דרושים Techops-de-cloudopsams-sap Sd-manager ב-Ey ב-India, Thiruvananthapuram

Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical 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.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 14+ 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.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• 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.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• 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.

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.

Working in our practice, you will have the opportunity to work with clients to provide practical risk management, internal audit solutions and gaining valuable experience in a variety of clients.

Your key responsibilities

The current role requires leading internal audit and other risk consulting engagements for Real Estate construction companies. As part of the role, the candidate is expected to:

• Responsible for leading and executing client engagements and meeting the expectations of the client and the onsite team within the MENA region.
• Ability to interact with all levels of management, including C-Suite management
• Possess in-depth sector knowledge and practical experience in at least one of the following industries: Real Estate & Construction, Airport, or Aviation.
• Have thorough knowledge and understanding of Internal Audit methodology and IIA requirements.
• Deliver / manage engagements to time, cost and high quality.
• Identify key areas of improvement in the client's business processes and add value by preparing insightful recommendations.
• Contribute to business development activities such as preparing proposals, lead identification
• Always comply with the firm’s quality and risk management policies
• Manage multiple assignments and related project teams.
• Maintain excellent rapport and proactive communication with the client
• Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers
• Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development

Skills and attributes for success

• Exceptional command on spoken and written English
• Globally mobile and flexible to travel to onsite locations at a short notice
• Highly analytical, organised and meticulous consulting skills
• Demonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members
• Ability to multi-task, work well under pressure with commitment to deliver under tight deadline
• Strong organizational skills with ability to prioritize effectively
• Attention to detail and quality assurance
• Proficient in MS-Office Suite, data analysis & validation

To qualify for the role, you must have

• Bachelor’s degree in Engineering or relevant professional qualification such as CA, ACCA,CIA
• Experience in Internal Audit /Risk Management with Real Estate and Construction sector focus
• A minimum of 11 years of relevant work experience
• A valid passport for travel.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical 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.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 8-11 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.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• 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.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• 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.

Your key responsibilities

• Architecting and implementation of Defender XDR.
• Perform as the subject matter expert on Microsoft Defender for the customer, use the capabilities of the solution in the daily operational work for the end customer.
• Securing overall cloud environments by applying cybersecurity tools and best practices
• Advise customers on best practices and use cases on how to use this solution to achieve customer end state requirements.
• Content development which includes developing process for automated security event monitoring and alerting along with corresponding event response plans for systems

Skills and attributes for success

• Hands-on experience with Microsoft Defender and related technologies (e.g., Windows Defender, Microsoft Defender XDR, Defender for cloud, Defender for IoT).
• Ability to work independently and collaboratively in a fast-paced environment, with a strong commitment to customer service and teamwork.
• Expertise in use case management in Defender XDR
• Create and maintain documentation related to Microsoft Defender configuration, policies, procedures, and incident response playbooks.
• Expertise in Microsoft Intune for AV policy creation and deployment
• Knowledge in Cloud technologies such as Azure, AWS
• Strong technical knowledge in Windows Server/Linux
• Identify opportunities for performance optimization and efficiency improvements within Microsoft Defender solutions, and implement changes as needed
• Scripting knowledge (Python, Bash, PowerShell)
• Extensive knowledge of different security threats
• Good knowledge and experience in Security Monitoring
• Good knowledge and experience in Cyber Incident Response

To qualify for the role, you must have

• B. Tech./ B.E. with sound technical skills
• Strong command on verbal and written English language.
• Demonstrate both technical acumen and critical thinking abilities.
• Strong interpersonal and presentation skills.
• Certification in Azure (SC-200, SC-100, SC-900,AZ-500) (any other cloud vendor certification is a plus)

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

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.

Key Responsibilities

• Lead and manage a team of 5–8 professionals, including Senior Consultants and Analysts, in delivering high-quality Financial Services and Risk Management engagements aligned with client objectives.
• Provide subject matter expertise on capital market instruments, focusing on pricing and risk assessment of fixed income, equity, FX, interest rate, credit, and derivative products.
• Take ownership of project planning and execution, ensuring timely delivery, quality assurance, and effective communication with stakeholders.
• Oversee and ensure the quality of deliverables, providing guidance and final review to maintain high standards.
• Serve as the primary point of contact for mid-level client stakeholders, managing expectations and ensuring satisfaction.
• Stay current with financial market developments and regulatory changes to inform strategic recommendations.
• Adapt to diverse projects involving model audits, validation, and development, demonstrating flexibility and domain expertise.
• Mentor and coach junior team members, fostering a culture of continuous learning and performance excellence.

Must-have:

• Bachelor’s degree in quantitative finance, Financial Engineering, Mathematics, Physics, Statistics, Engineering or other numerical subjects from a reputable institution.
• 6–8 years of experience in financial services, consulting, or risk management, with exposure to pricing, valuation, or quantitative modeling of financial instruments.
• Strong understanding of risk analytics, including hedge effectiveness.
• Proficiency in at least one programming or analytical language (e.g., Python, VBA, MATLAB).
• Familiarity with financial data platforms and tools (e.g., Bloomberg, Refinitiv, Numerix).
• Excellent analytical, communication, and documentation skills.
• Proven ability to manage multiple projects and deliver results in a fast-paced, client-facing environment.

Preferred:

• Professional certifications such as FRM, CFA, or PRM.
• Experience with at least one pricing/risk management system (e.g., Calypso, Murex, Bloomberg).
• Exposure to quantitative and qualitative analysis of risk exposures, including scenario analysis and stress testing.
• Proven team management skills, including mentoring and developing junior staff.
• Willingness to travel for client engagements as required.

As a global leader in assurance, tax, transaction, and consulting services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that’s right for you.

Assistant Director, Risk Management

The role of the Conflicts sub-function in RMS is to identify and address potential conflicts of interest of new or existing engagements.

This opportunity will enable the professional to help the firm and its client serving professionals in making right decisions with respect to engagement acceptance, in sync with EY internal compliance policies and regulatory framework. This role will assist in evaluating the risks associated with each engagement and suggest ways to mitigate them. As a conflicts management professional, this opportunity enables to assesses internal EY relationships with the parties involved and provides safeguards to address the threat of potential conflict to an acceptable level. The process also identifies certain matters that need to be considered, or complied with, from an independence perspective, as well as other professional ethical standards and legal or regulatory requirements.

Technical Expertise:

• Develop process understanding around identifying and addressing conflicts of interest at EY and support team in managing service delivery, KPIs and client expectations.
• Builds up significant domain expertise on conflict checking and other related RMS processes and tools
• Coordinates the implementation of Global Delivery Services (GDS) support to conflict checking process across multiple customers.
• Develops comprehensive knowledge of each Service Line, Industries and local characteristics to demonstrate the ability to link-up conflict of interest situations with the rendered services.
• Builds and manages existing and future development of Conflict Checking team at GDS.
• Proposes suggestions and solutions for improvements to processes. identifies and reports best practices within area of focus.
• Manage operational, financial, and strategic responsibilities and projects, primarily including (but not limited to) areas like data governance, turnaround time (TAT), reporting, invoicing, financial planning, KPI benchmarking, headcount planning and process efficiency.
• Develop and implement a robust early warning system re process KPIs and benchmarks that can enable a zero-surprise delivery.
• Coordinates training schedules for new and existing members of the GDS conflict checking team.

Client Management

• Consults with or escalates conflict checks to Area Conflicts Leaders or Sub Area Conflict Coordinators on a timely basis
• Assist leadership in meeting agreed Service Level Agreements (SLA)
• Assist in managing the client’s expectation through a robust client management framework
• Regular Connect with leadership and senior stakeholder and independently lead conversations and maintain strong relationship.
• Sharing regular reports such as KPIs, other ad hoc reports with leadership and stakeholders.

People Management

• Responsible for performance management and appraisal process for the team
• Governing efficiency and productivity of the team members on a day-to-day basis. Ensures adherence to conflict checking work-flow protocol and tools
• Liaising with L&D team and recommend training requirements of the team to develop their technical and other soft skills
• Coaches and mentors team members for professional development and their career growth.
• Conduct team meeting and focus group discussions at regular intervals to ensure a positive and thriving work environment.
• Liaise with recruitment team and partner in hiring process to ensure an optimal pool of resource as well as enabling exceptional onboarding experience for people.

Skills and attributes for success

• Exceptional and proven customer service skills, including responsiveness and commitment to quality.
• Proficient in active listening, capturing key points effectively, and providing clear, concise responses to inquiries.
• Advanced capabilities in project management, with hands on experience in managing a variety of time-sensitive projects, both internal and external, with a track record of effective coordination.
• Outstanding in verbal communication, adept at crafting professional written materials, and proficient in creating and delivering engaging presentations.
• Unwavering commitment to ethical standards, integrity, and professional values.
• Resilient and driven, with an ability of thriving under pressure and adeptly handling multiple tasks in dynamic environments.
• Exceptional team-building spirit, interpersonal skills, and leadership acumen, with experience in guiding larger teams.
• Good awareness of overall business and economic environment at a country-level and at a global level.
• Demonstrate strong problem-solving skills, including creativity and innovative thinking
• Bring innovation to improve processes and work products, and have the ability to learn/adapt quickly when required
• Proven management experience with large teams, overseeing 40-50 individuals.
• Ability to work well in a team and committed to nurturing a harmonious work environment.
• Global mindset, with the ability to engage effectively in diverse, international settings.
• Strong analytical aptitude, paired with a methodical approach to problem-solving.
• Skilled in addressing and resolving team inquiries and serving as a key contact in escalation protocols.

To qualify for the role, you must have

• Post-graduate degree from a reputed institute.
• Preferably an International Certificate in Enterprise Risk Management or similar.
• Relevant experience of 10+ years and more in the same domain or related profile
• Candidates with exposure to handling international customers/client interaction would be preferred.
• Compliance functions in Big 4 or other professional service organizations
• Demonstrated ability to execute against project plans and expectations
• Well-developed analytical, interpersonal, and communication (both verbal and written) skills in English
• Advanced MS Office knowledge (especially in excel, presentation (ppt's)
• Proficient research & analytical skills with knowledge of databases

Ideally, you’ll also have

• Knowledge on difference between risk advisory and risk management
• Presentation skills, including public speaking and presentation creation using PowerPoint or a similar program
• Critical thinking skills with the ability to independently solve problems with data

Technologies and Tools

Experience in MS office suites like Microsoft 365, MS excel, PowerPoint.

What you can look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• A team which has its foundation in the core values of trust, respect and teaming. The team which focuses on supporting its colleagues to excel in their respective domains and provides avenues to help acquire and demonstrate new skills.
• Opportunities to work with Global Executive risk management teams on strengthening and monitoring compliance framework

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – 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.

TEM Manager – DevSecOps

As part of our Cyber Security team, you will build and manage a secure cloud/on-prem platform while ensuring seamless development, build and deployment capabilities. You will be responsible for the security assessment of infrastructure, database and applications, setting up processes and guidelines. You will work closely with DevOps, Architects and Developers and QA to build highly reliable and secure products. You shall also perform in-depth analysis of security test results and create report that describes findings, exploitation procedures, risks and recommendations.

Your key responsibilities

• Expertise managing large scale applications
• Understanding of OWASP SAMM, NIST SSDF, BSIMM frameworks.
• Ability to perform current state DevSecOps assessments, identify gaps and provide recommendations to the client.
• Experience with building an end-to-end DevSecOps program.
• Deep experience with CI/CD, DevSecOps automation
• Experience with Lean product development and agile software development principles and process
• Convey complex technical security concepts to technical and non-technical audiences including executives.
• Strong knowledge of OWASP Top 10 web and the ability to effectively communicate methodologies and techniques with development teams
• Ability to automate DAST/SAST solutions and reporting
• Support SDLC and agile environments with application security testing and source code reviews.
• Provide technical leadership and advise to junior team members on secure SDLC and DevSecOps engagements and Work closely with client development teams
• Develop automated solutions that mitigate risks throughout the organization.
• Support business development activities

Skills and attributes for success

• Experience with performing manual and automated SAST assessments.
• Experience with performing threat modeling and secure design reviews.
• Experience with scripting / programming skills (e.g., Python, PowerShell, Java, Perl etc.) updated and familiarized with the latest exploits and security trends.
• Familiarity with dynamic web application vulnerability scanning tools and services (Acunetix, HP WebInspect, IBM AppScan, BurpSuite, IBM AppScan)
• Familiarity with static code analysis tools and services (CheckMarx, Fortify Static Code Analysis tool, Veracode, Coverity, IBM AppScan Source)
• Experience in developing a DevSecOps CI/CD pipeline completely using open-source tools.
• Experience with SCM tools like Github, Gitlab, Bitbucket and their ability to integrated with CI/CD pipelines by using webhooks, actions, etc.
• Experience with implementing different phases of CI/CD like secret scanning, SAST, SCA, DAST, Infrastructure as code, compliance as code, vulnerability management.
• Experience with container security tools.
• Optimizing the pipeline to produce the best results and ability to plan a maturity model for the DevSecOps program.
• Understanding of web-based application vulnerabilities (OWASP Top 10).
• Experience with scripting / programming skills (e.g., Python or PowerShell or Java or Perl etc.).

To qualify for the role, you must have

• BE/ B.Tech/ MCA.
• Minimum of 10 years of work experience in application security, Secure SDLC and DevSecOps.
• Certifications: Mandatory to have any one of the below certifications,
  • Azure Security Architect (Az-500)
  • AWS security speciality certification (SCS-C01)
• Knowledge of Windows, Linux, UNIX, any other major operating systems.
• Strong Excel and PowerPoint skills.

Other recommended skills and certifications

• Project management
• Certifications: CSSLP, CISSP, Certified DevSecOps Professional

What we look for

A candidate who can design and build a complete DevSecOps programme and work around a maturity model, optimizing the pipeline to integrate the best tools according to the client requirement.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you