

Key Responsibilities
You will lead/support our customers on a project basis in topics such as data strategy, data architecture, data analysis, data visualization, process automation, data governance, data science and AI.
You will analyse, capture, and document requirements for data, AI, and automation use cases in close coordination with stakeholders. Ensure clear and precise definition of requirements to meet customer needs.
You will be responsible of designing, building, and maintaining data and AI pipelines in production.
You will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
You will evaluate and implement solutions for data infrastructure, including data stores, data warehouses and database systems.
You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging problems for our clients.
You will think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.
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.
Up-to 6 years of full-time working experience in Data and/or AI and/or Machine Learning or a similar role.
Strong skills in Python and/or R, and SQL.
Experience working with popular ML packages such as scikit-learn, Pytorch, TensorFlow, or related ML libraries.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience designing, building, and maintaining ML models, frameworks, and pipelines in a production environment – on-prem or cloud.
Good understanding of the different data architecture patterns (e.g., Data Lake, Data Mesh, Data Warehouse, Data Lakehouse)
Solid understanding of data modelling, ETL processes, and data integration techniques, including experience of implementing the above concepts.
Experience with data visualization and BI tools such as PowerBI and/or Tableau.
Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Clearly communicating findings, recommendations, and opportunities to improve data/AI systems and solutions.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
It will be a plus if you have
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different Data & AI approaches.
Experience working with diverse teams to deliver complex solutions.
Familiarity with Generative AI models and frameworks e.g. OpenAI family, open source LLMs, etc.
Experience fine-tuning Generative 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.
משרות נוספות שיכולות לעניין אותך

You will be involved in projects and initiatives related to the full spectrum of people management, including organizational design, performance management, talent management, culture and change, people analytics, people development and rewards.
Your Key Responsibilities:
Required qualifications, skill and attributes:
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
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 Parthenon offers a wide variety of services. The key competencies include, among others, the below:
Key responsibilities of the role:
To qualify for the role you must have the following:
Ideally, you will also have:
What we offer you
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)

Direct Tax Consultant
In return, you can expect leading-class learning and development tailored to your unique interests and motivations. You will be given all the skills, knowledge and opportunities to progress and become ready to build a better working world for our people, our clients and the communities that support us.
Your key responsibilities
Skills and attributes for success
To qualify for the role you must have

Your Key Responsibilities:
To qualify for the role, you should have:
Ideally, you’ll also have:
What we offer you
In addition to a competitive salary, our benefits include but are not limited to:
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)

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.

Your key responsibilities:
Devise innovative cover art, charts, graphs, and packaging methods which supports a pursuit’s theme and relates to the potential client’s business issues, culture, industry and market position.
Create layouts within the EY Visual Identity to establishing strong typography and appropriate use of color, images and fonts, allowing for readability of type and logic of graphic illustrations.
Attend and actively contribute to kick-off meetings, debriefs, and oral preparation meetings concerning the pursuit.
Present design options and approaches to developing anticipated materials, that are cohesive, integrated and support the overall pursuit theme.
Partner with pursuit teams to provide a full-service BD coverage model for strategic, high-end pursuits
Drive design creativity and coach Partner and Pursuit teams to drive pursuit design innovation
Serve as a key participant in pursuit strategy sessions where applicable
Be an expert of strategic messaging and leads conceptualization of all client-facing materials
Contribute to and helping drive the development of account, and opportunity “value-propositions”
Maintain relationships with key interdependency groups: Knowledge, Sectors, Service Lines and BMC
Participate in internal and external networks
Deliver better understanding of outcomes by cascading Win/loss review insights to account teams (including utilizing the ASQ/ESQ /client experience process in win/loss debriefs
Deliver improvement of Pursuits process with emphasis on design factors, through extensive use of client (internal and external) feedback
Ensure the effective use of approved design strategy, approaches and methods in all accounts and engagements; this will coaching Partners and teams is the correct usage
Experience in supervising and leading teams as well as experience in conducting training sessions and updating pipeline reports
Skills and attributes for succes:
Strong experience in graphic design with exposure to brand marketing.
Knowledge of EY’s products and services is helpful and will be essential upon assumption of the role.
Ability to be agile in a high-paced environment and produce quality work in high-pressure situations.
Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
Keep abreast of industry knowledge and trends to assess, identify and implement new technology and/or design innovation such as interactive presentations and digital content delivery. Maintain superior knowledge with graphics software tools, proficiency in firm’s standard operating software (MS Office: Outlook, Word, PowerPoint, SharePoint and Excel) and design software such as: Photoshop, InDesign, Illustrator, After Effects and Acrobat Pro.
Maintain capabilities for troubleshooting technical issues in graphic files for pre-press and printing—linking graphics, including fonts and creating color separations. Demonstrate executive presence establishes credibility quickly; commands attention and respect; demonstrates confidence and deals comfortably with clients and other stakeholders.
Qualification and Experience:
University/Bachelor/technical degree or equivalent work experience required (This should be modified per region to meet cultural education requirements as determined by recruiting)
2-3+ years of Graphic Design/Communications / Pursuits Strategy experience
Familiarity with the workings of large Global organizations
Strong understanding of Pursuit Activation or new business pitches
Proven ability to influence and build collaborative relationships with a wide range of stakeholders

Key Responsibilities
You will lead/support our customers on a project basis in topics such as data strategy, data architecture, data analysis, data visualization, process automation, data governance, data science and AI.
You will analyse, capture, and document requirements for data, AI, and automation use cases in close coordination with stakeholders. Ensure clear and precise definition of requirements to meet customer needs.
You will be responsible of designing, building, and maintaining data and AI pipelines in production.
You will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
You will evaluate and implement solutions for data infrastructure, including data stores, data warehouses and database systems.
You will help our clients navigate the complex world of modern data science, analytics, and software engineering.
You will provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging problems for our clients.
You will think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.
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.
Up-to 6 years of full-time working experience in Data and/or AI and/or Machine Learning or a similar role.
Strong skills in Python and/or R, and SQL.
Experience working with popular ML packages such as scikit-learn, Pytorch, TensorFlow, or related ML libraries.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
Experience designing, building, and maintaining ML models, frameworks, and pipelines in a production environment – on-prem or cloud.
Good understanding of the different data architecture patterns (e.g., Data Lake, Data Mesh, Data Warehouse, Data Lakehouse)
Solid understanding of data modelling, ETL processes, and data integration techniques, including experience of implementing the above concepts.
Experience with data visualization and BI tools such as PowerBI and/or Tableau.
Ability to work with a wide variety of data types (i.e. structured and unstructured), extracting and integrating data from modern and legacy data platforms
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Clearly communicating findings, recommendations, and opportunities to improve data/AI systems and solutions.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
It will be a plus if you have
A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different Data & AI approaches.
Experience working with diverse teams to deliver complex solutions.
Familiarity with Generative AI models and frameworks e.g. OpenAI family, open source LLMs, etc.
Experience fine-tuning Generative 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.
משרות נוספות שיכולות לעניין אותך