Job Opportunity: Data Scientist in Bangalore, India

Company: Deutsche Bank

Job Title: KYC - Data Analytics

Role Description

As a Data Scientist at our Bangalore office, you will have a pivotal role in analyzing data, generating insightful reports, and delivering actionable insights to support our business goals. This position involves close collaboration with various teams, interpreting data, drawing conclusions, and effectively communicating findings to influence business decisions. Your expertise will drive data-driven strategies and solutions that contribute to the growth and success of our KYC operations.

What We Offer

Our flexible benefits scheme includes:

• Best in class leave policy
• Gender-neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender-neutral)
• 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 employees aged 35 and above

Your Key Responsibilities

• Conduct thorough data analysis of large and complex datasets, using statistical methods and techniques to identify trends, patterns, correlations, and anomalies.
• Apply advanced statistical techniques to develop meaningful insights, perform hypothesis testing, and make data-driven recommendations.
• Create clear and informative data visualizations and dashboards to convey insights to non-technical stakeholders.
• Ensure data quality and integrity by cleaning and preprocessing datasets for analysis.
• Design, develop, and implement predictive models and machine learning algorithms to solve business problems and improve decision-making.
• Generate regular and ad-hoc reports that provide key insights and recommendations to stakeholders.
• Collaborate with cross-functional teams, including business analysts, data engineers, and stakeholders, to understand data requirements and deliver meaningful results.
• Stay updated with the latest developments in data analysis techniques and tools to enhance analysis capabilities.

Your Skills and Experience

• Forward-thinker with a strong background in statistics and mathematics.
• Passionate about extracting and uncovering valuable insights from data and providing actionable solutions.
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Analytics, or a related discipline.
• Proven experience as a Data Analyst, with a focus on statistical analysis.
• Strong proficiency in statistical analysis tools and programming languages (e.g., Python, R).
• Exceptional analytical and problem-solving skills.
• Ability to interpret data and communicate findings effectively to both technical and non-technical audiences.
• Detail-oriented with a strong commitment to data accuracy.
• Self-motivated and able to work both independently and collaboratively.

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

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.

Discover more about the culture of Deutsche Bank, including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work, and more by visiting our .

We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people of 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.