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Data Scientist, AVP

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Data Scientists build and maintain data systems. They construct datasets that are easy to analyze and support company requirements. Data Scientists are tasked with managing and organizing data, while also keeping an eye out for trends or inconsistencies that will impact business goals. It’s a highly technical position, requiring experience and skills in areas like programming, mathematics and computer science. But Data Scientists also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects.

JOB DESCRIPTION

Data Scientists build and maintain data systems. They construct datasets that are easy to analyze and support company requirements.

Data Scientists are tasked with managing and organizing data, while also keeping an eye out for trends or inconsistencies that will impact business goals. It’s a highly technical position, requiring experience and skills in areas like programming, mathematics and computer science. But Data Scientists also need soft skills to communicate data trends to others in the organization and to help the business make use of the data it collects.

Role Overview

The Experience Reporting & Analytics Team (ERA) will deliver a step change in proactive data management and analytics across End User Computing. Supporting the definition and control of End User Data Architecture together with automated reporting, self-service data provisioning and predictive analysis will establish ERA as the consulting partner of choice across EUC (End User Computing).

 

What we’ll offer you

Please be aware there are regional differences to DB benefits and you will need to check the correct package per advert. 

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

  • Best in class leave policy
  • Gender neutral parental leaves
  • 100% reimbursement under child care assistance benefit (gender neutral)
  • Flexible working arrangements
  • Sponsorship for Industry relevant certifications and education
  • Employee Assistance Program for you and your family members
  • Comprehensive Hospitalization Insurance for you and your dependents
  • Accident and Term life Insurance
  • Complementary Health screening for 35 yrs. and above

 

Your key responsibilities

ERA’s tools and reports will be integrated into the daily work of our partners, delivered through the following workstream pillars:

  • BAU Operations - standard reporting, new requests, user admin and support, data analytics and User Experience Dashboard.
  • Service Transformation – bespoke analytical projects (e.g., Systrack, Service Desk Contact Reductions).
  • Self-Service Automation – dashboard development and maintenance, user training and support, report automation.
  • Internal Op Model – agile new demand and WIP processes (Kanban), benefits realization and team capabilities
  • Innovation – tooling, capabilities, and scope.

 

Your skills and experience

  • Previous experience as a Data Scientist or in a similar role
  • Overall experience += 12.5 Yrs
  • Build data systems and pipelines
  • Analyze and organize raw data
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

 

Technical Knowledge

  • Technical expertise with data models, text/data mining, and segmentation & classification techniques
  • Knowledge of MS Power platform
  • Knowledge of programming languages (e.g., Java, Python, DAX, M)
  • Knowledge of API (Application Program Integration) development/testing (Must)
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills
  • Degree in Computer Science, IT, or similar field; is a plus
  • Data Scientist certification
  • Interpret data, analyse results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Filter and “clean” unstructured data & seek pattern to improve user experience

 

How we’ll support you

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs

 

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

 

Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.

Set alert for similar jobsData Scientist, AVP role in Pune, India
Deutsche Bank Logo

Company

Deutsche Bank

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

13-17 years

Category

Data Science

Locations

Pune, Maharashtra, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

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