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Data Scientist (AI / ML)

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for an AI Business Analyst to join our UniQue team.

What will you be doing in this role?

  • Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution.
  • Specify and design presentation interfaces with optimal usability/user experience.
  • Produce data models according to specific problems statements.
  • Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions).
  • Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
  • Interact with data stewards and other IT stakeholders to define the data rules.
  • Define data controls and implement actions to ensure data quality and integrity.
  • Create automated anomaly detection systems and constant tracking of its performance.
  • Data mining using state-of-the-art methods.
  • Process, clean, and verify the integrity of data used for analysis.
  • Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts.
  • Analyse data architecture for consistency, completeness, accuracy and reasonableness.
  • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements.
  • Analysis and documentation of Business and functional requirements, business cases and risk analysis.
  • Assistance in Business cases, Vision documents, Project Charters and Security Plans.

What do you need to succeed in this position?

  • Master's Degree in IT field with minimum 13 years of relevant experience (or Bachelor's Degree with minimum 17 years experience).
  • At least 2 years of experience in Machine Learning, Natural Language Processing and Large Language Models.
  • At least 2 years of experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
  • At least 2 years of experience with Data Analytics techniques, over big datasets, non-structured databases as well as data lakes.
  • Minimum 1 year of experience in the ETL processes and tools (SAS, Talend Open Studio).
  • Experience in the field of corpus-based linguistics.
  • Experience with alignment models and classification methods.
  • Experience with languages like R, Python, PERL.
  • Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.).
  • Good knowledge of BPMN or UML or other with equivalent value.
  • Good knowledge of Wiki and collaborative sites.
  • Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData).
  • Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL).
  • Knowledge of architectural design and implementation of scalable modern data stores.
  • Knowledge of software development methodologies (e.g., RUP, Agile).
  • Knowledge of Graph Databases.
  • Knowledge in one of the following areas: predictive, prescriptive, sentiment analysis, topic detection.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at for more information.

What You Should Know About Data Scientist (AI / ML), Uni Systems

Are you ready to join a dynamic team and make a real impact in the world of technology? At Uni Systems, we are on a mission to turn digital visions into reality, and we’re excited to welcome a talented Data Scientist specializing in AI and Machine Learning to our UniQue team. In this role, you’ll dive into collecting business requirements and analyzing advanced AI solutions, while tapping into your skills in data mining, machine learning, and business intelligence. Your creativity will shine as you design optimal user interfaces and data models that address specific problem statements. With a focus on analytics architecture, you’ll be responsible for maintaining data quality and integrity through the implementation of data controls and automated anomaly detection systems. You’ll also engage with various stakeholders to ensure smooth project execution across teams. If you have a passion for NLP, ML, and large datasets, we want to see how you can contribute to our vision and strategy. Bring your expertise in machine learning techniques, data analytics, and programming languages like R and Python, and join us as we venture into the future of technology. Don’t miss this opportunity to be part of a supportive and inclusive workplace where your skills will be valued, and your contributions recognized!

Frequently Asked Questions (FAQs) for Data Scientist (AI / ML) Role at Uni Systems
What are the responsibilities of a Data Scientist at Uni Systems?

As a Data Scientist at Uni Systems, you'll be responsible for collecting business requirements, analyzing advanced AI solutions, and creating data models tailored to specific challenges. Your role will require you to design user-friendly interfaces and contribute to the overall analytics architecture, ensuring data quality through effective controls and automated detection systems.

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What qualifications does a Data Scientist at Uni Systems need?

To succeed as a Data Scientist at Uni Systems, a Master's Degree in IT or a related field is preferred, alongside at least 13 years of relevant experience (or a Bachelor's with 17 years). Essential qualifications include a strong background in Machine Learning, NLP, data analytics techniques, and familiarity with tools like SAS or Talend.

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What skills should a Data Scientist have at Uni Systems?

A Data Scientist at Uni Systems should possess strong analytical skills, proficiency in programming languages such as R and Python, and experience with machine learning algorithms. Additionally, knowledge of business intelligence tools, SQL, and architectural design will be crucial for effective performance.

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What kind of experience is needed for the Data Scientist position at Uni Systems?

Candidates applying for the Data Scientist position at Uni Systems should have at least two years of experience in Machine Learning and data analytics. Proven experience with ETL processes and big datasets is a must, along with familiarity with modern data stores and software development methodologies like Agile.

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Is there an opportunity for career growth as a Data Scientist at Uni Systems?

Absolutely! At Uni Systems, we foster an environment of continual learning and professional development. As a Data Scientist, you'll have ample opportunities to expand your skills, take on leadership roles in projects, and contribute strategic insights that can propel not just your career but also the company's mission forward.

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Common Interview Questions for Data Scientist (AI / ML)
Can you explain a machine learning project you have worked on?

When answering this question, focus on the project’s objectives, the data you worked with, the algorithms used, and the results achieved. Emphasize your role, challenges faced, and how you overcame them to show your problem-solving skills.

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How do you approach data cleaning and preparation?

Discuss the importance of data quality and your methods for identifying and handling missing or erroneous data. Mention specific tools or libraries like Pandas in Python and methodologies you use to ensure the data is ready for analysis.

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What machine learning algorithms are you most familiar with?

Recount specific algorithms such as k-NN, SVM, Decision Trees, etc., that you’ve implemented. Explain when and why you would choose each algorithm based on the type of data and problem you are attempting to solve.

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How do you validate the effectiveness of a model?

Highlight your ability to use metrics such as accuracy, precision, recall, and AUC. Discuss your experience with techniques like cross-validation and A/B testing to ensure that the model performs well on unseen data.

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What programming languages do you prefer for data analysis and why?

Share your preference for languages like Python or R, outlining their strengths, ease of use, and the rich ecosystem of libraries that facilitate data manipulation and visualization.

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Can you illustrate your experience with NLP projects?

Detail any relevant NLP projects, focusing on the tools and techniques you used, such as tokenization, sentiment analysis, or use of large language models. Emphasize the outcomes of the project and your specific contributions.

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How do you stay updated on the latest developments in AI and machine learning?

Mention resources such as academic journals, online courses, industry conferences, and forums where experts discuss trends and advancements. This demonstrates your commitment to continual learning in the fast-evolving tech landscape.

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What do you consider when designing an analytics architecture?

Discuss the importance of scalability, ease of data access, and integrity. Share past experiences where you have assessed and chosen architecture frameworks that align with business goals and user needs.

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How do you manage communication with different stakeholders during a project?

Explain your collaborative approach to ensure all stakeholders are aligned throughout the project. Highlight tools you use for documentation and communication, ensuring transparency and feedback.

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What do you see as the biggest challenges in data science today?

Discuss the challenges such as data privacy, managing bias in algorithms, and the need for interpretability within AI models. Talk about how you believe these challenges can be addressed in the industry.

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Uni Systems SA, a 100% subsidiary of Info-Quest, the largest IT Company in Greece for many years, is the Group's specialized integrated technology solutions implementation Company. Uni Systems is the largest IT & Communications integrated solution...

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Full-time, remote
DATE POSTED
February 26, 2025

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