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Teradata

<div>
 
 Our Company
 
 
 
 Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.
 
 
 The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment.
 
 
 
 What You&rsquo;ll Do
 
 
 
 The Principal Data Scientist (pre-sales) is an experienced and expert Data Scientist, able to provide industry thought-leadership on Analytics and its application across industries and across use-cases. The Principal Data Scientist supports the account team in framing business problems and in identifying analytic solutions that leverage Teradata technology and that are disruptive, innovative - and above all, practical. An articulate and compelling communicator, the Principal Data Scientist establishes our position as an important partner for advanced analytics with customers and prospects and is a trusted advisor to executives, senior managers and fellow data scientists alike across a range of target accounts. They are also a hands-on practitioner who is ready, willing and able to roll-up her sleeves and to deliver POC and short-term pre-sales engagements. The Principal Data Scientist has an excellent theoretical and practical understanding of statistics and machine learning and has a strong track record of applying this understanding at scale to drive business benefit. They are insanely curious and is a natural problem-solver and able to effectively promote Teradata technology and solutions to our customers.
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 The successful candidate will work with other expert team members to
 
 
 <ul>
 <li>
 Provide pre-sales support at an executive level to the Teradata account teams at a local country, Geo and an International Theatre level. Helping them to position and sell complex Analytic solutions that drive sales of Teradata software.
 </li>
 <li>
 Provide strategic pre-sales consulting to executives and senior managers in our target market.
 </li>
 <li>
 Support the delivery of PoC and PoV projects that demonstrate the viability and applicability of Analytic use-cases and the superiority of Teradata solutions and services.
 </li>
 <li>
 Work with the extended Account team, and Sales Analytics Specialists to develop new Analytic propositions that are aligned with industry trends and customer requirements.
 
 
 </li>
 </ul>
 
 What Makes You a Qualified Candidate
 
 
 
 <ul>
 <li>
 Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data.
 </li>
 <li>
 Have experience with Teradata partner&rsquo;s analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku and H2O
 </li>
 <li>
 Have strong hands-on programming skills in at least one major analytic programming language and/or tool in addition to SQL
 </li>
 <li>
 Strong understanding of data engineering and database systems.
 </li>
 <li>
 Recognised in the local country, geo and International Theatre as the go-to expert
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 An expertise in Data Science with a strong theoretical grounding in statistics, advanced analytics, and machine learning and at least 10 years real-world experience in the application of advanced analytics.
 </li>
 <li>
 A passion about knowledge sharing and demonstrate a commitment to continuous professional development.
 </li>
 <li>
 A Belief in Teradata's Analytic solutions and services and be a commitment to working with the product, engineering, and consulting teams to ensure that they continue to lead the market
 </li>
 <li>
 An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences.
 </li>
 <li>
 a degree level qualification (preferably Masters or PHD) in Statistics, Data Science, the physical or biological sciences or a related discipline
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Principal Data Scientist

Piramal Finance

<div>
 
 We are seeking a dynamic Data Scientist to spearhead our BIU team in Mumbai/Bangalore. In this role, you will be focusing on Portfolio and Business Analytics to drive growth and profitability objectives. Your expertise in data analysis, machine learning, and strategic thinking will help support data-driven decision-making within our business.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master's degree in Economics, Statistics, Computer Sciences, Mathematics, Operational Research, CA, or Engineering from a reputed college.
 </li>
 <li>
 This role requires 2+ years of experience in analytics, preferably financial services, retail business
 </li>
 <li>
 Proven track record of leading and mentoring data scientists.
 </li>
 <li>
 Strong proficiency in Python, model development, validation, machine learning, NLP, and marketing analytics.
 </li>
 <li>
 Hands-on experience with analytics tools like R, SQL, Power BI, and MS Excel.
 </li>
 <li>
 Deep knowledge of predictive analytics techniques (machine learning algorithms, logistic &amp; linear regression, decision trees, clustering).
 </li>
 <li>
 Expertise in exploratory data analysis (data preparation, exploration, and visualization).
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 
 
 Key Roles &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Data Analysis &amp; Modelling:
 
 .
 </li>
 <li>
 Ensure the accuracy, validity, and robustness of analytical solutions.
 </li>
 <li>
 Stay abreast of the latest advancements in data science and machine learning.
 </li>
 <li>
 
 Business Impact:
 
 </li>
 <li>
 Translate complex data insights into actionable business recommendations.
 </li>
 <li>
 Partner with cross-functional teams to drive data-driven decision-making.
 </li>
 <li>
 Measure and communicate the impact of the team's work.
 </li>
 <li>
 
 Stakeholder Management:
 
 </li>
 <li>
 Build and maintain strong relationships with key stakeholders across the organization.
 </li>
 <li>
 Effectively communicate project progress, findings, and recommendations.
 </li>
 <li>
 Collaborate with senior management to shape the data science roadmap.
 </li>
 </ul>
 
 
 
 
 
 Job Conditions:
 
 
 <ul>
 <li>
 This role requires 2 to 3 years of experience in analytics, preferably financial services,retail
 </li>
 <li>
 Strong expertise in Python, model development, validation, machine learning, NLP, Gen AI and marketing analytics is essential.
 </li>
 <li>
 Exceptional , communication, and project management skills are crucial.
 </li>
 </ul>
 
 
</div>

Data Scientist

HDFC Bank

<div>
 
 
 Vertical : Credit analytics and innovation
 
 
 
 
 Job Purpose
 
 
 
 Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.
 
 
 
 
 
 Job Responsibilities(JR) : 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 
 &middot; Scorecard Building and Modelling
 
 
 
 
 &middot; Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers
 
 
 &middot; Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank&rsquo;s strategies so as to gain maximum efficiencies.
 
 
 &middot; Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.
 
 
 &middot; Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure
 
 
 
 
 &middot; Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models
 
 
 
 
 &middot; Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders
 
 
 
 
 &middot; To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies
 
 
 &middot; To work on various aspects related to automation of scorecards in Analytics domain.
 
 
 
 
 &middot; Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives
 
 
 
 
 &middot; Innovation
 
 
 &middot; Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.
 
 
 &middot; Any other assignments depending on the needs of the organization
 
 
 
 
 
 Educational Qualifications
 
 
 
 
 Key Skills
 
 
 
 
 
 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred
 
 
 &middot; Excellent problem solving capabilities with strong fundamentals in computer science
 
 
 &middot; Strong technical &amp; analytical skills
 
 
 &middot; Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms
 
 
 &middot; Strong written and verbal communication skills
 
 
 &middot; Excellent knowledge of current trends in the field of machine learning/analytics field
 
 
 
 Experience Required
 
 
 <ul>
 <li>
 Experience of 2+ years in analytics/predictive modeling/machine learning
 </li>
 <li>
 Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models
 </li>
 <li>
 Exposure to banking preferable
 </li>
 </ul>
 
 
 
 
 Major Stakeholders
 
 (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
 
 
 &middot; Credit Policy
 
 
 &middot; Underwriting
 
 
 &middot; Process
 
 
 &middot; Fraud Control
 
 
 &middot; Product
 
 
 &middot; Credit Bureaus
 
 
 &middot; Third Party Analytics Service Providers
 
 
 &middot; IT
 
 
 &middot; Legal
 
 
 &middot; Information Security
 
 
 
</div>

Citi

<div>
 Institutional Credit Management&rsquo;s (&ldquo;ICM&rdquo;) objective is to provide an integrated &ldquo;end-to-end&rdquo; credit underwriting, identification, measurement, management, monitoring and reporting for wholesale credit businesses across the enterprise. In-Business Quality Assurance is an integral part of the ICM organization.
 
 
 The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. ICM Management uses the results of the quality assurance reviews to assess the quality of the group's policies, procedures, programs, and practices as relates to the management of wholesale credit risk. The results help management identify operational weaknesses, risks associated with the function, training needs, and process deficiencies.
 
 
 The ICM In-Business Quality Assurance - Business Risk Analyst executes and participates on the Quality Assurance Reviews (QARs), providing feedback, insight, and observations on any deficiency and areas of improvement, engaging with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators.
 
 
 This role reports to the ICM In-Business Quality Assurance Data Lead, and would ideally be suited to somebody who is currently working in the capacity of a Business Analyst or Risk Management professional with experience in Wholesale Credit Risk from a financial services background. If you are currently working as a Business Risk Officer, Control Tester, Business Analyst etc. in other financial institutions, then please apply for this role.
 
 
 
 Experience Is Using Python Is Essential For This Role.
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Support the In-Business Quality Assurance Head of Data Analytics to set the global strategy for and lead the implementation and ongoing delivery of a robust Data analytics and testing program for the Quality Assurance function as it relates to Wholesale Credit Risk (WCR) data governance.
 </li>
 <li>
 Provide effective challenge on the design and operation of the data and credit processes within ICM and report any identified gaps and concerns on those through quarterly reports published to ICM senior management. Ability to query and clean complex datasets from multiple sources, to funnel into advanced statistical analysis.
 </li>
 <li>
 Hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solution.
 </li>
 <li>
 Perform Design, Operational effectiveness assessments of various business processes within Wholesale Credit Risk
 </li>
 <li>
 Participate and Independently Lead Quality Assurance Reviews (QAR) covering Data relevant aspects.
 </li>
 <li>
 Read Policies, Standards and Procedures to understand key pillars, responsibilities, associated risks and expected controls for the business process(es) in scope.
 </li>
 <li>
 Lead data discovery to identify data lineage, controls, etc. for the defined business process in scope.
 </li>
 <li>
 Good grasp of Wholesale Credit Risk Processes and organizational awareness, to evaluate findings identified through the Quality Assurance process, determine materiality, and partnering with business to drive sustainable remediation.
 </li>
 <li>
 Deep and hands-on in deriving concrete insight from data and qualifying business impact.
 </li>
 <li>
 Collaborate within IBQA teams and with QA Directors and provide them with analytics insights.
 </li>
 <li>
 Monitors exceptions to dispute policy and identifies drivers of exceptions.
 </li>
 <li>
 Leverages data to examine effectiveness of the business processes.
 </li>
 <li>
 Has the ability to operate with a limited level of direct supervision
 </li>
 <li>
 Can exercise independence of judgement and autonomy.
 </li>
 <li>
 Acts as SME to senior stakeholders and /or other team members.
 </li>
 <li>
 Support WCR IBQA team to abreast of relevant changes to rules/regulations and other industry news including regulatory findings.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Relevant work experience in Risk &amp; Control function focusing on Wholesale Credit Risk.
 </li>
 <li>
 Hands on experience of Data Science / Data Analytics
 </li>
 <li>
 Deep understanding of control framework in the banks
 </li>
 <li>
 Experience in BCBS 239 is highly desirable.
 </li>
 <li>
 Python is essential. Tableau, SQL, MS Excel, (added advantage) we need to put Python at the top and mark it as essential
 </li>
 <li>
 Consistently demonstrates clear and concise written and verbal communication skills.
 </li>
 <li>
 Effective organizational influencing skills required.
 </li>
 <li>
 Excellent problem-solving skills Ability to see the big pictures with high attention to critical details.
 </li>
 <li>
 Demonstrated ability to develop and implement strategy and process improvement initiatives.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree, in Finance, Business or other Risk, and Quantitative areas.
 
 
 </li>
 </ul>
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Risk Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Business Risk &amp; Control
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 Citi is an equal opportunity and affirmative action employer.
 
 
 Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
 
 Citigroup Inc. and its subsidiaries ("Citi&rdquo;) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 Accessibility at Citi
 
 .
 
 
 View the "
 
 EEO is the Law
 
 " poster. View the
 
 EEO is the Law Supplement
 
 .
 
 
 View the
 
 EEO Policy Statement
 
 .
 
 
 View the
 
 Pay Transparency Posting
 
</div>

Data Scientist (Python) - Mumbai - Assistant Vice President

JPMorganChase

<div>
 
 Job Description
 
 
 
 We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business.
 
 
 As a Data Science Associate within the Card Data and Analytics team, you will leverage skills in building insights from advanced analytics, Gen AI / LLM tools, analysis, data querying, and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, and machine learning/AI, proficiency in SQL/Python programming, visualization methods, and technologies.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
 </li>
 <li>
 Support development of data science / AIML use cases for the Card business.
 </li>
 <li>
 Help partners in the Card business define their business problems and scope analytical solutions.
 </li>
 <li>
 Build an in-depth understanding of the Card domain and available data assets.
 </li>
 <li>
 Research, design, implement, and evaluate analytical approaches and models.
 </li>
 <li>
 Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
 </li>
 <li>
 Communicate findings and obstacles to stakeholders to drive delivery to market.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant quantitative field required in an analytical field (e.g., Statistics, Economics, Applied Math, Operations Research, other Data Science fields).
 </li>
 <li>
 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
 </li>
 <li>
 Exceptional analytical, quantitative, problem-solving, and communication skills.
 </li>
 <li>
 Excellent leadership, consultative partnering, and collaboration across teams.
 </li>
 <li>
 Knowledge of statistical software packages (e.g., Python) and data querying languages (e.g., SQL).
 </li>
 <li>
 Experience across a broad range of modern analytics tools (e.g., Snowflake, Databricks, SQL, Spark, Python).
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Understanding of the key drivers within the credit card P&amp;L is preferred.
 </li>
 <li>
 Financial services background preferred, but not required.
 </li>
 <li>
 Master&rsquo;s degree or equivalent in an analytical field.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.
 
 
 The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
</div>

Data Scientist Associate - AI/ML, Python

DBS Bank

<div>
 
 Job Objective
 
 
 
 In order to actively support the Global Financial Markets (GFM) data analytics capability, there is a need of candidate(s) with proper data science experience and skillset to assist in sourcing, compiling, designing, and analyzing GFM&rsquo;s structured and unstructured data into a proper data model framework to facilitate targeting potential business opportunities, process inefficiencies and overall business trends.
 
 
 This Position Will Report To The Head Of Digital And Data, GFM India And Will Be Part Of The Wider DBS Global Financial Markets Data Analytics Team And The Group GFM Data Chapter. The Team Will Set The Data Roadmap Strategy And Execution For The Global Financial Markets Regional Group Across 3 Areas Of Concentration
 
 
 <ul>
 <li>
 Execution &ndash; Data used to enhance the trading execution and strategy evaluations across multi-asset products for in-house and client
 </li>
 <li>
 Optimization &ndash; Portfolio optimization both in-house and client, process optimization with cognitive AI
 </li>
 <li>
 Recommendation &ndash; Data driven insights on business lead opportunities for internal Sales/Trading and external clients
 
 
 </li>
 </ul>
 The role will be centered on delivering data visualization across various BI tools (Tableau, Power BI), Extracting system data, external data sources, loading, cleansing and to delve into analytics and machine learning techniques to extract more meaningful data insights for potential business opportunities.
 
 
 The role will require exposure to and to work with the various BU and SU teams across DBS:
 
 
 <ul>
 <li>
 Treasury Trading teams across all asset-classes (FX, FXO, IRD, EQD, Fixed Income etc.)
 </li>
 <li>
 GFM Retail, Institutional and Wealth Sales teams
 </li>
 <li>
 Business Management functional teams
 </li>
 <li>
 Cross Business Unit exposure to Corp Banking and Wealth Management
 </li>
 <li>
 Data chapter teams across the market and head office
 </li>
 <li>
 Support functions such as IT, Operations, Legal &amp; Compliance, Finance etc.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work within the Data Analytics team (across geographies) to partner and represent across GFM teams to assess business needs and identify opportunities to apply data analytics and tools
 </li>
 <li>
 Assist in defining analytical strategy, including analytical approaches, data, and technology requirements
 </li>
 <li>
 Prioritize the book of work in accordance with the revenue impact and achieve the yearly data revenue targets set for the market
 </li>
 <li>
 Streamline data deliverables in co-ordination with multiple business stakeholders across the bank and in alignment with the VUCA business environment
 </li>
 <li>
 Data back-end tasks including, data extraction, transformation and loading as well as using various techniques for data cleansing
 </li>
 <li>
 Explore use cases for GenAI, AI/ML, deep learning / statistical methods to develop advanced data analytics models to uncover irregular and hidden patterns and predict business leads, risk events under comprehensive scenarios, also rolling out existing use cases from region to GFM India
 </li>
 <li>
 Ability to create effective data visualization via BI tools (i.e., Tableau, MS Power BI, Qlik suite) of results to present key findings to senior management and/or other stakeholders with actionable recommendations
 </li>
 <li>
 Collaborating with Business teams for data led experiments / campaigns and measure the outcome and effectiveness
 </li>
 <li>
 Identifying, raising and resolving data gaps, by evaluating business impact and coordinating with Tech team
 </li>
 <li>
 Assist in automating and deploying data analytics models in banking environment
 </li>
 <li>
 Working with lead Data Manager as well as Data Scientist colleagues on building, testing and optimization machine learning models
 </li>
 <li>
 Ideate, explore, assess new data solutions and their business impact, along with procuring budget for the same and taking it till implementation
 </li>
 <li>
 Co-ordinate with data governance teams from India and region, to ensure completion of the governance workflow for data usage and solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 General understanding of Financial Markets, with emphasis on Equity, FX, Credit and Interest Rate cash and derivative products
 </li>
 <li>
 Expert problem-solving skills, strong attention to detail, creative mindset and interest in data analytics
 </li>
 <li>
 Hands-on experience in Python, PySpark and/or R, SQL, or other statistical program languages and/or experience in using commercial statistical analytics tools, e.g., SAS, SPSS Extensive experience in data visualization tools, preferably Tableau
 </li>
 <li>
 Independent self-starter with ability to multitask and efficient project management
 </li>
 <li>
 Effective interpersonal and organizational skills. including stakeholder and leadership management
 </li>
 <li>
 Ability to formulate data solutions in the VUCA business environment, illustrate benefits via POC or MVP prototypes and implement it to drive business benefits
 </li>
 <li>
 Good command of English
 </li>
 <li>
 Have a &lsquo;can-do&rsquo; attitude
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor of Science degree or equivalent in Computer Science or Data Science or equivalent disciplines
 </li>
 <li>
 Degree holders in Math or Statistics with hands-on programming experience, will also be considered
 </li>
 <li>
 Has at least 2-3 years of relevant experience in Data Analysis, Data Science, Business Intelligence or other related fields. Hands-on project experience in developing machine learning models (preferred)
 
 
 </li>
 </ul>
 
 Primary Location
 
 
 
 India-Maharashtra-Mumbai
 
 
 
 Job
 
 
 
 Analytics
 
 
 
 Schedule
 
 
 
 Regular
 
 
 
 Job Type
 
 
 
 Full-time
 
 
 
 Job Posting
 
 
 
 Sep 9, 2025, 2:30:46 PM
</div>

Associate, Data Analyst, Global Financial Market

Sony Pictures Networks India

<div>
 
 
 Role Overview:
 
 
 
 
 
 
 
 Designation/Title: Senior Manager/Associate Vice President - Consumer Insights
 
 
 
 
 
 
 We are seeking a dynamic and analytical Programming Strategy &amp; Insights Manager to join our Research &amp; Strategy team. This role is critical in driving data-informed decision-making across programming and marketing by combining quantitative research with qualitative insights to craft compelling narratives for internal stakeholders. You will act as the bridge between the quantitative research team, qualitative researchers, and the programming strategy function &mdash; synthesising data into actionable insights and strategic presentations for senior management, content creators, and marketing teams.
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 
 Quantitative Analysis:
 
 <ul>
 <li>
 Lead the analysis of audience data using tools such as BARC, internal analytics platforms, and other industry-standard measurement tools.
 </li>
 <li>
 Interpret and visualize large data sets to extract key performance insights across genres, time slots, demographics, and platforms
 </li>
 <li>
 Insight Generation
 </li>
 <li>
 Integrate quantitative data with qualitative research (focus groups, viewer feedback, social listening) to build a 360-degree understanding of audience behavior
 </li>
 <li>
 Identify emerging content trends, consumption patterns, and market opportunities to inform content development and scheduling.
 </li>
 <li>
 Strategy &amp; Narrative Building:
 </li>
 <li>
 Develop clear, concise, and strategic insight decks and presentations for senior management, programming, and marketing teams.
 </li>
 <li>
 Translate data into storytelling frameworks that are easy to understand and guide decision-making across content acquisition, creation, and positioning.
 </li>
 <li>
 Cross-Functional Collaboration:
 </li>
 <li>
 Work closely with Programming, Marketing, Qualitative Research, Consumer Insights, and Digital Strategy teams to align goals and drive cohesive strategies.
 </li>
 <li>
 Serve as the key point of contact for quantitative insights within the broader Research &amp; Strategy ecosystem.
 </li>
 </ul>
 
 
 
 
 Key Requirements:
 
 <ul>
 <li>
 Bachelor's or Master's degree in Statistics, Data Science, Media Studies, Business Analytics, or related fields.
 </li>
 <li>
 Experience:
 </li>
 <li>
 12 +years of experience in a media/entertainment environment with a strong focus on audience research and insights.
 </li>
 <li>
 Deep working knowledge of BARC software and television/digital audience measurement systems.
 </li>
 <li>
 Technical &amp; Analytical Skills:
 </li>
 <li>
 Strong quantitative analysis skills with hands-on experience in BARC, Excel, Power BI, or similar data tools.
 </li>
 <li>
 Proficiency in storytelling with data &ndash; crafting compelling presentations using PowerPoint, Tableau, or other visualization tools.
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong communicator with the ability to translate numbers into clear, actionable stories.
 </li>
 <li>
 Collaborative mindset with the ability to work across diverse teams.
 </li>
 <li>
 High attention to detail and a strategic thinker.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in broadcast, streaming, or digital content strategy.
 </li>
 <li>
 Exposure to qualitative research methods and the integration of consumer insights.
 </li>
 <li>
 Prior work in fast-paced environments with content or creative teams.
 </li>
 </ul>
 
 
</div>

Senior Manager Consumer Insights

Explore 240+ Senior data scientist in Mumbai this September. Find roles across top companies and apply now to boost your career.

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Senior Manager Consumer Insights