Join our global HR Data and Analytics team, where we focus on workforce data strategy, analytics, AI/ML solutions, and data governance. This role offers the chance to influence key decisions and work on high-visibility projects across the firm. You'll have the opportunity to make a significant impact at a leading financial services firm by developing data-centric solutions that promote business outcomes.

As an Applied AI/ML Senior Associate within HR Data and Analytics, you are an team member contributor who should be able to apply quantitative, data science and analytical skills to complex problems. You’re able to work across teams to design, develop, and evaluate and execute against those data science and analytical solutions with a keen functional understanding of the business problem. You will be responsible for data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions.

Job responsibilities

Engaging with stakeholders and understanding business requirements, Developing AI/ML solutions to address impactful business needs, Working with other team members to productionise end-to-end AI/ML solutions, Engaging in research and development of innovative relevant solutions, Documenting developed AI/ML models to stakeholders Coaching other AI/ML team members towards both personal and professional success, Collaborating with other teams across the firm to attain the mission and vision of the team and the firm

Required qualifications, capabilities, and skills  

Advanced degree in analytical field (e.g., Data Science, Computer Science,  Engineering,  Applied Mathematics, Statistics, Data Analysis,  Operations Research) Experience in the application of AI/ML to a relevant field, Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.  Strong experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. Previous experience in working on Spark, Hive, and SQL,

Preferred qualifications, capabilities, and skills

Financial service background PhD in one of the above disciplines