Lead Data Science

Job Description

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Role Highlights Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team Designing data science solutions end to end with appropriate time estimations and resourcing Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL. Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting. Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment What You'll Tackle Each Day: Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous Ability to work and process large amounts of data/experience working with cloud environments Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential Experience with proposal submissions and business development initiatives under the direction of the Leadership team Experience in designing data science solutions from concept through to evaluation and monitoring models in production. Experience in managing teams or supporting team development Prompt engineering knowledge, with familiarity in different strategies. Exposure to various prompt engineering techniques in different scenarios