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data analyst l4 Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

data analyst l4

data scientist

Snapmint

<div>
 
 
 Job Description: Data Scientist &ndash; Credit Risk Team
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are hiring a
 
 Data Scientist
 
 to own
 
 end-to-end credit underwriting models
 
 for a high-scale
 
 fintech product
 
 . This role spans
 
 model development, real-time deployment, monitoring, and continuous improvement
 
 , directly impacting approval rates, fraud, credit losses, and GMV.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Credit Underwriting &amp; Modeling
 
 
 <ul>
 <li>
 Build and maintain
 
 credit risk models
 
 using
 
 Logistic Regression, XGBoost / LightGBM and deep learning
 
 </li>
 <li>
 Design underwriting strategies for
 
 NTC (New-to-Credit)
 
 users using alternative &amp; behavioural data
 </li>
 <li>
 Balance
 
 credit risk, fraud risk, and conversion
 
 in checkout flows
 </li>
 <li>
 Design
 
 real-time features
 
 with strict latency SLAs (&lt;100 ms):
 </li>
 <li>
 Velocity &amp; frequency features
 </li>
 <li>
 Rolling window aggregates
 </li>
 <li>
 Behavioural &amp; transactional signals
 </li>
 <li>
 Implement
 
 incremental / online feature updates
 
 (mean, std, EWMA, decay)
 </li>
 <li>
 Ensure
 
 training&ndash;serving feature parity
 
 using feature stores or custom pipelines
 </li>
 <li>
 Partner with Risk teams to define:
 </li>
 <li>
 Score cut-offs, bands, and guardrails
 </li>
 <li>
 Policy rules layered over ML models
 </li>
 </ul>
 
 
 
 
 
 Experimentation &amp; Business Impact:
 
 
 <ul>
 <li>
 Measure impact on:
 </li>
 <li>
 Approval rate
 </li>
 <li>
 FPD &amp; delinquency
 </li>
 <li>
 Portfolio loss &amp; margins
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 2&ndash;6+ years
 
 experience in
 
 Credit Risk / Lending / Cards
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python &amp; SQL
 
 </li>
 <li>
 Experience with
 
 credit bureau data
 
 (CIBIL / Experian / Equifax)
 </li>
 </ul>
 
 
 
 
 
 Location :
 
 Bangalore
 
 
 
 Working Days:
 
 Monday to Friday.
 
</div>

Data Scientist

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

<div>
 
 Roles &amp; Responsibilities
 
 
 
 The Lead Data Analyst's primary responsibility is to deliver Business Insights &amp; Product Insights through data analysis. Act as a subject matter expert for the team/clients in designing and recommending the appropriate business approaches and methodology in addressing key business issues. Business research &amp; experiment, development, and implementation of appropriate process / systems that lead to improved business performance through identifying the opportunities for optimization.
 
 
 
 Analytical &amp; Technical Skills
 
 
 
 The candidate must be passionate and highly skilled in business analytics and data representation. The candidate should also be highly knowledgeable in the contact center business use of emerging open-source data visualization tools Power BI, Domo etc. This is necessary for the creation of visually and verbally engaging reports and presentations, for clients, leadership teams, and other key stakeholders.
 
 
 The candidate should be skilled in SQL database, Data crunching, Business analytics, Data analytics, and Python (added advantage) etc. Additionally have a deep understanding of A/B testing and be highly knowledgeable in key metric identification for driving and maintaining healthy business performance.
 
 
 Experience in CC contact channels, digital products, Digital transformation solutions, Conversational AI Optimization (Voice &amp; Digital), Client handling, and web data handling would be added advantage.
</div>

Data Analyst-Business Analytics-Data Scientist

SkilloVilla

<div>
 
 
 About the Job
 
 
 
 We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 
 
 
 
 
 
 Location: Bengaluru (Work from Office)
 
 
 
 
 Duration: 6 Months + PPO (based on performance)
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Certificate of Internship
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 An opportunity to
 
 convert the internship to a full-time role
 
 </li>
 <li>
 Get
 
 mentoring from the COO and CTO
 
 </li>
 <li>
 Work in an agile environment on quality problems
 </li>
 </ul>
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
 
 ML/DL/GenAI/NLP/CV
 
 .
 </li>
 <li>
 Design and build high-quality learning products that are focused on
 
 real-world applications and employment
 
 .
 </li>
 <li>
 Collaborate cross-functionally with teams to ensure a seamless development process for
 
 course materials and related content
 
 (video lectures, reading materials, problem statements, case studies).
 </li>
 <li>
 Stay updated with the latest
 
 trends and industry developments in Data Science
 
 to ensure the curriculum remains relevant and up-to-date.
 </li>
 <li>
 Manage and track student progress through assignments, quizzes, and other assessments.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 
 Bare Minimum
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
 </li>
 <li>
 Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
 </li>
 <li>
 Communication: Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 ﻿
 
 Recommended
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: MTech or MSc with upto 1 year of experience in building AI solutions.
 </li>
 <li>
 Programming: Knowledge of DSA and backend development (FastAPI) using Python.
 </li>
 <li>
 Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
 </li>
 </ul>
 
 
 
 
 
 Ready to showcase your talents?
 
 
 
 
 Submit your resume, and let us see what you'vs got!
 
 
</div>

Data Science Curriculum Intern

FedEx

<div>
 Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.
 
 
 Grade - ____
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 What Your Main Responsibilities Are
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.
 </li>
 <li>
 Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
 </li>
 <li>
 Apply optimization techniques to improve business processes and resource allocation.
 </li>
 <li>
 Design and implement decision support systems that enable stakeholders to make data-driven decisions.
 </li>
 <li>
 Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
 </li>
 <li>
 Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.
 </li>
 <li>
 Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
 </li>
 <li>
 Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.
 
 
 </li>
 </ul>
 Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.
 
 
 Relevant work experience in decision science based on the following number of years:
 
 
 Standard I: Two (2) years
 
 
 Standard II: Three (3) years
 
 
 Senior I: Four (4) years
 
 
 Senior II: Five (5) years
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 Fluency in English
 </li>
 <li>
 Analytical Skills
 </li>
 <li>
 Accuracy &amp; Attention to Detail
 </li>
 <li>
 Numerical Skills
 </li>
 <li>
 Planning &amp; Organizing Skills
 </li>
 <li>
 Presentation Skills
 </li>
 <li>
 Statistical and Mathematical Knowledge
 </li>
 <li>
 Data Modeling and Visualization Skills
 </li>
 <li>
 Programming Skills
 
 
 </li>
 </ul>
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 
 
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 Our Company
 
 
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 
 
 Our Philosophy
 
 
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 
 
 Our Culture
 
 
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>

Decision Scientist I

<div>
 Design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions. Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources. Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis. Learn to use data, statistical and quantitative analysis, to drive decision making.
 
 
 Grade : T2
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 
 What Your Main Responsibilities Are:
 
 
 
 
 Acts as a technical expert on complex and specialist subject(s). Supports management with the analysis, interpretation and application of complex information, contributing to the achievement of divisional and corporate goals. Supports or leads projects by applying area of expertise.
 
 
 
 
 Job Description Summary
 
 
 
 
 The Analyst will collaborate with global stakeholders to execute, validate, audit, and monitor revenue management/pricing strategies for FedEx's strategic customers&mdash;analysing large datasets for recommendations, creating decision-making visibility through compelling visualizations, and driving process improvements for better customer experience.
 
 
 Demonstrate understanding of core business concepts (financial metrics, market dynamics, competitive landscapes, pricing models, revenue/cost structures, margins, P&amp;L). Communicate results effectively to diverse audiences using current/emerging technologies.
 
 
 
 
 Job Description
 
 
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 
 What Your Main Responsibilities Are:
 
 
 
 
 <ul>
 <li>
 Collect, clean, and analyse large datasets to implement business rules.
 </li>
 <li>
 Assist in developing data-driven strategies and recommendations for business decisions.
 </li>
 <li>
 Collaborate with cross-functional teams to identify trends, patterns, and opportunities.
 </li>
 <li>
 Contribute to the continuous improvement of data quality and analytics processes.
 </li>
 <li>
 Ensure aligning with regions for timely, accurate, quality checked setup of discounts and pricing transition to FedEx Pricing systems and relevant tools.
 </li>
 <li>
 Transform, optimize Pricing processes for improved efficiency, reduced turnaround times and human intervention through process automation.
 
 
 </li>
 </ul>
 
 
 What Are We Looking For
 
 
 
 
 
 Additional Job Description
 
 
 
 
 Education
 
 
 
 Bachelor's degree (or equivalent) in Computer Science, MIS, Mathematics, Statistics, or a related discipline.
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 2-4 years of experience as a Data Analyst or similar role.
 
 
 </li>
 </ul>
 
 
 Knowledge, Skills, And Abilities
 
 
 
 
 <ul>
 <li>
 Proficient in SQL, SAS and Python, Data Visualization tool e.g. Power BI
 </li>
 <li>
 Strong analytical skills with an eye for detail, to deliver accurate results and actionable recommendation.
 </li>
 <li>
 Good understanding on pricing models/systems, revenue &amp; cost structures, contribution &amp; operating margins, and P&amp;L views
 </li>
 <li>
 Collaborate effectively (Stakeholder Management) with team members across different regions to achieve common goals, effective communication skills to communicate with people across all levels including senior management.
 
 
 </li>
 </ul>
 Analytical Skills, Accuracy &amp; Attention to Detail, Planning &amp; Organizing Skills, Influencing &amp; Persuasion Skills, Presentation Skills
 
 
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 
 
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 Our Company
 
 
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 
 
 Our Philosophy
 
 
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 
 
 Our Culture
 
 
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>

Data Analyst

Explore 82+ Data scientist in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru this February. Find roles across top companies and apply now to boost your career.

82 data scientist jobs In Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

Data Scientist

Data Scientist

Director - Data Scientist

Data Analyst-Business Analytics-Data Scientist

Data Science Curriculum Intern

Decision Scientist I

Data Analyst