business analyst

digital analytics associate Jobs in Mumbai India

digital analytics associate

senior data analyst

data scientist

LTIMindtree

<div>
 
 
 
 Data Scientist - GENAI
 
 
 
 
 
 
 
 We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 
 
 
 
 
 
 
 Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
 
 
 
 
 
 
 
 
 Secondary Skills &ndash;
 
 NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 
 
 
 
 
 
 
 Responsibilities for Data Scientist:
 
 
 
 
 
 
 <ul>
 <li>
 Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
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 Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
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 Assess the effectiveness and accuracy of new data sources and data gathering techniques.
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 Develop custom models and algorithms to apply to data sets.
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 Use predictive modelling to increase and optimize customer experiences.
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 Coordinate with different functional teams to implement models and monitor outcomes.
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 Analyse large amounts of information to discover trends and patterns.
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 Build predictive models and machine-learning algorithms.
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 Present information using data visualization techniques .
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 Good to have a knowledge of ML lifecycle and model governance.
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 </ul>
 
 
 
 
 
 
 Qualifications for Data Scientist
 
 
 
 
 
 
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 Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
 
 
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 Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
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 Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
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 Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
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 Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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 Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
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 Experience visualizing/presenting data for stakeholders
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 Experience with Snowflake will be an added advantage
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 Experience in deployment of machine learning models using cloud technologies"
 </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>
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 Experience of 5+ years in analytics/predictive modeling/machine learning
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 Experience of 5+ years in Python/R in building as well as deploying scalable analytics based models
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 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>

Morgan Stanley

<div>
 Profile Description
 
 
 Division ETSLocation 0
 
 
 We&rsquo;re seeking someone to join our team as (Director) Business Data Analyst who can Interpret data, analyze results using statistical techniques and provide ongoing reports
 
 
 WM_Technology
 
 
 Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, &amp; Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
 
 
 Analytics Intelligence &amp; Data Technology
 
 
 Analytics, Intelligence and Data Technology (AIDT) enables and drives strategic data initiatives and business capabilities across Wealth Management.
 
 
 Business Analysis
 
 
 This is Director Position that analyzes business processes, identifies needs, and establishes requirements to enhance efficiency and productivity through a blend of business acumen and analytical skills.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 At Morgan Stanley India, we support the Firm&rsquo;s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm&rsquo;s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there&rsquo;s ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
 Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on&hellip;
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
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 Extensive coordination and collaboration for gathering requirements and technical details with key stakeholder across different teams (development, architecture, QA and SMEs)
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 Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
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 Participate in design discussions and partner with key stakeholders in documenting and developing potential solutions to the business problems
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 Acquire data from primary or secondary data sources and maintain databases/data systems
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 Identify, analyze, and interpret trends or patterns in complex data sets
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 Work with management to prioritize business and information needs
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 Locate and define new process improvement opportunities
 
 
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 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
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 Data Analyst with extensive experience of working on complex Data driven applications
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 Knowledge of BFSI domain and Wealth Management business &ndash; new account opening, KYC and client onboarding
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 Proven working experience as a Data Analyst or Business Data Analyst
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 Critical thinking ability, Strong problem-solving capacity
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 Advanced written and verbal communication skills.
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 Project management skills
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 Ability to work under pressure with different moving parts and deliver to tight deadlines
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 Effective listener, speaker, reader and writer - able to bridge business and technical domains, promote best practices, and enforce good governance within challenging timelines
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 Bachelors or Masters in Computer Science, Information Management or other relevant field.
 
 
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 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Business Data Analysis_Director_Business Analytics

L'Oréal

<div>
 We are seeking a highly motivated and skilled Formulation Scientist to join our Hair Color Development team. In this role, you will be instrumental in providing formulation support for key hair color renovation projects, You will leverage your expertise in cosmetic science, particularly hair color, to develop stable, high-quality products that meet our rigorous standards.
 
 
 
 Key Responsibilities
 
 
 
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 Formulation Development: Design, develop, and optimize new and existing hair color formulations, focusing on performance, aesthetics, and consumer experience.
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 Stability Testing: Conduct comprehensive stability studies on formulations to ensure product integrity, efficacy, and shelf-life under various conditions.
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 Quality Control Support: Collaborate closely with Quality Control teams to establish and maintain robust quality standards for raw materials and finished products.
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 Project Management: Contribute to and manage specific aspects of renovation projects, ensuring timely delivery and adherence to project goals.
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 Technical Documentation: Maintain detailed records of experimental procedures, results, and analyses.
 
 
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 Required Skills &amp; Qualifications
 
 
 
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 Educational Background: A degree in Chemistry, Cosmetics, Pharmacy, Biotechnology, or a related scientific field.
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 Cosmetic Formulation Expertise: Strong theoretical and practical understanding of cosmetic formulation principles, with a specific focus on hair color science.
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 Emulsion Knowledge: Basic to intermediate understanding of emulsions, including their formation, characteristics, and stability mechanisms.
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 Analytical Acumen: Ability to analyze formulation data, troubleshoot issues, and propose effective solutions.
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 Communication: Excellent written and verbal communication skills to articulate technical information clearly and concisely.
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 Software Proficiency: Competency in Microsoft Word, PowerPoint, and Excel for documentation, presentation, and data analysis.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
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 An exciting opportunity to work on innovative and impactful hair color products.
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 A collaborative and supportive work environment within a global leader in the beauty industry.
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 Opportunities for professional growth and development
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 </ul>
</div>

Intern- Formulator (Color Science) -Research & Innovation

Atos

<div>
 
 
 Job Summary
 
 
 
 We are seeking a high-impact, strategic AI Presales Consultant to join our elite team. This is not a standard presales role. You will engage "upstream" with our most strategic clients, acting as their primary technical and strategic advisor on their end-to-end AI journey, from initial AI curiosity to a fully architected and scalable MLOps platform. You will design the "how" of their AI strategy
 
 
 Your mission is to position our entire full-stack AI portfolio, translating complex business challenges into fully architected solutions. You will be the expert who connects the business use case to the underlying supercomputing hardware, with a strong emphasis on our AI Platform. You will guide clients through the complexities of modern AI&mdash;from data pipelines and RAG architectures to model selection, inference optimization, and precise infrastructure sizing. If you are passionate about building the
 
 factory
 
 for AI, not just the
 
 product
 
 , this role is for you.
 
 
 
 
 
 What We Don't Expect (Focus of the Role)
 
 
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 You are
 
 not
 
 expected to be a hardware specialist (e.g., designing server racks or comparing GPU silicon).
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 You are
 
 not
 
 expected to be a domain-specific data scientist (e.g., building the final fraud detection model or NLP algorithm).
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 Your focus is the
 
 platform that enables
 
 these two ends of the spectrum.
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 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Strategic Client Advisory:
 
 Lead executive-level "Art of the Possible" workshops and technical discovery sessions to understand a client's business goals, data readiness, and AI maturity.
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 Full-Stack Solution Architecture:
 
 Design holistic, end-to-end AI solutions that synergize our supercomputing hardware, AI software platform, and MLOps capabilities to meet specific client needs.
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 Generative AI &amp; LLM Expertise:
 
 Act as the subject matter expert on Generative AI. Architect and evangelize scalable data ingestion and preparation pipelines, specializing in Retrieval-Augmented Generation (RAG) frameworks.
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 Infrastructure Sizing &amp; Performance Modelling:
 
 Analyse customer workloads (data volume, model complexity, training frequency, inference throughput) to accurately size the required platform infrastructure, including Kubernetes clusters, data storage, and software licenses. This includes calculating compute, storage, and network requirements based on key performance metrics like model parameters, token performance (tokens/sec), desired latency, and concurrent user load.
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 Model &amp; Software Consultation:
 
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 Advise clients on AI model selection, comparing the trade-offs of open-source vs. proprietary LLMs, fine-tuning vs. foundation models, and model quantization.
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 Position and demonstrate our proprietary AI software platform, MLOps tools, and libraries, integrating them into the client's ecosystem.
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 Inference Optimization:
 
 Design and architect robust, low-latency, and high-throughput inference solutions for complex AI models, including large-scale LLM serving.
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 User Experience (UX) Advocacy:
 
 Collaborate with client teams to define the end-user experience, ensuring the solution delivers tangible business value and a seamless interface for data scientists, analysts, and application users.
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 Sales Cycle Enablement:
 
 Own the technical narrative throughout the sales cycle. Build and deliver compelling presentations, custom demonstrations, and Proofs of Concept (PoCs). Lead the technical response to complex RFIs/RFPs.
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 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
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 Experience:
 
 7+ years in a customer-facing technical role (e.g., Presales, Solutions Architecture, AI Specialist, or Technical Consulting), with a proven track record of designing large-scale AI, ML, or HPC solutions.
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 Generative AI Expertise:
 
 Deep, hands-on understanding of LLM architectures. Must be able to architect, explain, and build PoCs for RAG pipelines, including vector databases (e.g., Milvus, Pinecone, Chroma), embedding models, and data ingestion strategies.
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 Critical Sizing &amp; Hardware Acumen:
 
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 Direct experience in sizing AI infrastructure. Must be able to perform "napkin math" and detailed calculations for GPU, CPU, memory, and network requirements.
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 Must be able to fluently discuss performance metrics (tokens/second, latency, throughput, TFLOPS) and their relationship to hardware choice (e.g., NVIDIA H100 vs. A100, memory bandwidth, interconnects like NVLink/InfiniBand).
 </li>
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 AI Platform &amp; MLOps:
 
 Expertise in the AI software stack. Strong understanding of MLOps principles (Kubeflow, MLflow), Kubernetes (K8s) for AI workloads, and model serving platforms (NVIDIA Triton, KServe, or similar).
 </li>
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 Model Landscape Knowledge:
 
 Strong, current knowledge of the AI model landscape (e.g., Llama family, Mistral, GPT-family, foundation models). Ability to discuss fine-tuning techniques, quantization, and pruning.
 </li>
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 Consultative &amp; Communication Skills:
 
 Exceptional communication, whiteboarding, and presentation skills. Ability to translate executive-level business needs into detailed technical architecture and build a compelling C-level value proposition.
 </li>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related engineering field.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
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 Direct experience working for an AI hardware (GPU, CPU, Supercomputer) or major cloud AI platform provider.
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 Hands-on experience with parallel computing frameworks (CUDA, MPI).
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 Experience in scientific computing, research, or other HPC domains.
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 Active contributor to the AI/ML community (e.g., publications, conference talks, open-source projects).
 </li>
 </ul>
 
 
</div>

AI Presales Consultant

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Description
 
 
 
 We are seeking a talented and experienced Senior Consultant with a strong background in Data Governance to join our team. As a Senior Consultant, you will play a key role in advising and assisting our clients in developing and implementing effective data governance strategies. Your expertise in data management, compliance, and best practices will contribute to enhancing data integrity, privacy, and security across diverse organizations.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 Collaborate with clients to understand their business objectives and data challenges and develop comprehensive data governance strategies aligned with their specific needs. Support leadership in designing thought leadership in establishing data governance policies, procedures, and frameworks that ensure the effective management, privacy, and security of data assets. Help build the Data Governance capability along with other team members with PoVs, Accelerators and other Frameworks Execute projects for diverse organizations in the lines of data governance, data quality, data privacy, metadata management in the lines of people, process and technology Collaborate with client teams and stakeholders to promote data governance awareness and foster a culture of data-driven decision-making. Participate in data governance meetings and committees, contributing to the continuous improvement of data governance policies and practices.
 
 
 
 Qualifications And Experience
 
 
 
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 Bachelor's or master's degree with experience in Information Technology field
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 Solid understanding of data governance best practices, data quality management, data privacy regulations, and data security principles.
 </li>
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 Familiarity with AI, machine learning, and analytics technologies and their interaction with data governance is a plus.
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 Hands on experience with any of the Data Governance tools like Collibra, Informatica Axon, Alation and Data Privacy tools like OneTrust, BigID
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 Strong analytical and problem-solving skills, with the ability to address complex data governance challenges.
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 Excellent communication and interpersonal skills to collaborate effectively with clients and internal teams.
 </li>
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 Certifications in data governance or related fields (e.g., DAMA-CDMP, DCAM) will be good but not necessary.
 
 
 
 </li>
 </ul>
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Senior Consultant

Zeno Health

<div>
 
 
 Role Overview
 
 
 
 The candidate will collaborate closely with business users to understand their data needs, translate requirements into technical specifications, and deliver effective data solutions. The role includes performing root cause analysis, building dashboards, conducting business process assessments, and mentoring junior analysts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate closely with business users to understand their data needs, translate requirements into technical specifications, and deliver data solutions.
 </li>
 <li>
 Perform root cause analysis on data discrepancies and implement data quality checks to ensure the integrity of data assets.
 </li>
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 Build highly impactful and intuitive dashboards that bring the underlying data to life through insights.
 </li>
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 Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations.
 </li>
 <li>
 Conduct in-depth analyses of business processes, identify key levers in business and areas for improvement, and provide data-driven recommendations.
 </li>
 <li>
 Mentor and guide junior analysts, providing support and sharing best practices to enhance their skills and capabilities.
 </li>
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 Manage multiple tasks effectively, ensuring deadlines are met while maintaining high-quality deliverables.
 </li>
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 Design, implement, and analyze A/B experiments to test product changes and new features.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 <ul>
 <li>
 3+ years of relevant work experience as a Data Analyst
 </li>
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 Hands-on experience in SQL and Python
 </li>
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 Experience in data visualization tools such as Tableau
 </li>
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 Good aptitude and analytical skills
 </li>
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 Experience in statistical analysis and data modeling
 </li>
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 Demonstrated experience in data mining and cleansing, ETL data movement, and report and analysis automation/streamlining
 </li>
 <li>
 Experience working effectively with autonomy as well as within a team environment
 </li>
 <li>
 Understanding of Machine Learning concepts and willingness to learn
 </li>
 <li>
 Ability to zoom out for the bigger picture while working through the finer details
 </li>
 </ul>
 
 
 
 
 
 OKRs
 
 
 
 
 Objective 1: Enhance Data-Driven Decision-Making
 
 
 <ul>
 <li>
 KR1: Increase the adoption of data-driven decision-making across the organization.
 </li>
 <li>
 KR2: Improve data quality and accuracy, resulting in a reduction in data-related errors and discrepancies.
 </li>
 </ul>
 
 
 Objective 2: Drive Business Growth and Innovation
 
 
 <ul>
 <li>
 KR1: Helping teams achieve incremental business growth through data-informed strategies and recommendations.
 </li>
 <li>
 KR2: Identify and prioritize new avenues of improvement opportunities through data analysis.
 </li>
 </ul>
 
 
 Objective 3: Drive User Growth and Retention
 
 
 <ul>
 <li>
 KR1: Working on a data-driven strategy to increase user retention and acquisition.
 </li>
 <li>
 KR2: Identifying issues and challenges through data and solving with the team.
 </li>
 </ul>
 
 
 Objective 4: Creating Funnels for New Product Features Launch
 
 
</div>

Senior Data Analyst

Explore 115+ Data scientist in Mumbai India this January. Find roles across top companies and apply now to boost your career.

115 data scientist jobs IN Mumbai India

Data Scientist

Data Scientist

Business Data Analysis_Director_Business Analytics

Intern- Formulator (Color Science) -Research & Innovation

AI Presales Consultant

Senior Consultant

Senior Data Analyst