4 November 2024
We are seeking an experienced Data Scientist to join a leading global banking institution. In this role, you will leverage your expertise in data analytics, machine learning, and AI to drive innovative, data-driven solutions that address complex business challenges. You will work with vast amounts of data to extract insights, build predictive models, and contribute to the strategic decision-making process.
This is an exciting opportunity to make a significant impact within the financial sector by applying advanced data science techniques on a global scale.
Mandatory Skill(s)
- Have 4 years of hands-on experience in data science and machine learning;
- Bachelor or higher degree in Mathematics, Computer Science, Statistics, or a related field;
- Proficiency in NLP, Neural Networks & Object Detection: Hands-on experience in Natural Language Processing (NLP), Convolutional Neural Networks (CNN), LSTM, and Document Processing Automation;
- Proven track record in using classical and advanced machine learning techniques such as supervised/unsupervised learning, clustering, classification, regression, and decision trees;
- Proficiency in Python and data science libraries like Scikit-learn, Pandas, Matplotlib, etc;
- Proficiency in Data Analytics (data collection, cleaning, wrangling, and exploratory data analysis);
- Strong knowledge of SQL and experience with analytical tooling;
- Experience with Google Cloud Platform (GCP), VertexAI, or Azure for machine learning operations (MLOps);
- Strong problem-solving skills and a data-driven approach to decision-making.
Desirable Skill(s)
- Comfortable working in global, remote teams and coordinating efforts across different time zones;
- Ability to translate complex data-driven insights into business language and present findings effectively to non-technical stakeholders.
Responsibilities
- Utilize data analytics, machine learning models, and data visualization techniques to generate insights that solve complex business problems;
- Build machine learning models for tasks like NLP, Object Detection, Optical Character Recognition (OCR), and Document Classification to drive automation and operational improvements;
- Collaborate with product owners, senior management, and other stakeholders to deliver data-driven recommendations and clear visualizations that inform business strategies;
- Stay current with the latest advancements in machine learning and AI to develop innovative solutions tailored to the organization’s needs;
- Ensure all data usage complies with internal and external regulatory policies, maintaining data privacy and security;
- Effectively manage timelines and deliverables, ensuring key business expectations are met.
If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Kiran Kumar Pandity at kiran.kp@sciente.com quoting the job title.
