Analytics Lead / Analytics Manager

Analytics Lead / Analytics Manager

Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics.

In a nutshell:

An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.

The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects.

What will you do

Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.

Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.

Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.

Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.

Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.

Contribute analytical thought leadership to assist on Business Development proposals.

What are we looking for

6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions

Strong communication skills

Experience in managing global analytics teams in multiple locations is preferred

Track record of analytical product development, innovation, or research (patents or publications) would be a plus

Data science expertise -

Python / R programming

Have worked on semi-supervised problems

Worked on NLP unstructured data / semi structured data

Have prior experience in pre-trained models, like BERT, Glove,

Worked on Neural Network, with experience in Tensor Flow, PyTorch

Model development using RNN, CNN, LSTM

Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc

Experience in unsupervised learning and optimisation

Experience in model performance tuning

Experience in Model governance and deployment

Good to have experience

Financial services or Healthcare industry experience will be a plus

Experience in UiPath AI Fabric

Worked on Cloud AWS

Experience in bigdata hadoop

PySpark exposure

Exposure to Transfer learning