What you will do:As a Data Science Lead, you will be working on creating industry first analytical and propensity models tohelp discover the information hidden in vast amounts of data, and make smarter decisions to delivereven better customer experience. Your primary focus will be in applying data mining techniques, doingstatistical analysis, and building high quality prediction systems integrated with our products.➢ Working with business and leadership teams to gathering and analyse structured and unstructured data➢ Data mining using state-of-the-art methods➢ Enhancing data collection procedures to include information that is relevant for building analyticsystems➢ Processing, cleansing, and verifying the integrity of data used for analysis➢ Doing ad-hoc analysis and presenting results in a clear manner➢ Creating automated anomaly detection systems and constant tracking of its performance➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support variousmodelling needs.What we are looking for:➢ 5-8 years of relevant experience, preferably in financial services industry.➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science orManagement from Tier 1 Institutes.➢ Data warehousing experience will be a plus.➢ Good conceptual understanding of statistics and probability.➢ Experience in developing dashboards and reports using BI tools.
• Act as a lead analyst on various data analytics projects aiding strategic decision making for Fortune 500 / FTSE 100 companies, Blue Chip Consulting Firms and Global Financial Services companies • Understand the client objectives, and work with the PL to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints • Collect/Organize/Prepare/Manage data for the analysis and conduct quality checks • Use and implement basic and advanced statistical techniques like frequencies, cross-tabs, correlation, Regression, Decision Trees, Cluster Analysis, etc. to identify key actionable insights from the data • Develop complete sections of final client report in Power Point. Identify trends and evaluate insights in terms of logic and reasoning, and be able to succinctly present them in terms of an executive summary/taglines • Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to analysts to ensure an error free output • Aid in decision making related to client management, and also be able to take client calls relatively independently • Support the project leads in managing small teams of 2-3 analysts, independently set targets and communicate to team members • Discuss queries/certain sections of deliverable report over client calls or video conferences Technical Skills: • Hands on experience of one or more statistical tools such as SAS, R and Python • Working knowledge or experience in using SQL Server (or other RDBMS tools) would be an advantage Work Experience: • 2-4 years of relevant experience in Marketing Analytics / MR. • Experience in managing, cleaning and analysis of large datasets using statistical packages like SAS, R, Python, etc. • Experience in data management using SQL queries on tools like Access/ SQL Server
• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: email@example.com