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Technical Data Consultants for our Data Science team in Copenhagen

Job Description

Do you get energy from delivering brilliant data solutions to clients? Are you passionate about enabling organizations to leverage data and AI to transform their businesses? Would you enjoy working in a consultancy where your focus is on client impact, collaboration, and results?

If so, you may be the perfect fit for our diverse team of expert. We are seeking technical management consultants to deliver cutting-edge integration and data services that empower our clients to achieve their digital transformation goals.

Why is this role important?
Organisations increasingly recognize the value of data and AI, but many struggle with the complexities of integrating systems, developing data-driven strategies, and operationalizing AI solutions. Your role is to partner with clients, understand their unique technical challenges, and deliver tailored integration and data solutions that unlock new opportunities and values to the business.

What will you deliver to clients?
In this role, you will deliver best-in-class services to help clients harness the power of their data and AI investments. Your responsibilities include:

  • Providing client-focused solutions: It’s paramount that you are able to work closely together with our clients to understand their goals and challenges, designing and implementing data integration frameworks that meet their specific needs.
  • Know how to build scalable systems: Deliver advisory on how to evolve robust, secure, and AI-ready data pipelines and APIs that enable seamless data exchange across client platforms.
  • Enabling AI-driven transformation: Help clients operationalize AI and machine learning models by advising on integration solutions to support real-time analytics and decision-making.
  • Driving data governance: Advising clients on establish long term data integration strategies and frameworks to ensure scalability, compliance, and alignment with business objectives.
  • Managing client relationships: Serve as a trusted advisor, guiding clients through every step of their data journey, from strategy development to solution implementation.

PA is an innovation and transformation consultancy. We believe in teamwork and the power of ingenuity to build a positive human future in a technology-driven world. To us, that means using our curiosity and technical proficiency to turn our clients’ business needs into data requirements. With this approach, we assist the most interesting organisations (private and public) with their key data transformations – locally and globally.  

We believe that value is created in collaboration and by working shoulder-to-shoulder with our clients. You will be part of an international environment where we value teamwork, sparring and feedback. It is also an environment that requires learning and new knowledge so that we can deliver brilliant work to our clients. With us, you will follow the latest developments in the field, while at the same time having access to training and certifications. We are therefore looking for someone with an open and curious approach to solving challenges and who is driven by acquiring new knowledge.  

Your employment with us starts with a thorough introduction. To support your development, you will from day one be assigned a manager and a buddy who, together with you, will prepare a development plan adapted to your skills and interests.

The team
You will be joining our Data Science team in Copenhagen – a team with diverse backgrounds. In our approach to management consulting, we strike a balance between interesting client engagements, internal PA collaborations and professional upskilling. We do this in a collaborative manner that leaves room to cultivate our other interests in life, which span everything from board game nights and fermentation hobbies to water polo, trail running, climbing and just spending time with our family and friends. If you have a sport or hobby you love, we are happy to try it out as a team. In general, PA is a workplace where you can be very social. We usually meet each other on Fridays in the PA office, and we enjoy team dinners, wine tastings, paddle or other social activities.  

We work in a flexible environment, where you are the boss of your own time to the extent that you deliver on agreed obligations such as client engagements. Even though it depends on our clients, it is usually possible to have days where you work from home.

Qualifications

We are seeking data professionals at various levels within our Data Science team. Whether you are at the beginning of your career journey or have many years of experience, we would like to hear from you.

We think you will be a great fit if you agree with some of the factors below:

  • Experience in data integration, system design, solution architecture, with a focus on delivering client-facing solutions.
  • Experience with integration patterns and associated technologies e.g. event driven, service-oriented, ETL/ELT processes (Kafka, RabbitMQ, Mulesoft, Power Apps etc.)
  • Experience with data transformation and AI-enabling frameworks.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for data and AI workloads.
  • Experience with security, cybersecurity or data governance framework.
  • Strong communication and relationship management skills to bridge technical solutions with client objectives.
  • A client-first mindset, with the ability to balance technical excellence with business outcomes.
  • Strong analytical and problem-solving skills, particularly in applying data for predictive and AI-driven decision-making.
  • Exceptional communication skills to bridge technical solutions with AI and business goals.
  • Talk, write and understand a Nordic language and fluent in English in writing and talking.

Additional Information

If it sounds like a challenge tailormade for you, then apply already today. We will be interviewing continuously, as we want the best candidates for the team.   

If you have any questions, please contact

- Brit Kongstad (Principal Consultant): [email protected] 
- Linnea Landgren (Talent Acquisition): [email protected]

Inclusion and diversity
We believe that diversity makes us a stronger firm, and we look to employ people with different ideas, styles and skillsets. This diversity stimulates a rich, creative environment – one in which our people develop, and our clients enjoy enduring results. 

We’re committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA’s goals, without regard to their gender, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status. 

About us
We believe in the power of ingenuity to build a positive human future.

As strategies, technologies and innovation collide, we create opportunity from complexity.

Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.

An innovation and transformation consultancy, we are over 4000 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists.

We operate globally from offices across the UK, US, Netherlands and Nordics.

Average salary estimate

$80000 / YEARLY (est.)
min
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$70000K
$90000K

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What You Should Know About Technical Data Consultants for our Data Science team in Copenhagen, PA Consulting

Are you ready to embark on an exciting journey with PA as a Technical Data Consultant in our Data Science team based in beautiful Copenhagen? If you thrive on delivering exceptional data solutions and have a passion for leveraging data and AI to transform businesses, we’d love to hear from you! Your primary focus will be on client impact, collaboration, and achieving results alongside a diverse team of experts. In this role, you will engage directly with clients to navigate their unique technical challenges, helping them design and implement tailored data integration solutions. You’ll also advise clients on building scalable AI-ready data pipelines, enabling them to harness the power of AI and machine learning for real-time decision-making. Working closely with various organizations, you'll play a crucial role in shaping long-term data strategies that align with their business objectives while ensuring data governance compliance. At PA, we take pride in creating an innovative, collaborative environment, where your growth is supported from day one. With access to ongoing training and a strong focus on teamwork, you’ll find a nurturing space to develop your skills. Our Data Science team embraces not just professional upskilling but also the joy of shared hobbies and activities, from board game nights to team sports. We’re looking for passionate individuals eager to make a significant impact in the world of data—if that sounds like you, come join us at PA in Copenhagen!

Frequently Asked Questions (FAQs) for Technical Data Consultants for our Data Science team in Copenhagen Role at PA Consulting
What are the primary responsibilities of a Technical Data Consultant at PA?

As a Technical Data Consultant at PA, you will primarily focus on delivering client-centered data integration solutions, helping organizations navigate their data and AI challenges. You will be responsible for designing and implementing data integration frameworks, advising on AI and machine learning solutions, and establishing long-term data governance strategies. Your role will emphasize collaboration with clients to enable them to achieve their digital transformation goals.

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What qualifications are needed for the Technical Data Consultant position at PA?

To be considered for the Technical Data Consultant position at PA, candidates should have experience in data integration, system design, and solution architecture, with a focus on client-facing solutions. Familiarity with cloud platforms (AWS, Azure, Google Cloud), data transformation, and AI frameworks is essential. Strong communication and relationship management skills are also critical, along with an analytical mindset for applying data to decision-making processes.

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How does PA support the professional development of Technical Data Consultants?

PA is committed to the professional growth of its Technical Data Consultants through a robust onboarding process, continuous training, and a personalized development plan tailored to individual skills. From day one, you will be paired with a manager and a buddy who will help guide your journey, ensuring you stay updated on the latest industry trends while acquiring new knowledge that contributes to your role.

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What is the work culture like for Technical Data Consultants at PA in Copenhagen?

The work culture at PA in Copenhagen is vibrant and inclusive, encouraging teamwork and fostering creativity. As a Technical Data Consultant, you will collaborate with a diverse team that values collective achievements and personal interests. The company promotes a flexible work environment where social activities, shared hobbies, and client-engagements coexist harmoniously, making PA not just a workplace but a supportive community.

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What are the growth opportunities for Technical Data Consultants at PA?

There are ample growth opportunities for Technical Data Consultants at PA. The company's focus on professional development, alongside exposure to diverse client projects across various industries, allows consultants to expand their skills and expertise. You'll have the chance to take part in innovative projects, receive feedback on your performance, and create a career path that aligns with your aspirations.

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Common Interview Questions for Technical Data Consultants for our Data Science team in Copenhagen
Can you describe your experience with data integration and solution architecture?

In answering this question, highlight specific projects where you have implemented data integration solutions. Discuss the technologies you used and how your approach aligned with client objectives, emphasizing your ability to tailor solutions to meet unique needs.

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What strategies do you use for managing client relationships?

Focus on your approach to building trust and rapport with clients, including regular communication, active listening, and understanding their business goals. Provide examples of how you have successfully navigated challenges and maintained long-term engagement.

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How do you stay updated on the latest trends in data science and AI technologies?

Discuss your commitment to continuous learning through industry events, online courses, reading relevant publications, or participating in professional networks. Share specific instances where new knowledge positively impacted your work.

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Can you discuss a time you solved a complex data problem?

Provide a structured response using the STAR method (Situation, Task, Action, Result). Describe the context of the problem, your specific role, the actions you took, and the results, preferably highlighting measurable outcomes.

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What role do you think data governance plays in a data-driven organization?

Emphasize the importance of data governance for compliance, risk management, and ensuring data quality. Discuss how effective governance frameworks can lead to better decision-making and overall business success.

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How would you explain complex data concepts to a non-technical audience?

Showcase your ability to simplify complex topics by using relatable analogies and avoiding jargon. Provide an example of how you have successfully communicated technical information to stakeholders with varying levels of expertise.

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What experience do you have with cloud platforms for data and AI workloads?

Discuss your experience with specific cloud platforms, detailing the projects where you've leveraged them. Highlight the advantages of using cloud solutions for scalability, flexibility, and cost-effectiveness in data integration and AI.

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How do you approach designing scalable and robust data pipelines?

Explain your process for assessing requirements, selecting appropriate technologies, and ensuring scalability. Mention best practices such as modular design, performance monitoring, and security measures.

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Describe your familiarity with security and compliance in data management.

Discuss key frameworks and practices you’ve implemented to ensure data security and compliance. Provide examples where your efforts have helped mitigate risks and aligned with regulatory standards.

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How do you balance technical excellence with client business outcomes?

Explain the significance of understanding client objectives and aligning your technical solutions with desired business outcomes. Illustrate this with an example where you successfully merged technical skills with effective problem-solving to achieve measurable results.

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Our clients recognise we’re different. We’re different in ‘what’ we do, and even more in ‘how’ we do it. Our strategy work helps clients deliver innovation into the real world. At the heart of our business are our people – strategists, technologis...

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Full-time, hybrid
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March 23, 2025

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