• Established global MNC within the energy sector
• Diverse, forward thinking, and high performing team
• Work on cutting edge technologies and advanced data science solutions

Responsibilities

• Working on core data science projects ranging from prediction to regression and operational research
• Application of a multitude of techniques such as deep learning, reinforcement learning, machine learning, natural language processing, and operational research to solve real world problems
• Applying advanced statistical methods and work with large, complex data sets.
• Working closely with operational teams across the business on deployment, monitoring, and management
• Designing optimized and controlled models in order to solve complex problems
• Understanding the business and clients’ needs and goals to turn business problems into machine learning problems

Requirements

• Minimum three (3) years of professional working experience
• Proficient in Python, Java, C++
• Strong background in computer programming
• Deep knowledge of Machine Learning algorithms such as:
• Regression Prediction based – Linear Regression / Random Forest / Gradient Boosting Regression / Support Vector Regression
• Time Series Analysis
• Clustering and Classification algorithms
• Feature engineering
• Strong understanding of Deep Learning programming frameworks and architecture such as: Tensorflow / Keras / Torch / Caffe / CNN etc.
• Significant experience with Operations Research algorithms and libraries such as: Gurobi / Coin-OR / Cplex / GNU Linear Programming Kit
• Excellent problem solving, critical thinking, and communication skills

Reaching out