Team Summary

Visa Consulting & Analytics (VCA) team is a key part of the Global Solutions organization, a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions.

Visa is looking for Data Science – Manager (Sr. Data Scientist), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery. 

What a Data Science – Manager (Sr. Data Scientist) does at Visa:

The Data Science – Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa’s Bangalore office.

The individual will be accountable for supporting and driving the design, development, and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.

• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations.

• Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques.

• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques, new data engineering pipeline development and management - fit for purpose to the needs of our clients

• Enhance existing analytic techniques by promoting new methodology and best practices in analytics.

• Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions.

• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

• Collaborate with cross-functional teams to build and automate re-usable and scalable solutions.

Why this is important to Visa:

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data engineers, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative, and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.

Role Requirements and Responsibilities:

In this role, you will be instrumental in a diverse range of projects, varying according to Visa's client needs and specifications. You will collaborate closely with VCA AP regional teams including market data science teams, the hub team in Singapore, and Visa's clients, to address their most pressing business challenges.

As part of the project team, you'll contribute to the design, development, and delivery of data analytics and data engineering solutions, alongside an array of stakeholders. This could involve developing new solutions, automating existing ones, and engaging in the long-term maintenance & delivery of client deliverables.

You'll take on the responsibility of liaising with market data science teams to understand their needs, analyze and develop the requirements. This could comprise building necessary data pipelines, designing local data warehouses/marts, and developing analytical/statistical reports and deliverables. Moreover, you'll cater to different data presentation techniques and automate processes for frequent or recurring deliveries, based on client requirements.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Job Description

Role Purpose:

Provide full-service management of key client accounts through marketing research information, analysis and reports and identify new opportunities for developing business in Customised Research.

Primary responsibility would include developing business, especially across key FMCG clients in West by reaching out to them, understanding their challenges, sharing NIQ solutions and evolving the brief along with the clients to win business

Other responsibilities would include developing and delivering the proposals to win the business and work with the Customer Success Team to deliver the findings presentations to the clients.

Accountabilities:

Accountable for success of the team by ensuring revenue target as well as team development

Client Management

• Provides advice and consultation to clients and staff
• Handles complicated client queries or complaints
• Develops strategic understanding of industry trends, competition and opportunities of Nielsen
• Demonstrated recognition by client as an “expert” related to research knowledge areas
• Presents results of study to the client’s top management
• Ensures the smooth collection of debt from clients

Project Management

• Designs and plans research projects following client briefing and needs
• Supervises all stages of project management and monitors performance by working with the Customer Success team which will ensure the day today work is done
• Provides advice on the execution of projects, informs clients on progress and gives specific instructions to other departments regarding the collection and electronic processing of information

Thought leadership

• Introduce new solutions and thought leadership pieces to the team
• Strong understanding and appreciation of the various MR protocols such as concept testing, product testing, U&A, Segmentation, Profiling studies, BHT and so on.
• Very good understanding of Qualitative- should have worked on multiple methodologies, culture work is an added advantage
• Should have worked on Qual + Quant projects understanding the ways

Business Management

• · Develops the business (profit and loss responsibilities)
• · Strong Leadership Competencies (360-degree assessment), proven successful business record, and demonstrated ability to effectively work with diverse teams
• · Provide top management with thorough review of internal and client financials including budget and forecast
• · Provide top management with thorough review of internal and client financials including budget and forecast

Role Expectations

Scope

1. Would manage the end-to-end relationship with all clients with a focus on the FMCG clients

2. Would be responsible for revenue generation, client servicing and collections. Joint responsibility of the deliverables along with the customer success team

3. Would be supported by the customer success team – which will take on the responsibility of end to end completion & delivery of the project

Role Summary

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and advanced analytics to change patients’ lives.  The Data Science Industrialization team within Data Science Solutions and Initiatives leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer’s digital transformation.

As a Manager, Data Science Operations Delivery Oversight, you will be part of the Data Science Industrialization team charged with productionizing high quality data science pipelines that power key business applications with advanced analytics/AI/ML.  You will be a member of a global team that defines and maintains ML Ops best practices and deploys and maintains production analytics and data science modeling workflows.  Your operational focus will be on productionizing data science workflows, including automating data ingestion and processing, analytic modeling and measurement processes, AI/ML models, and production workflow deployments.

Role Responsibilities

• Oversee conversion of data science workflows into scalable pipelines follows best practices laid out by the workflow productionization team and platform team
• Automate analytic workflows and processes for delivering data science analytic outputs (models, scored datasets, predicted outputs)
• Design and oversee implementation of data and model tracking and monitoring dashboards
• Ensure quality of deliverables and adherence to best practices of data science workflow productionization processes
• Oversee operations supporting productionization of analytic outputs in data science workflows and tools
• Lead design and build of backend operations to support data science and analytic accelerators
• Implement CI/CD orchestration for data science and analytics workflows
• Oversee production deployments and post-deployment model lifecycle management activities: drift monitoring, model retraining
• Support data science workflow-related technical issues and modeling infrastructure needs

Qualifications

Must-Have

• Bachelor’s degree in data science, analytics, or engineering related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline)
• 5+ years of work experience in data science, analytics, or engineering, with a preference for experience in the Commercial pharmaceutical analytics space
• Pharma & Life Science commercial functional knowledge
• Pharma & Life Science commercial data literacy
• Understanding of data science development lifecycle (CRISP)
• Understanding of MLOps principles and tech stack (e.g. MLFlow)
• Strong hands-on skills in ML engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
• Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
• Highly self-motivated to deliver both independently and with strong team collaboration
• Ability to creatively take on new challenges and work outside comfort zone
• Strong English communication skills (written & verbal)

Nice-to-Have

• Advanced degree in Data Science, Analytics, Computer Engineering, Computer Science, Information Systems or related discipline
• Hands on experience working in Agile teams, processes, and practices
• Experience leading or providing oversight for offshore analytics teams
• Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms
• Experience in CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins)
• Experience in software/product engineering
• Hands-on skills for data and machine learning pipeline orchestration via Dataiku platform
• Experience with Dataiku Data Science Studio

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Team Summary

Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

The individual will be part of VCA Data Solutions team, under Managed Services vertical and will be responsible for delivering data analytics projects with a key Visa client. The team is involved in a comprehensive range of analytics services for our client, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management.

What a Senior Manager – Managed Services does at Visa:

This role will be a member of VCA Data Solutions team in Asia Pacific and will report to the Head of Data overseeing the client account. This position will be embedded at client office and based in Bangalore.

The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from retail banking and credit cards with a strong background in data analysis to solve complex problems and unlock business value.

Key responsibilities include:

• Lead the delivery of analytics work in client squads, implement analytics-driven strategies as well as high-impact solutions for the Visa client
• Play the role of an individual contributor as well as team lead to develop data science capabilities & analytical solutions that solve business problems for the client
• Lead and mentor with working knowledge in retail banking , credit card and payments domain to guide team members on solution architecture
• Drive new initiatives and innovation by using data and technical frameworks
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure
• Export leading methodologies and best practices to other teams and importing successful methodologies from other international markets

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Essential Functions

• Lead a team of Data Scientists within Global Data Science, including project oversight, coaching and professional development
• Work with internal/external clients to understand their strategic business questions and lead project scoping/design to answer those questions by leveraging Visa’s data
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
• Communicate with clients to understand the challenges they face and convince them with data
• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
• Develop visualizations to make your complex analyses accessible to a broad audience
• Find opportunities to craft products out of analyses that are suitable for multiple clients
• Leverage big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
• Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance
• Provide guidance in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques
• Organize and manage multiple data science projects with diverse cross-functional stakeholders

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.