Job involves driving business results with your data-based insights
work closely with a multi-disciplinary team specializing in science, engineering and statistics fields and a global client to translate the latest science and technology into industry solutions
The successful candidate will be responsible to help us extract value from our data by developing models and solutions to help risk assessment from a variety of global perils
You will lead all the processes from data collection, cleaning, and pre-processing, to training models and deploying them to production
Use analytical rigor and statistical methods, programming, data modelling, simulation, and advanced mathematics to analyse large amounts of data, recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries
Identify/develop appropriate machine learning/data mining/text mining techniques to enable better business outcomes
Work in close collaboration with clients / teams specializing in science, engineering and statistics disciplines
Bring all your experience to the team, from the day 1, to ensure our business stays ahead of the industry
Break apart problems scientifically, providing insight into your recommendations and findings to both technical and non-technical partners
Document projects including business objective, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
What You'll Bring To The Team
You have 3-5 years of working experience in analytics, data mining, and/or predictive modelling, and data interpretation
Advanced degree in Machine Learning, Computer Science, Engineering, Physics, Statistics, Applied Math, or other quantitative fields
Proven track record in modifying and applying advanced algorithms to practical problems
Confident interacting with business peers to understand and identify use case, with a strong ability to
articulate solutions and present them to business partners
Strong coding skills in one of the following: Python, R, Spark, or equivalent
Knowledge of NLP/Text mining techniques and related open source tools
Hands-on experience implementing machine learning and data analytics solutions
Outstanding collaboration and communication skills Ability to effectively collaborate with distributed
team, or with different kind of stakeholders like business teams, product teams
Good to have understanding of Geospatial Datasets and processing
Enthusiasm to understand business acumen / domain knowledge / processes
