2023- Data Engineer

Full-timeMumbai

Job Description

Title: Data Scientist (Data science having extensive experience in Al/ML)

Number of Experience: 3-10 years

Job Location: Bangalore

 Who we are:

 As a global consulting partnership in more than 40 countries, our people make us who we are. We’re individuals with different passions and strengths who take as much joy in the work we do as from those we work with.

 Kearney’s Digital Solutions Factory [SOFAC] is a rapidly growing engineering team that is building the next generation of solutions for our clients. As a part of this team, you will:

·       Develop cutting-edge, cloud native digital products and solutions, powered by advanced analytics

·       Learn from seasoned thought leaders and domain experts

·       Partner with our global consultants across industries that drive strategy definition to create value for our clients in ever changing market conditions

·       Collaborate with leading system integrators and cloud providers in a variety of delivery models to define, standardize and mature product delivery life cycle

 

Role :

  • Utilize AI/ML techniques to analyze large datasets and derive actionable insights.
  • Develop and deploy machine learning models for predictive analysis and decision support.
  • Collaborate with teams to implement data-driven solutions and drive business growth.

 Responsibilities:

  • Develop and deploy machine learning models and algorithms to solve complex business problems.
  • Perform data exploration, preprocessing, and feature engineering to extract insights from large datasets.
  • Collaborate with cross-functional teams to understand business requirements and deliver actionable solutions.
  • Apply statistical analysis and hypothesis testing to validate and refine models.
  • Stay updated with the latest advancements in AI/ML technologies and contribute to research and innovation.

Qualifications:

  • Bachelor's or master's degree in Data Science, Computer Science, or a related field.
  • Strong programming skills in Python, R, or another relevant language.
  • Proficiency in machine learning algorithms and techniques.
  • Experience with data preprocessing and feature engineering.
  • Familiarity with popular machine learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of statistical analysis and experimental design.
  • Excellent problem-solving and analytical thinking skills.
  • Strong communication and presentation abilities.

 

Language Requirements

NA