IT Trainee - Data Science

Descrizione del lavoro:

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include:

* Learn Data Analysis Techniques: Observe and learn data preparation, analysis, and predictive modeling methods to forecast trends and suggest optimizations for improved business outcomes. You will explore various data types and structures, ensuring data-driven decision-making and business optimization.
* Explore Data Manipulation Tools: Engage with data manipulation using tools such as Pandas, NumPy, and Dask, and assist with data visualization with Matplotlib, Seaborn, and Plotly.
* Assist in Scripting and Database Management: Participate in scripting abilities in shell scripting and contribute to managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL.
* Discover Machine Learning and Statistical Modeling: Learn about machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.
* Familiarize with Optimization Tools: Learn optimization skills with tools like IBM CPLEX and Gurobi, and understand statistical analysis capabilities with SPSS, SAS, R, and Python.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

* Basic Understanding of Data Analysis: Exposure to data preparation, analysis, and predictive modeling concepts to forecast trends and suggest optimizations for improved business outcomes.
* Familiarity with Data Manipulation Tools: Interest in data manipulation using tools such as Pandas, NumPy, and Dask, and curiosity about data visualization with Matplotlib, Seaborn, and Plotly.
* Exposure to Scripting and Database Management: Basic understanding of scripting abilities in shell scripting and familiarity with managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL.
* Awareness of Machine Learning and Statistical Modeling: Curiosity about machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.
* Introduction to Optimization Tools: Exposure to optimization skills with tools like IBM CPLEX and Gurobi, and basic understanding of statistical analysis capabilities with SPSS, SAS, R, and Python.

Preferred Technical And Professional Experience

No preferred qualifications specified