Financial Risk Management | Data u0026 Analytics Senior Consultant

Global ATS - Italian; Milano; In loco; EUR 45.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading company in the banking-insurance sector seeks a Senior Data Scientist Consultant in Milan. You will leverage advanced statistical methods and machine learning to analyze large datasets, drive client engagements, and contribute to strategic projects. Ideal candidates should possess a Master’s or PhD in relevant fields and exhibit strong programming and analytical skills.

Competenze

• Proven experience as a Data Scientist, with participation in Advanced Data Analysis challenges.
• Experience with big data tools and cloud environments.
• Strong proficiency in programming languages and data science tools.

Mansioni

• Analyze and model structured data using advanced statistical methods.
• Build recommendation engines and classifiers for large datasets.
• Drive client engagements focused on Big Data and Advanced Business Analytics.

Conoscenze

Data Analysis

Machine Learning

Statistical Modeling

Data Mining

Cognitive Computing

Cloud Computing

Big Data Infrastructure

Data Structures

Software Development

Command-line Scripting

Programming (Java, Python, SCALA, Ruby)

Formazione

Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research

Strumenti

R

SAS

Python

Knime

Spark

Matlab

Hadoop

Storm

SQL

Solr

Descrizione del lavoro

Your solid skills will be highly valued and will place you at the centre of a first-class environment, where you will be able to contribute first hand to the success of our clients and to your own professional growth.

Through challenging projects you will gain a deep and specialized experience across all aspects of banking-insurance industry.

For solid and strategic projects, we are looking for Data Scientist Senior Consultants to join our Advanced Data and Analytics team in Milan.

You will be responsible for :

• Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
• Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data
• Cluster large amount of user generated content and process data in large-scale environments using Hadoop and Spark
• Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
• Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicate results and educate others through reports and presentations
• Perform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns

To be the successful candidate, you will have :

• Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields
• Proven experience as a Data Scientist, with partecipation to Advanced Data Analysis challenges
• Experience with command-line scripting, data structures and algorithms, processing large amounts of data in a cloud environment
• Knowledge of data extraction and processing, using MapReduce, Pig, and / or Hive preferred
• Knowledge of programming languages ( Java, Python, SCALA, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing and databases such as Hadoop, Storm, SQL and Solr
• Strong knowledge in at least one of the following fields : machine learning, statistical modeling, data mining, or cognitive computing
• Proficiency in analytics and Data Science tools ( R, SAS, Phyton, Knime, Spark, Matlab) and packages
• Proficiency in English, ideally improved through an educational / working experience abroad
• Willingness to work side by side with clients according to project needs.

You are a problem solver, who never loses his / her focus, can easily build strong relationships and fosters collaboration. You are able to inspire confidence in our clients and empower change through high motivation and enthusiasm. You are challenged by dynamic and evolving working environments, where your leadership skills are highly appreciated.

Businesses are demanding a broad mix of Advisory Services as they seek to address the myriad of challenges and opportunities presented by a persistently volatile and complex economic environment. Our Advisory experts work across the corporate health spectrum covering areas as diverse as profitability, transformation, technology, risk, growth, structure and operations.

Required data will be managed in compliance with the European legislative Decree no. 679 / 2016 (General Data Protection Regulation - "GDPR") and later modifications or integrations.

KPMG Advisory is an equal opportunities employer.