UMATR

Focusing on staffing professionals within the Data, AI & ML space.

• Job Title: Senior Data Scientist
• Salary: Competitive + Equity Options
• Job Type: Full-time

About the Company:

I'm currently partnered with an innovative FinTech company that is leveraging artificial intelligence and machine learning to redefine financial services. By using data-driven insights and predictive analytics, the company is enabling smarter decision-making and delivering next-generation financial products.

The Role:

The company is looking for a Senior Data Scientist to develop and optimise AI-powered models that drive product innovation and business intelligence. This role involves analysing complex financial datasets, building machine learning models, and collaborating with engineers to deploy scalable AI solutions.

Key Responsibilities:

• Design and implement machine learning models for financial data analytics
• Develop predictive analytics solutions to enhance business decision-making
• Work with Python, SQL, and cloud-based ML tools (AWS, GCP, Azure)
• Optimise and deploy models in production-scale financial applications
• Apply NLP, deep learning, anomaly detection, and time-series forecasting
• Collaborate with cross-functional teams to translate data insights into product innovations

Requirements:

• 5+ years of experience in Data Science or Machine Learning
• Strong expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
• Proficiency in SQL and experience working with large-scale datasets
• Experience with big data technologies (Spark, Databricks)
• Ability to develop and deploy AI models in cloud environments (AWS, GCP, Azure)
• Strong analytical skills with a focus on business impact

What’s on Offer:

• Competitive salary and equity options
• Flexible and remote-friendly work environment
• Exposure to cutting-edge AI and ML applications in FinTech
• Opportunity to lead and shape the company’s data science strategy

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries: Financial Services and Data Infrastructure and Analytics