Consultant

Job description

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please apply... Job Details Job Title:Data ScienceConsultant Job Location: Bengaluru Kantar is a data and evidence based advisory business providing information and recommendations to clients, worldwide. We help clientsunderstand people and inspire growth.The world’s leading, tech enabled marketing data and analytics company.Our insights, foresight and advice are embedded within our clients’ processes and at the heart of their decisions. We do not just helpclients understand what has happened, we explain why and how they can shape the future Kantar Analytics PracticeKantar's Analytics practice creates leading-edge offers focused on Brand Analytics, Consulting, Data Strategy & Engineering, CustomerAnalytics, Media and Innovations in a way that is unmatched by our competitors. The convergence of unique human understanding andbusiness expertise, coupled with innovative data and technology solutions, allows us to better predict consumer behavior, providingcustomers the confidence to make bold and complex decisions and optimize priorities for growth Job Overview:We are seeking an experienced and dynamic Data Science Consultant to join our esteemed team. The ideal candidate will liaise with clientsto present insights and recommendations that are both strategic and tactical. This role requires a keen ability to transform data intoactionable insights, excellent communication skills, and the ability to narrate compelling data stories. The candidate should be very wellversedand have hands-on experience with data science capabilities, both theoretically and technically. Key Responsibilities❑ Data Analysis and Interpretation: Analyzing complex datasets to extract meaningful insights and trends.❑ Model Development: Building and refining predictive models using machine learning algorithms.❑ Data Cleaning and Preprocessing: Ensuring data quality by cleaning and preprocessing raw data.❑ Collaboration: Working closely with cross-functional teams, including engineers, product managers, and business analysts, to understandrequirements and deliver data-driven solutions.❑ Reporting and Visualization: Creating reports and visualizations to communicate findings to stakeholders.❑ Communication: Present findings and recommendations to CS and/or clients in a clear, concise, and impactful manner.❑ Insights and Recommendation: Provide strategic and tactical recommendations to clients based on data insights.❑ Research and Innovation: Staying updated with the latest industry trends and technologies to improve existing models and processes.❑ Mentorship: Guiding junior data scientists and providing technical support. Key Qualities❑ Analytical Thinking: Ability to break down complex problems and analyze data to find solutions.❑ Technical Proficiency: Strong skills in programming languages like Python or R, and familiarity with machine learning frameworks.❑ Attention to Detail: Precision in data analysis and model development to ensure accuracy.❑ Communication Skills: Ability to clearly convey technical information to non-technical stakeholders.❑ Curiosity and Innovation: A drive to explore new techniques and technologies to improve data processes.❑ Problem-Solving: Aptitude for identifying issues and developing effective solutions.❑ Team Collaboration: Working well with others and contributing to team goals.❑ Adaptability: Flexibility to handle changing project requirements and new challenges.Qualifications❑ Proven experience of 3 to 5 years in a data science or related rolewith hands-on experience with data analysis, model development, and deployment.❑ Proficiency in Python, R, SQL, and other relevant languages.❑ Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).❑ Has a bachelor’s degree in a related field (e.g., Business, Economics, Statistics, Computer Science).❑ Adept in presentation and communication skills.  We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drivestheir decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongsi