Welcome to Barclays, where we strive to be the leading global bank. As an AVP, Data Scientist, you will play a critical role in driving data-driven decision making and innovation within our organization. We are seeking a highly skilled and motivated individual with a passion for data and a strong background in statistical analysis and machine learning. As a member of our team, you will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals to solve complex business problems. If you are looking for a challenging and rewarding career in the world of data science, we invite you to join our dynamic team at Barclays.
- Develop and implement data-driven solutions to support business objectives.
- Conduct statistical analysis and apply machine learning techniques to identify trends and patterns in large datasets.
- Collaborate with cross-functional teams to understand business needs and develop data-driven strategies.
- Utilize cutting-edge technology to collect, process, and analyze large amounts of data.
- Identify and communicate key insights and recommendations to stakeholders and senior management.
- Stay up-to-date with industry trends and advancements in data science to continuously improve our processes and techniques.
- Design and maintain data models and algorithms to support business decision making.
- Collaborate with other data scientists to develop and maintain a centralized repository of data and analytical tools.
- Ensure data accuracy, completeness, and integrity by implementing data quality control measures.
- Act as a subject matter expert in data science and provide guidance and support to junior team members.
- Participate in the development and implementation of data governance policies and procedures.
- Proactively identify and propose new opportunities for using data to drive business growth and efficiency.
- Maintain a high level of confidentiality and adhere to data security policies and procedures.
- Represent the data science team in cross-functional meetings and presentations to share insights and results.
- Continuously seek ways to improve processes and increase efficiency within the data science team.
Advanced Degree In Data Science Or Related Field: A Successful Candidate For The Avp, Data Scientist Position At Barclays Should Possess An Advanced Degree In Data Science, Analytics, Statistics, Or A Related Field. This Qualification Demonstrates A Strong Foundation In Data Analysis And Interpretation, As Well As The Technical Skills Necessary For The Role.
Extensive Experience In Data Manipulation And Modeling: The Avp, Data Scientist Role At Barclays Requires A Deep Understanding Of Data Manipulation Techniques And Advanced Statistical Modeling. The Ideal Candidate Should Have A Minimum Of 5 Years Of Experience Working With Large Datasets, Conducting Data Analysis, And Building Predictive Models.
Proficiency In Programming Languages And Tools: Strong Proficiency In Programming Languages Such As Python, R, And Sql Is Essential For The Avp, Data Scientist Role At Barclays. Candidates Should Also Have Experience Working With Data Visualization Tools And Machine Learning Libraries. This Qualification Demonstrates The Ability To Work With Complex Data Sets And Derive Insights From Them.
Strong Business Acumen And Communication Skills: In Addition To Technical Skills, The Avp, Data Scientist Should Also Possess Strong Business Acumen And Communication Skills. This Includes The Ability To Understand And Articulate Business Requirements, As Well As Effectively Communicate Complex Data Findings To Non-Technical Stakeholders.
Experience In The Financial Services Industry: While Not A Requirement, Experience In The Financial Services Industry Is Highly Desirable For The Avp, Data Scientist Role At Barclays. This Includes A Solid Understanding Of Financial Products, Markets, And Regulations, As Well As Experience Working With Financial Data And Systems. This Qualification Demonstrates A Strong Understanding Of The Industry And Its Unique Data Challenges.
Risk Management
Financial Analysis
Quantitative Research
Project Management
Programming
Data Analysis
Communication
Database Management
Machine Learning
Data Visualization
Statistical modeling
Predictive analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AVP, Data Scientist in New York, NY, USA is $170,000-$220,000 per year. This salary range can vary depending on factors such as the specific industry, company size, and level of experience. Additionally, bonuses and benefits may also be included in the overall compensation package.
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Barclays plc is a British multinational investment bank and financial services company, headquartered in London. Apart from investment banking, Barclays is organised into four core businesses: personal banking, corporate banking, wealth management, and investment management.
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