Sme Data Scientist

**Use predictive modelling to increase and optimize power generation, price, cost savings,**
**customer experiences and other business outcomes**
**Experience in statistical modelling, machine learning, probability theory, algorithms. data**
**mining, unstructured data analytics and natural language processing**
**Expertise in machine learning techniques such as Clustering, Regression, Bayesian**
**methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality**
**reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate**
**Statistics, K-NN, Naïve Bayes etc.**
**Working knowledge of popular Deep Learning architectures and theory, simulation,**
**scenario analysis, constraint optimization, anomaly detection, semi-supervised machine**
**learning, unsupervised learning algorithms using deep learning etc.**
**Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim.**
**Annealing, MC Simulation)**
**Experience in one of the upcoming technologies like deep learning, NLP, NLG, image**
**processing, recommender systems, chatbot, voice AI, video AI etc.**
**Experience of working on end-to-end data science pipeline: problem scoping, data**
**discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous**
**improvement, maintenance, and business value/impact tracking.**
**techniques to drive required outcomes.**
**You will be required to discuss and use various algorithms and approaches daily.**
**Leading the entire software lifecycle including hands-on development, code reviews,**
**testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred.**
**Develop reusable/scalable assets and accelerators. Implement ML best practices.**
**Work directly with our internal technical teams to ensure that our solutions are seamlessly**
**and effectively integrated**

**Analyse the market and industry trends in the technology and proactively look for**
**opportunities in proposing the best solutions. Proactively research on upcoming ML**
**techniques and best practices.**
**Responsible for coding, testing, debugging, evaluating solution/ technology options**
**We’re excited if you have**:
**6 -10 years of hands-on experience in data science and AI/ML**
**Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in**
**Statistics/Economics/Business Analytics**
**Ability to interpret complex business requirements and translating them into analytical**
**problems to deliver high value outputs**
**Experience in Data science work bench in Cloud platforms**
**Hands-on experience in Python, NLP, Kafka, Spark/Pyspark, Scala, Airflow, Microservices,**
**REST API. Elastic search, PostgreSQL, Power BI,**
**Strong knowledge on Python, NLP, Google, and Cloud libraries/packages**
**Experience in text, image, video analytics**
**Awareness of Data structures - RDBMS, NoSQL and columnar databases.**
**Experience with configuration management and version control apps (ie: GIT) and**
**experience working within a CI/CD framework is a plus. An even bigger plus if you have**
**experience in Agile, SCRUM and MLOps.**
**Experience with Cloud technologies and architecture is a plus**
**Experience in managing multiple projects and stakeholders with excellent communication**
**and interpersonal skills**
**Ability to develop and organize high-quality documentation**
**Superior analytical skills and a strong sense of ownership in your work**
**Ability to thrive in a fast-paced environment, and to manage multiple, competing priorities**
**simultaneously**
**Experience in Client expectation Management, Project Scoping, Delivery, Project**
**Management, Risk management and Value Tracking**
**Prior Energy & Utilities industry experience is a big plus.