Data Scientist / Data Engineer (Python)

Location: Munich/Ramallah

Innotech – As a growing company, aims to provide innovative and digital solutions that satisfy our customers’ needs. Our products go through the entire development cycle of requirement specifications with the customers, the design of the system, development using modern technologies, and quality assurance of the product. Performance, security, reliability, and scalability are our top aims while working specifically in the area of private equity, one of the fastest-growing institutional asset classes today in the financial markets.

At Innotech, we seek motivated individuals to manage the development of our software platform. We value smart and innovative people who also work effectively in a team environment. As a dynamic and agile company, we encourage our staff to focus on achieving results and growing their potential.

We are looking for an efficient data scientist with a hard-working attitude to support our data processing activities out of our existing Ramallah office. To ensure smooth onboarding, you will receive intense training at Head Quarters providing a deep insight into the business processes with a focus on data processing frameworks to cultivate a good understanding of operations.

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Innotech is seeking to fill a Data Scientist / Data Engineer (Python) opening with the following responsibilities:

• Responsible for streamlining the development of unstructured financial data.
• End-to-end data project execution to support the internal processes of a Fintech company.
• Facilitate evaluation of external prefabricated data processing solution vendors.
• Supplement database with external data sources through web scraping.
• Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
• Support cross-end data model visualization for data relation impact analysis.
• Coordinate communication across departments with various stakeholders.
• Assist product team in data product testing from a data engineering perspective.

Your Profile:

• Bachelors/Master’s degree in Computer Science, Information Systems, Data Analytics, Finance, Mathematics, or a related field.
• Proficiency in Python (experience with NLP and deep learning is a plus)
• Experiences with handling scaled data sets and practical know-how's in data-related topics
• First experiences in data science-driven roles would be a strong plus
• Working proficiency in Python to conduct scaled data analysis. Working proficiency in relational database concepts and SQL queries
• Quantitative mind and analytical character, interested in financial data and passionate about getting insights behind
• A profound understanding of database domain knowledge, e.g. SQL queries, DB models, schema, and properties.
• 3+ years of experience in the areas of financial data engineering or analysis.
• Experience in handling MS Office apps, especially Excel.
• Ability to efficiently coordinate and communicate information from internal stakeholders and customers.
• Very good level of English skills (written and oral), German a plus.
• Flexibility to travel to Germany and staying longer periods of time to be able to understand existing business process flows.

Why Innotech:

• Being part of a strong and unique growth story – the largest digital Private Markets network based on innovative data gathering and state-of-the art analytical tools.
• Exciting and challenging role in a dynamic and international team & environment.
• Work in private equity - one of the most demanded and attractive finance industries today
• Professional development opportunities and potential for career growth.
• Support with training and coaching.

Did we get your attention?

Then we would like to hear from you and schedule an interview. If your profile fits our criteria, please apply online through Apply Now. Only applications received through it will be considered. We thank all applicants for their interest, but regret that only short-listed candidates will be contacted.

Looking forward to receiving your application!