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Data Scientist

extra holidays
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Expertise in mathematics and data analysis tools., Experience with machine learning and predictive modeling., Strong background in data visualization techniques., Ability to collaborate with cross-functional teams..

Key responsabilities:

  • Design and implement data models for decision-making.
  • Collaborate with AI and backend teams for integration.
Calamatta Cuschieri logo
Calamatta Cuschieri Financial Services SME https://www.cc.com.mt/
51 - 200 Employees
See more Calamatta Cuschieri offers

Job description

Moneybase is a multi-award-winning finance platform that allows individuals and businesses to easily manage all their financial needs, from daily payments to and investments to treasury and wealth management.

Moneybase forms part of Calamatta Cuschieri Moneybase plc, a leading diversified financial services group that founded the Maltese financial services industry in 1971. We currently employ 200 people spread across 3 core business lines namely Fintech, Investment services and Fund administration. Calamatta Cuschieri Moneybase plc is considered to be an innovator in the areas it operates in. We believe in challenging the status quo and we aim for service excellence in everything we do.


Job Description:
We are looking for a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will play a pivotal role in integrating business intelligence and data models allowing us to analyse data to improve performance and user experience. This role requires expertise in mathematics and tools for data analysis

Key Responsibilities

- Design, develop, and implement models to allow the business to make key decisions.
- Collaborate with AI team to fine-tune AI models for performance and accuracy.
- Collaborate with backend developers to ensure seamless integration with our systems.
- Develop and maintain scalable and efficient machine learning pipelines.

Data Science and Analysis
- Analyse data to gain insights and improve performance.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies.
- Develop predictive models to enhance user experience and business operations.
- Visualize data and present findings to stakeholders in a clear and actionable manner.
- Work with cross-functional teams to define data collection and analysis requirements.
- Implement data-driven solutions to optimize trading algorithms and payment processes.

Required profile

Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Mathematics
  • Collaboration
  • Problem Solving

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