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Data Scientist
DWS Investment
posted 2mon ago
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Key skills for the job
Job Description
Your key responsibilities
As a Data Scientist you are part of the AI Analytics Hub in the global COO division
- Build advanced analytics use cases on investment- and product-related topics for e.g. Peer Comparison, Market Flow Trends, Performance etc. on our Qlik Sense based business intelligence (BI) platform
- Build state-of-the-art AI-solutions (GenAI, Machine Learning, etc.) which can differentiate ourselves from competitors and increase efficiency in our company
- Work on product-related topics (e.g., fund flow prediction, market sentiment, trend analysis, rating forecasting, sales opportunities)
- Further expand capabilities of our self-service Qlik Sense platform
- Improve our central data model and support further integration into strategic data sources of DWS
- Contribute to ongoing methodological and technological improvements of our approach
- Be an effective communicator between business and IT/ digital teams
- Embrace start-up mentality to ensure competitiveness in a growing digital market.
Your skills and experience
Education and Experience
- Bachelor or Master in Computer Science/ Engineering/ Statistics or any other quantitative discipline
- 2+ year experience in the implementation of data science solutions (ETL, model implementation, data processing)
- 2+ year experience in data visualization, preferably in the leading BI platform Qlik Sense
- 2+ year experience in data management and modeling
- Experience in Data Science with Python (Big) Data Engineering
- Knowledge of GCP (e.g. Vertex AI, Looker, Big Query, AutoML, DataFlow), Hadoop / Spark and relevant data science libraries would be a definite plus
- Experience in implementing LLMs and RAG-layers into business applications
- Experience in prompt engineering
- Advanced Proficiency in MS-Office, particularly XLS and PPT
- Experience with the relevant data providers such as Morningstar, Broadridge, eVestment is an advantage
- Strong analytical skills with engineering mindset
- Good business acumen, with the aptitude to successfully translate between technical and non-technical audiences including a good understanding of the model lifecycle from discovery to deploymen
Competencies
- Ability to discuss at eye level with senior business stakeholders - experience in investment management or in strategy consulting would be a plus
- Highly organized with a keen eye for detail and proven track record operating in a fast- paced environment
- Intellectual curiosity and initiative
- Very good communication skills in English - further skills in German would be an asset
- Ability to work independently and as part of the team with an entrepreneurial spirit and a passion to learn and apply new technologies.
Employment Type: Full Time, Permanent
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