What success looks like in this role:

We are looking for a skilled and proactive Data Scientist to join our team, focusing on analyzing Service Desk data using advanced Natural Language Processing (NLP) techniques and generative AI. The primary goal of this role is to generate actionable insights that lead to ticket reduction and overall improvement of business operations. The following points shall clarify on your future tasks:

• Utilize NLP and generative AI to analyze Service Desk data, identifying patterns and trends that contribute to ticket generation and proposing strategies for ticket reduction.

• Develop, fine-tune, and deploy machine learning models specifically designed to enhance the accuracy and relevance of ticket categorization and resolution recommendations.

• Work closely with cross-functional teams to implement insights derived from data analysis, ensuring that proposed solutions are actionable and lead to measurable improvements.

• Stay updated on the latest advancements in NLP and generative AI, continuously experimenting with new techniques and integrating them into our data analysis processes.

You will be successful in this role if you have:

• A minimum of 3 years of experience in data science with a strong emphasis on NLP and generative AI projects.
• Proven experience in applying NLP techniques and generative AI models to real-world data, with a track record of delivering impactful insights.
• Strong proficiency in Python and its associated libraries for machine learning and data analysis (e.g., Pandas, scikit-learn)
• Excellent analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights.
• Ability to quickly learn and adapt to new technologies and methodologies in a fast-paced environment.
• Strong communication skills in English, capable of effectively presenting complex findings to both technical and non-technical stakeholders.

Benefits

• Become part of our "Winning Culture"! An international and varied field of work with worldwide opportunities awaits you! We always strive for the optimum for our first-class customers from a wide range of industries!
• Corporate Social Responsibility and DEI standards (Diversity, Ethics and Inclusion) are very important to us and go far beyond the usual! Associate Impact Groups are formed on a voluntary basis to further develop and support our DEI standards internally.
• Our Unisys University is available to you according to your individual needs. An MBA sponsorship program is also available! Our goal is to help you realize your individual potential!
• International work opportunities abroad for all employees
• "Wellbeing & Employee Assistance Program": Your (mental) health is important to us and is treated confidentially by a neutral party!
• Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme and various allowances
• Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
• Extended health insurance coverage also for private use 

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Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4).  US job seekers can find more information about Unisys’  EEO commitment here.