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- Aufgaben: Architect and implement cloud solutions, develop machine learning models, and mentor junior engineers.
- Arbeitgeber: LGT Private Banking is a leading international private bank focused on innovation and digitalization.
- Mitarbeitervorteile: Join a family-owned business with a strong growth trajectory and a focus on personal customer experience.
- Warum dieser Job: Be part of agile teams creating cutting-edge AI solutions that enhance customer experiences.
- Gewünschte Qualifikationen: Advanced degree in Computer Science or related field; experience in full-stack development and machine learning required.
- Andere Informationen: No applications via recruitment agencies will be considered.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
LGT Private Banking is a leading international private bank and independent family-owned business. Our thinking is long-term, and we strive to innovate. In recent years, we have grown strongly – in Europe and in Asia. To ensure we remain successful, one factor is crucial: digitalization. It is a key strategic priority in the coming years. We want to combine the best of the analog and digital worlds, in interdisciplinary and agile teams. Our goal: to create a truly personal customer experience thanks to state-of-the-art services.Job DescriptionArchitect and implement scalable cloud-based solutions using AzureArchitect, design, adapt, develop, and deploy machine learning models and processes for business process intelligence such as OCR, process and document intelligenceArchitect, develop, maintain and support graph based business cases together with our graph specialistsUtilize full stack software engineering skills to integrate AI, ML and genAI solutions into our existing systemsCollaborate with cross-functional teams to understand business requirements and translate them into technical solutionsConduct thorough business analysis to ensure that solutions align with business objectivesOptimize machine learning models for performance and accuracyStay up-to-date with the latest advancements in AI/ML, OCR, and cloud technologiesMentor junior engineers and provide technical leadership within the teamRequirementsAdvanced degree in Computer Science, Engineering, or a related fieldMultiple years of experience as full-stack software engineer, preferably using programming languages such as Python, Java, or C++Familiarity with machine learning frameworksProven experience as a Machine Learning Engineer, with a focus on OCR and document analysisExperience with agile development methodologiesExperience with business analysis and the ability to translate business requirements into technical solutionsPlease note that we cannot consider applications via recruitment agencies for this position.Contact InformationWe are looking forward to receiving your online application.For any further information please do not hesitate to contact us.LGT Financial Services AGHuman ResourcesCorina Hohl #J-18808-Ljbffr
Senior Data Scientist 80-100% (w/m/d) Arbeitgeber: LGT – Private Banking und Asset Management
Kontaktperson:
LGT – Private Banking und Asset Management HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Scientist 80-100% (w/m/d)
✨Tip Number 1
Make sure to showcase your experience with cloud-based solutions, especially Azure. Highlight any specific projects where you architected or implemented scalable solutions, as this is a key requirement for the role.
✨Tip Number 2
Demonstrate your proficiency in machine learning, particularly in OCR and document analysis. Share examples of how you've developed and optimized machine learning models in previous roles to align with the job's focus.
✨Tip Number 3
Emphasize your full-stack software engineering skills. Mention specific programming languages like Python, Java, or C++ that you are proficient in, and provide examples of how you've integrated AI and ML solutions into existing systems.
✨Tip Number 4
Highlight your experience working in agile teams and conducting business analysis. Provide instances where you translated business requirements into technical solutions, showcasing your ability to collaborate effectively with cross-functional teams.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Scientist 80-100% (w/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, especially in areas like cloud solutions, machine learning, and business analysis.
Tailor Your CV: Customize your CV to highlight relevant experience in full-stack software engineering, machine learning, and any specific projects related to OCR or document intelligence. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also reflects your understanding of LGT Private Banking's focus on digitalization and customer experience. Mention how your background aligns with their goals.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasize your experience in collaborative environments. Provide examples of how you've successfully translated business requirements into technical solutions in the past.
Wie du dich auf ein Vorstellungsgespräch bei LGT – Private Banking und Asset Management vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, Java, or C++. Highlight specific projects where you implemented machine learning models or cloud-based solutions, especially using Azure.
✨Understand Business Requirements
Demonstrate your ability to translate business needs into technical solutions. Prepare examples of how you've conducted business analysis in the past and how it influenced your technical decisions.
✨Stay Current with Industry Trends
Familiarize yourself with the latest advancements in AI/ML, OCR, and cloud technologies. Be ready to discuss recent developments and how they could impact the role you're applying for.
✨Emphasize Collaboration and Mentorship
Since the role involves working in interdisciplinary teams, share experiences where you collaborated with others. Also, mention any mentoring roles you've taken on, as this shows leadership potential.
