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DWS Group & GmbH Co KgaA

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based on 18 Reviews

332 DWS Group & GmbH Co KgaA Jobs

Data Scientist

DWS Group

based on 18 Reviews

2-4 years

Mumbai

1 vacancy

Data Scientist

DWS Group & GmbH Co KgaA

posted 1mon ago

Flexible timing

Key skills for the job

+ 3 more

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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