer and are happy to consider flexible working arrangements. In addition, but not limited to our benefits include:

• 13th salary and yearly bonus

• Provident Fund

• Private Medical and Life Insurance

• Flexible working arrangements (hybrid work and flexible work schedule)

• Friday afternoon off

• EY Tech MBA and EY MSc in Business Analytics

• EY Badges - digital learning certificates

• Mobility programs (if interested to work abroad)

• Paid Sick Leave

• Paid Paternity Leave

• Yearly wellbeing days off

• Maternity, Wedding and New Baby Gifts

• EY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

Apply Now.

Preventing detecting and responding to risks like commercial and cybercrime, litigation and improving integrity within organizations is all about using technology smarter, whether through digital forensics or the latest eDiscovery methodologies. Our clients look to us to make it happen, and as a Forensic Technology specialist you’ll be right at the heart of that goal. It’s a role with far-reaching implications, so you’ll be working with stakeholders across industries with some of the most leading technology, deep subject-matter knowledge, and broad global sector experience.

As part of the team, you will allow our clients and their legal counsel to make informed, strategic decisions, by providing them with Digital Forensic, eDiscovery- and (Cyber) Incident & Privacy Response related services.

You will have a (technical) contribution to F&IS client engagements and internal projects. An important part of your role will be actively participating as a team member by sharing responsibility, providing support, maintaining communication, and updating senior team members on progress while deepening your subject matter knowledge and developing valuable insights. You will assist in performing (forensic) analysis and preparing reports and schedules that will be delivered to clients and other parties.

As an EY employee, you will build strong internal relationships within consulting and across other services. As part of our global network of over 4.000 forensic and technology professionals working in multi-disciplinary teams, you will gain valuable experience across industries and geographies.

Job requirements– Where do you start if you want to change the world?

• A bachelor’s or master’s degree in the area of (Forensic) information technology (IT), Cybersecurity, Business IT, Computer Science or any another relevant study in this field.
• 1-4 years of experience in an (forensic) IT environment, preferably including programming and relational database design and management.
• Experience with computer forensics applications such as EnCase, FTK, Magnet Axiom or HELIX.
• Experience with document review platforms including Relativity, NUIX, Reveal.
• Strong analytical and problem-solving skills, an inquisitive mindset, high level of attention for detail and an affinity with (forensic) IT.
• Excellent communication skills and excellent command of the English language, both written and spoken.
• The drive to continuously improve your own work and that of our clients,we are looking for people who are innovative, agile, and flexible in a rapidly changing world.
• An inclusive mindset. We are looking for people who seek and embrace different perspectives, value differences, and work together inclusively to build safety and trust.

What we offer

We offer you an attractive employment package that rewards individual and team achievements:

• • Vitality: the choice is yours. An online session with an external vitality coach, practical tips on topics such as nutrition, energy, sleep and mindset, a discount at Healthcity and/or a voucher card to rent a padel court.
  • Flexible working: you decide where and when you work in consultation with your team. At home, at the office, at the client or from another European country (up to 20 working days per year).
  • Home office arrangement: to optimize your home office, EY provides the following resources for you: office chair, sit/stand desk, an external monitor, a desk lamp, a (Bluetooth) headset, and a large external keyboard.
  • Birth leave: EY will pay 100% of the birth leave, in the case of an additional birth leave, EY will pay 70% of the salary.

For a full overview of our employment package click here:

Recruitment procedure

the selection procedure exists out of 2 interview rounds and an assessment

Due to laws and regulations, and because EY (and in some cases its clients) has high demands on the reliability and integrity of its employees, every new employee will be screened. Depending on your rank the pre-employment screening could contain the following: Certificate of Conduct (in Dutch: VOG) or - if requesting a Dutch VOG is not possible - Criminal Background Check of the country you are currently living or have lived during the last five years, integrity questionnaire, verification of ID, diploma’s and/or work experience and consultation of the Dutch insolvency registry.

Technical Consultant - Python or Java and AI experience

We are looking for a top-notch technology savvy specialists willing to move our projects on the new track! You will use the most advanced technology stack and have an opportunity to implement new solutions while working with top leaders in their industries. You will be part of our global team and you will participate in international projects.

Your key responsibilities

• Implement integrated solutions for global insurance and reinsurance clients.
• Collaborate with clients, internal teams, and development partners to design and deploy a new risk management platform.
• Create custom applications to address unique client business challenges.
• Develop and maintain a knowledge base of reusable solution artifacts and design patterns.
• Ensure timely delivery of solutions to development partner clients and internal development teams.

Skills and attributes for success

• Full stack application development experience
• Proficiency in Python
• Proficiency in Java
• AI experience
• Understanding of test-driven development and testing processes
• Knowledge of microservices and REST APIs
• UI development experience with React and Typescript/JavaScript
• Ability to explain technical concepts to both technical and non-technical audiences
• Experience in developing applications to support Underwriting & or Cat Modelling workflow for large insurance or reinsurance entities.

To qualify for the role, you must have

• Experience with deploying applications using cloud components in AWS
• Experience with SQL Server; NoSQL or cloud database experience is a plus
• Previous client-facing and professional services experience

Ideally, you’ll also have

• Business process and workflow design/re-engineering
• Good presentation skills
• The role may occasionally require some travel

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

In compliance with the requirements of the Whistleblower Protection Act, our company has established the Procedure for reporting breaches of law and undertaking appropriate follow-up actions. Any misconduct should be reported through the EY Ethics Hotline.