Data Science Analyst

Azienda

A leading Pan-European financial services provider specialising in the purchasing and management of non-performing and performing loan.

Descrizione

Role purpose:
Demonstrating an innovative approach in the development of statistical models to support Collections Strategies. Using a variety of Machine learning techniques, you will be required to understand the business problem, deliver a solution and present to senior stakeholders.

Key Responsibilities:
•    Development of statistical models, (predictive and descriptive) using internal and external data to support customer contact activity and collections strategy decision. 
•    Development of Modelling infrastructure; which includes modelling datasets, model scoring and model monitoring
•    Analyse data to  produce, evaluate, interpret and analyse a range of statistical and written information in order to support recommendations that will have a positive impact on policy and strategy
•    Develop strong relationships with stakeholders to gather and build modelling requirements and to build confidence and trust in model solutions
•    Provide strategic and analytical support before, during and after model implementation
•    Support the identification of value adding opportunities, through proactive analytics into any variances in performance and identify underlying causes. 
•    Contribute to the continuous improvement of approaches to modelling techniques and data structures
 

Requisiti

Experience, Knowledge & Technical Skills 
•    Minimum 3 years’ experience in a Data Science Role.
•    Proficient in developing models using techniques such as Logistic Regression, Linear Regression, CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Discriminant Analysis, Bayesian Algorithms, Neural Networks, SVM, MARS.
•    Experienced in the use of Business Intelligence, Analytical and Statistical packages (e.g.  SQL, SAS,  R-Studio, Python, Azure ML)
•    Excellent communication, interpersonal and listening skills. For analysts based outside of the UK, ability to communicate in English to a high standard is essential
•    Ability to present complex and detailed data in a simple to understand and innovative way
•    A high level of customer focus with a proven record of delivering high standards of customer/seller service and experience
•    Ability to work independently, pro-actively, multi-task (organised) and deliver. 
•    Also able to work in teams, mediating between team members to diminish negative effects on team productivity and work environment
•    Basic understanding of key commercial aspects of debt management 
•    Degree in a Mathematics/Statistics related subject

Luogo di lavoro:

ROMA

Disponibilità:

Assunzione diretta

Tipologia:

Full Time

Data pubblicazione:

10/03/2022

Codice annuncio:

400333

Visualizzazioni annuncio:

792

Nome filiale:

686 MP PERM CONS CENTRO SUD

Numero di candidati ricercati:

1
NOTE LEGALI:
Manpower è una compagnia eticamente responsabile. Il servizio è gratuito. I candidati ambosessi (L.903/77 - D.Lgs. n.198/2006) sono invitati a leggere l'informativa Privacy su www.manpower.it Aut. Min. Prot. N. 1116 - SG - del 26/11/04.
Il titolare della registrazione e/o candidatura dichiara di essere a conoscenza delle sanzioni penali previste in caso di dichiarazioni mendaci o contenenti dati non più rispondenti a verità come previsto dal D.P.R. nº445 del 28.12.2000

Data Science Analyst

ROMA
Assunzione diretta
Full Time
10/03/2022
400333
792
686 MP PERM CONS CENTRO SUD
1

Azienda

A leading Pan-European financial services provider specialising in the purchasing and management of non-performing and performing loan.

Descrizione

Role purpose:
Demonstrating an innovative approach in the development of statistical models to support Collections Strategies. Using a variety of Machine learning techniques, you will be required to understand the business problem, deliver a solution and present to senior stakeholders.

Key Responsibilities:
•    Development of statistical models, (predictive and descriptive) using internal and external data to support customer contact activity and collections strategy decision. 
•    Development of Modelling infrastructure; which includes modelling datasets, model scoring and model monitoring
•    Analyse data to  produce, evaluate, interpret and analyse a range of statistical and written information in order to support recommendations that will have a positive impact on policy and strategy
•    Develop strong relationships with stakeholders to gather and build modelling requirements and to build confidence and trust in model solutions
•    Provide strategic and analytical support before, during and after model implementation
•    Support the identification of value adding opportunities, through proactive analytics into any variances in performance and identify underlying causes. 
•    Contribute to the continuous improvement of approaches to modelling techniques and data structures
 

Requisiti

Experience, Knowledge & Technical Skills 
•    Minimum 3 years’ experience in a Data Science Role.
•    Proficient in developing models using techniques such as Logistic Regression, Linear Regression, CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Discriminant Analysis, Bayesian Algorithms, Neural Networks, SVM, MARS.
•    Experienced in the use of Business Intelligence, Analytical and Statistical packages (e.g.  SQL, SAS,  R-Studio, Python, Azure ML)
•    Excellent communication, interpersonal and listening skills. For analysts based outside of the UK, ability to communicate in English to a high standard is essential
•    Ability to present complex and detailed data in a simple to understand and innovative way
•    A high level of customer focus with a proven record of delivering high standards of customer/seller service and experience
•    Ability to work independently, pro-actively, multi-task (organised) and deliver. 
•    Also able to work in teams, mediating between team members to diminish negative effects on team productivity and work environment
•    Basic understanding of key commercial aspects of debt management 
•    Degree in a Mathematics/Statistics related subject
NOTE LEGALI:
Manpower è una compagnia eticamente responsabile. Il servizio è gratuito. I candidati ambosessi (L.903/77 - D.Lgs. n.198/2006) sono invitati a leggere l'informativa Privacy su www.manpower.it Aut. Min. Prot. N. 1116 - SG - del 26/11/04.
Il titolare della registrazione e/o candidatura dichiara di essere a conoscenza delle sanzioni penali previste in caso di dichiarazioni mendaci o contenenti dati non più rispondenti a verità come previsto dal D.P.R. nº445 del 28.12.2000