Tech Mahindra

Consultor Senior - Data Scientist

Job description

Quem Somos?

Somos a Tech Mahindra, empresa do GrupoMahindra, uma multinacional Indiana e está presente no Brasil e em +90 países. Somos mais de 120.000 profissionais que nos ajudam a conectar experiências.

A Tech Mahindra representa o mundo conectado, oferecendo experiências de tecnologia da informação inovadoras e centradas no cliente, permitindo que empresas, colaboradores e a sociedade cresçam.

Nós realmente acreditamos que a tecnologia torna isso possível, mas são as pessoas que fazem isso acontecer. Diversidade Cultural, de Gênero e de Habilidades se alinham nos nossos pilares do Rise e nos permite Diversidade de Pensamentos, que capacita nossos stakeholders a crescer.


DA Studies Data Scientist (Vendor)

Key tasks:

  • Perform requirements analysis of assigned projects to ensure correct mapping of requirements to solution design;
  • Perform data science solution development including:
    • Performing exploratory data analysis;
    • Performing statistical data modeling;
    • Building descriptive/predictive/prescriptive models;
    • Performing experimentation with testing & validation;
    • Performing model optimization.


  • Deliver high quality solutions to meet project requirements using state-of-the-art DA/DS/ML/AI techniques;
  • Implement solution using agile sprints;
  • Collaborate with business and technical stakeholders to deliver projects;
  • Implement appropriate visualization artefacts to demonstrate solution performance for project stakeholders;
  • Communicate project outcomes with project stakeholders through presentations & reports;

Skills & Experience:

  • Knowledge about mining value chain is a strong plus;
  • Previous experience of working on DS problems in mining (e.g. mineral processing) or a related field (e.g. industrial asset and/or process optimization) is preferred;
  • Hands on experience in ML/AI/analytics implementation;
  • Industry Analytics/ML/AI project delivery experience using Agile methods;
  • Experience in building production DS solutions including API deployment using Cloud;
  • Working directly with business stakeholders, data engineers, solutions architects and product managers in creating robust solutions;
  • Current knowledge about ML algorithms, libraries and frameworks (should be demonstrable via coding test);
  • Effective verbal and written communication;

Education & Qualifications:

  • PhD or Masters in Computer Science and/or a mining related discipline;
  • Demonstrated continuous learning in ML / Data Science through formal training/certification;
  • ML Ops/ AI Ops related formal qualification and/or equivalent experience is a plus;

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