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:
ROMADisponibilità:
Assunzione direttaTipologia:
Full TimeData pubblicazione:
10/03/2022Codice annuncio:
400333Visualizzazioni annuncio:
792Nome filiale:
686 MP PERM CONS CENTRO SUDNumero 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
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
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
