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- Aufgaben: Join our AI, Data & Analytics team as a Data Scientist, implementing ML and AI solutions.
- Arbeitgeber: InvestCloud is a leader in wealth technology, transforming financial services with innovative digital solutions.
- Mitarbeitervorteile: Work in a diverse team, implement cutting-edge tech, and enjoy a collaborative culture.
- Warum dieser Job: Be at the forefront of AI advancements, impacting clients' financial futures while growing your skills.
- Gewünschte Qualifikationen: MSc in a relevant field and 4+ years in Data Science, Machine Learning, and AI required.
- Andere Informationen: Regular office presence needed; occasional travel may be required.
Das voraussichtliche Gehalt liegt zwischen 21600 - 36000 € pro Jahr.
InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology.
About the Team
You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
We are seeking a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into the InvestCloud product suite.
Key Responsibilities
- Implement applications powered by Generative AI and Machine Learning models and deploy them in production
- Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
- Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
- Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
- Analyse large datasets to identify patterns, trends, and insights that can inform business decisions.
- Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives.
Required Skills
- MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
- At least four years of professional experience in Data Science, Machine Learning and AI
- Outstanding communications skills in English
- Proficiency in programming in Python
- Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
- Knowledge of data preprocessing, feature engineering and model evaluation metrics
- Experience using large language models, generative AI and agentic frameworks
- Experience working with Snowflake and / or Databricks or similar tools
- Working experience developing and deploying Machine Learning models in production
- Working experience with Git and Docker
- Working proficiency in English
- Strong communication skills to engage with non-technical stakeholders
- Ability to work in a fast-paced environment, working across multiple projects simultaneously
- Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
Preferred skills
- Working experience with Vector Database Technologies
- Experience with cloud platforms such as AWS, GCP, or Azure
What do we offer
Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
Location and Travel
The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required.
Compensation
The salary range will be determined based on experience, skills, and geographic location. Visa sponsorship is not available for this role.
Equal Opportunity Employer
InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
#J-18808-Ljbffr
Sachbearbeiter / in HR 60% Montag bis Freitags vormittags Arbeitgeber: Ospelt Gruppe
Kontaktperson:
Ospelt Gruppe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Sachbearbeiter / in HR 60% Montag bis Freitags vormittags
✨Tip Number 1
Make sure to showcase your experience with Machine Learning and AI projects during the interview. Be prepared to discuss specific examples where you've successfully deployed models in production and the impact they had on business outcomes.
✨Tip Number 2
Familiarize yourself with InvestCloud's product suite and think about how your skills in data science and machine learning can enhance their offerings. This will help you demonstrate your understanding of their needs and how you can contribute.
✨Tip Number 3
Stay updated on the latest trends in generative AI and machine learning. Being able to discuss recent advancements or case studies can set you apart and show your passion for the field.
✨Tip Number 4
Prepare to explain complex technical concepts in simple terms, as you'll need to communicate findings to non-technical stakeholders. Practice articulating your thoughts clearly and concisely.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Sachbearbeiter / in HR 60% Montag bis Freitags vormittags
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Scientist / Machine Learning Engineer position. Understand the key responsibilities and required skills, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to highlight relevant experience in Data Science, Machine Learning, and AI. Make sure to include specific projects where you have implemented ML models or worked with generative AI, as well as any programming skills in Python.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also emphasizes your ability to communicate complex ideas to non-technical stakeholders. Mention your enthusiasm for working in a fast-paced environment and collaborating with diverse teams.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio showcasing projects related to Machine Learning and AI. Highlight any experience with tools like Snowflake, Databricks, or cloud platforms, as these are relevant to the role.
Wie du dich auf ein Vorstellungsgespräch bei Ospelt Gruppe vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning frameworks like Scikit-learn and your proficiency in Python. Highlight specific projects where you developed and deployed ML models, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role involves engaging with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between data science and business needs effectively.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest advancements in AI and Machine Learning, especially in generative AI. Being able to discuss recent developments will show your passion for the field and your commitment to continuous learning.
✨Demonstrate Team Collaboration
Prepare examples of how you've successfully worked in teams, especially in fast-paced environments. Emphasizing your ability to foster open communication and mutual respect will align well with the company culture.
