Blue BI is a consulting firm entirely focused on Data & Analytics.
Since its inception, Blue BI has believed in the value of data and D&A strategies as drivers for digital transformation, currently one of the best opportunities to differentiate in the market and provide a competitive advantage to a company. Fully leveraging the potential of Data & Analytics can help organizations respond to change, keep pace with digitalization trends, and seize market opportunities, while C-level executives can leverage these transformations to accelerate the ability to anticipate, adapt, and meet business needs.
We are currently looking for Consultants to join our team in Milan.
Do you want to showcase your value and have fun?
We are looking to expand the team with colleagues who want to develop their careers in an innovative company that is attentive to trends in Data & Analytics, Business Analytics, and Data-Driven Solutions, working with over 70 top-tier clients in Italy and worldwide.
The open position is for the Advanced Analytics area: a department composed of specialist teams that promote excellence and develop Machine Learning and Artificial Intelligence models using various open technologies and market platforms.
What will you do
- Quantitative and qualitative analysis
- Data-centric value chain generation. Extraction of valuable information that supports decision making
- Technical leadership in the development of Advanced Analytics projects
- Leadership of small groups and specialized projects
- Support for business and value creation in Advanced Analytics and across the range of associated disciplines: Data Mining, Machine Learning, Predictive
- Modeling, Cognitive Computing, AI, NLP, etc.
- Research and development and continuous training
What we are looking for
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Statistics and / or similar
- At least 1 year experience in designing AI models: Decision Trees,
- Scoring, Clustering, pattern discovery, trends, regressions, Deep learning
- Business knowledge, quantitative-analytical method and technological knowledge
- Experience in Advanced Analytics on ecosystems and / or platforms including: Hadoop, Spark, R, Mahout, Impala, Python, Tensorflow, Knime, etc.
- Preferred experience in Advanced Analytics with Dataiku or SAS
- The knowledge and application of Data Science in various sectors and industries is appreciable: pharmaceutical, fashion-luxury, insurance, retail, etc.
- Passion for data and analysis; from Data Architecture to Visualization through BI, Data Mining, Machine Learning or Predictive Modeling
- Storytelling, ability to communicate and present effectively to Business, IT users, Analysts and Data Scientists
- Innovative spirit with balanced customer, business and technology orientation
- Interest in challenges, commitment, integrity, maturity, ability to work in a team and a sense of responsibility
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