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

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

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analyst 3, import/export Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

analyst 3, import/export

data analyst business analytics 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

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

propelld

<div>
 
 
 Job Title:
 
 Business Analyst
 
 
 
 Location:
 
 Bangalore
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a high-impact Business Analyst who goes beyond reporting to actively drive business outcomes within the Collection Strategy function. This role will partner closely with senior leadership and cross-functional teams to leverage data for improving performance, optimizing strategy, and enabling informed decision-making. The ideal candidate combines strong analytical rigor with sharp business acumen and a demonstrated ability to translate insights into measurable strategic and operational impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Partner with business leaders and key stakeholders to understand business objectives and translate them into data-driven strategies that directly influence decision-making and outcomes.
 </li>
 <li>
 Take ownership of designing, developing, and governing key business metrics, MIS reports, dashboards, and analytical frameworks that support strategic business decisions.
 </li>
 <li>
 Lead proactive deep-dive analyses to identify trends, risks, opportunities, and performance gaps, providing actionable insights to senior leadership for driving business performance.
 </li>
 <li>
 Recommend new metrics, data-driven strategies, and analytical techniques to enhance operational performance, improve quality, and boost productivity across the business.
 </li>
 <li>
 Analyze performance across in-house and third-party channels, focusing on key efficiency and effectiveness metrics to optimize business outcomes.
 </li>
 <li>
 Develop early-warning indicators and performance monitoring mechanisms that provide actionable insights for timely corrective actions, driving continuous improvement.
 </li>
 <li>
 Prepare high-quality analytical reports and presentations that clearly communicate data-driven insights to senior management, business reviews, and Board-level discussions, influencing key business decisions.
 </li>
 <li>
 Collaborate cross-functionally with Collections, Risk, Credit, Technology, Product, Operations, and Business teams to implement data-driven initiatives that directly improve business operations and outcomes.
 </li>
 <li>
 Design and deploy interactive dashboards to track employee productivity and monitor key operational KPIs that align with business goals.
 </li>
 <li>
 Use advanced Excel, SQL, and PowerPoint to support data analysis, reporting, and executive communication, ensuring that insights directly contribute to strategic decision-making.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications &amp; Skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/ Master&rsquo;s degree in Business, Finance, Economics, Engineering, or a related field, advanced degree or relevant certifications preferred.
 </li>
 <li>
 2&ndash;5 years of experience in a Business Analyst, business facing role powered by data analytics
 
 in start-ups.
 
 </li>
 <li>
 Strong analytical and problem-solving skills paired with taking responsibility for business decisions.
 </li>
 <li>
 Has taken business responsibility and has contributed to strategy based on data which should have led to actionable outcomes.
 </li>
 <li>
 Advanced proficiency in Excel (pivot tables, advanced formulas, macros), SQL, and PowerPoint; experience with data visualization tools is a plus (
 
 we are not looking for purely data/analytics profiles, but rather candidates who have leveraged data for owning business outcomes).
 
 </li>
 <li>
 Excellent communication and stakeholder management skills, with the ability to influence decisions at senior levels.
 </li>
 <li>
 Proven ability to work effectively in a fast-paced, cross-functional environment and manage multiple priorities.
 </li>
 </ul>
 
 
 
 
 
 Why Join us?
 
 
 <ul>
 <li>
 Opportunity to work closely with senior leadership and leverage data to drive and influence strategic and operational decisions.
 </li>
 <li>
 Exposure to tackling complex business challenges and leading high-impact initiatives that use data to directly impact business outcomes in a dynamic, growth-oriented environment.
 </li>
 <li>
 A role where your ability to apply data-driven insights will shape and drive business performance and results.
 </li>
 </ul>
 
 
</div>

Business Analyst

Myntra

<div>
 
 
 Responsibilities:
 
 
 
 - Monthly Monetization supply planning and optimization
 
 
 - Monthly BU wise Traffic planning
 
 
 - Monitor Platform Search trends and reporting
 
 
 - Work in tandem with Product team on Search and Sort related BRDs and PRDs
 
 
 - Manage a team of 2 analysts and drive overall Store Analytics
 
 
 - Work on Growth of Central Campaigns like Myntra Unique
 
 
 - Support business decisions by - formulating hypothesis, structuring the problem, analyse relevant data to verify hypothesis and prepare documentation to communicate the results with insights
 
 
 - Monitor key metrics such as revenue, gross margin, item price, conversion, customer count etc.
 
 
 - Influence various teams/stakeholders within the organization (planning, category etc.) to meet goals
 
 
 - Analyzing platform and category level metrics to isolate problems/strength areas to solve/leverage
 
 
 - Develop &amp; implement strong reporting formats which give a 360 degree view of the health of the portfolio
 
 
 - Use statistical methods to analyze data and generate useful business reports and insights
 
 
 - Work with management team to create a prioritized list of needs for each business segment.
 
 
 - Work with departmental managers to outline the specific data needs for each business method analysis project
 
 
 
 Qualifications &amp; Experience:
 
 
 
 - Engineering Degree from an accredited university or college.
 
 
 - Work experience as a data analyst or in related analytics area for at least 3+ Years
 
 
 - Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)
 
 
 - High-competency in written and verbal communication skills
 
 
 - Able to work with others in a fast-paced, team environment and to interact effectively with all levels of management.
 
 
 - Results oriented with excellent communication and interpersonal skills, can work individually with minimal or no supervision
 
 
 - Experience with advanced MS Excel, Python or R and SQL a must
 
 
 Key skills required : Statistics/Math Skills, MS Excel, Python or R, SQL, PowerBi (optional)
 
 
 
</div>

Lead Associate : Data Analyst

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

Nykaa

<div>
 
 
 
 About Us
 
 
 
 
 
 
 
 Nykaa.com is India's biggest online destination for beauty &amp; personal care. With over 2500+ brands, 5 lakh+ products and delivery all across India, we strive to be the one-stop-shop for a consumer.
 
 
 
 
 
 We launched Nykaa Fashion in 2018, as a curated and managed marketplace with an endeavour to inspire consumers to make fashion and lifestyle choices that best suit them. We have a wide assortment of offerings, across price points, to cater to women, men and children of diverse demographics. Presently, Nykaa Fashion houses 2,000+ brands and over 2 million products across five consumer segments: women, men, kids, tech and home. Within these consumer segments, we merchandise across several categories including western wear, Indian wear, lingerie, footwear, bags, jewellery, accessories, leisurewear, home d&eacute;cor, bath, bed and kitchen in order to cater to the diverse consumers&rsquo; journeys across our platform. We offer a mix of brands across established national brands, international brands, luxury brands, and emerging labels and designers.
 
 
 
 
 
 Apart from retailing, Nykaa strives to provide advice through its various platforms, like the BeautyBook (bi-monthly magazine), Nykaa Network - A community of millions of beauty and fashion enthusiasts across India, Nykaa TV - its YouTube channel which engages an audience of over 1 million.
 
 
 
 
 
 Nykaa&rsquo;s vision and mission is to inspire and enable each person to thrive in their own uniqueness by creating a community and being a trusted source of information and products to cater to every lifestyle need, by giving choice, inspiration, authenticity and convenience to diverse consumers.
 
 
 
 
 
 
 
 Position Name
 
 : Analyst III
 
 
 
 
 
 
 Data in the current business environment is the key for business success. As a senior leader, you will be responsible to convert the immense data that we generate into actionable insights for business and product teams. You should have the ability to challenge the status quo by providing thought leadership, developing team competency, bringing industry best practices and building strong relationships across business and product functions.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Problem and opportunity assessment
 </li>
 <li>
 Leverage data and voice of customers to understand business and customer problems, emerging customer and competitor trends and areas for product development. Identify, strategize, and prioritise analytics initiatives for quick wins as to fast track mid/long term success
 </li>
 <li>
 High Impact insights and strategic recommendations
 </li>
 <li>
 Define and standardise key performance scorecards with close collaboration with BI
 </li>
 <li>
 Establish frameworks and provide guidance to analysts to derive and share actionable insights including forecast, trend analysis, feature impact and ROI
 </li>
 <li>
 Partner with cross-functional teams to influence roadmap planning and strategic decision-making based on predictive insights and model outputs.
 </li>
 <li>
 Proactively identify opportunities for advanced modelling to solve critical business problems and influence product and marketing strategies.
 </li>
 </ul>
 
 
 
 
 
 
 Capabilities
 
 
 
 
 
 
 <ul>
 <li>
 Excellent problem solving and comprehensive analytical skills - ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights
 </li>
 <li>
 
 Strong statistical modelling expertise
 
 : Proven hands-on experience in building and validating models including regression, classification, clustering, time-series forecasting, and experimentation (A/B testing frameworks).
 </li>
 <li>
 
 Deep proficiency in Python
 
 for data analysis and modelling (Pandas, NumPy, scikit-learn, statsmodels, etc.); comfort with SQL and basic data engineering practices.
 </li>
 <li>
 Think strategically, exponentially and understand the &lsquo;big picture&rsquo;
 </li>
 <li>
 Strong communication and presentation skills - ability to connect the dots through data, communicate and present with impact to all levels of the organization
 </li>
 <li>
 Intellectual Curiosity - Initiative to dig into the who, why, where, what &amp; how. Curiosity about business and customer behaviour
 </li>
 <li>
 Ability to inspire and motivate teams, understand and apply situational leadership as needed.
 </li>
 <li>
 Solid experience in various tools and technologies - SQL, Excel, Python/R, Clickstream analytics, Tableau (is a plus)
 </li>
 <li>
 Experience of working with e-commerce/consumer tech is a plus
 </li>
 <li>
 Extremely positive &lsquo;Can do&rsquo; attitude which continuously drives you to take initiatives and demonstrate high degree of self motivation
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, Analytics, computer science or related fields
 </li>
 <li>
 6-9 years of experience in data and business analytics with 2+ years of junior-mid analytics leadership experience
 </li>
 </ul>
 
 
</div>

Analyst - III

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>

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