We are looking for a Lead Data Scientist to work on creation, development and implementation of data science solutions tackling complex business challenges in the investment sector.
Responsibilities:
Contribute to both business and technology strategies concerning artificial intelligence (AI).
Utilize advanced data science, machine learning, and AI techniques, including NLP, computer vision, deep learning, reinforcement learning, optimization, and simulation
Develop and sustain data pipelines, models, and products that support data science initiatives
Perform data analysis, exploration, visualization, and storytelling to present findings and recommendations to stakeholders
Investigate and assess new technologies, tools, and frameworks in data science, machine learning, and AI for their relevance and feasibility in the investment domain.
Mentor and guide junior data scientists and analysts
Skills and experience:
Master’s degree or PhD with specialization in data science, machine learning, or artificial intelligence.
At least 10 years of relevant experience and deep expertise in data science, machine learning, or artificial intelligence,
Extensive experience in developing and managing data pipelines, models, and products that support data science solutions
Advanced skills in data analysis, exploration, visualization, and storytelling
Proficient in Python, R, SQL, Spark, TensorFlow, PyTorch, and Scikit-learn for data science, machine learning, and AI.
Experience in the investment sector is strongly preferred