data scientist

analyst

business analyst

data analyst

accounting analyst

data analytics specialist

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)

PwC Acceleration Center India

<div>
 
 
 Kindly apply if you have Wherescape Red/3D, Informatica or Snowflake experience.
 
 
 
 
 
 
 
 Role: Senior Associate
 
 
 
 
 Tower:
 
 Data Analytics &amp; Insights Managed Service
 
 
 
 Experience:
 
 6 &ndash; 10 years
 
 
 
 Key Skills:
 
 Data Engineering, Data Modeling (Data Vault 2.0)
 
 
 
 Educational Qualification:
 
 Bachelor&rsquo;s degree in computer science / IT or relevant field
 
 
 
 Work Location:
 
 Bangalore, India
 
 
 
 
 
 
 Job Description
 
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution using Data, Analytics &amp; Engineering capabilities. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 
 
 <ul>
 <li>
 Demonstrate critical thinking and the ability to bring order to complex, unstructured data problems.
 </li>
 <li>
 Review data engineering deliverables, data models, and transformation logic for quality and accuracy.
 </li>
 <li>
 Own status reporting, milestone tracking, and delivery governance for assigned workstreams.
 </li>
 <li>
 Adherence to SLAs with experience in incident, change, and problem management within managed services.
 </li>
 <li>
 Review own work and that of others for data quality, modeling standards, and architectural alignment.
 </li>
 <li>
 Demonstrate sound judgment in selecting appropriate tools and patterns and clearly articulate rationale.
 </li>
 <li>
 Seek and embrace opportunities providing exposure to diverse platforms, industries, and delivery models.
 </li>
 <li>
 Communicate in a clear, structured manner when influencing stakeholders and team members.
 </li>
 <li>
 Build and maintain strong client relationships by adapting communication and leadership style.
 </li>
 <li>
 Uphold the firm&rsquo;s code of ethics and business conduct.
 </li>
 <li>
 Demonstrate leadership by working directly with clients and leading data engineering engagements.
 </li>
 <li>
 Work collaboratively in a team environment with cross-functional and cross-competency teams.
 </li>
 <li>
 Actively contributes to COE initiatives, accelerators, standards, and best practices.
 </li>
 <li>
 Proactively manage risks, escalations, and dependencies across delivery.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Position Requirements
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 Primary Skills (Mandatory): Data Vault 2.0 (Hubs, Links, Satellites, Business Vault); dbt
 
 (core/cloud),
 
 WhereScape (RED/3D);
 
 
 Informatica
 
 (PowerCenter/IDMC); Cloud Data Warehouse, Advanced SQL, ELT and CDC, Orchestration (Bhoomi), Git and CI/CD for data
 
 
 
 
 
 
 Secondary Skills:
 
 Teradata, Python, SSIS, ServiceNow, Jira, Healthcare insurance domain knowledge (payer: claims, eligibility, provider, HIPAA)
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 Minimum 6 years of experience in enterprise data engineering and managed data &amp; analytics programs.
 </li>
 <li>
 Lead the design, review, and governance of Data Vault 2.0 architectures, including: (Hubs, Links, Satellites), Business Vault constructs Downstream consumption and semantic layers
 </li>
 <li>
 Strong experience in WhereScape and Informatica for data ingestion, transformation, orchestration, and automation.
 </li>
 <li>
 Ability to translate business requirements into scalable data models and transformation designs, particularly in the health insurance domain (claims, members, providers, policies).
 </li>
 <li>
 Guide teams in implementing best practices for data modeling, historization, auditability, and scalability.
 </li>
 <li>
 Provide technical oversight for data pipeline performance, reliability, and data quality.
 </li>
 <li>
 Support and influence migration strategy from traditional ETL to dbt and cloud-native ELT architectures.
 </li>
 <li>
 Partner with DevOps and platform teams to enable CI/CD, version control, automated testing, and controlled deployments.
 </li>
 <li>
 Strong expertise in writing and reviewing complex SQL and transformation logic.
 </li>
 <li>
 Experience delivering Managed Data &amp; Analytics services, including SLA-driven support and enhancements.
 </li>
 <li>
 Lead requirement discussions with business and technology stakeholders; manage dependencies and delivery risks.
 </li>
 <li>
 Effectively communicate project status, risks, and outcomes throughout the delivery lifecycle.
 </li>
 <li>
 Strong analytical thinking, problem-solving ability, and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Experience with dbt implementation or migration programs.
 </li>
 <li>
 Cloud certifications (Azure / AWS / GCP / Snowflake).
 </li>
 <li>
 Exposure to data governance, metadata management, lineage, and data quality frameworks.
 </li>
 <li>
 Experience working in regulated environments (Health Insurance, Healthcare, HIPAA).
 </li>
 <li>
 DevOps or DataOps certifications or hands-on exposure.
 </li>
 </ul>
 
 
</div>

Data Engineer

Mashreq

<div>
 We are looking for an Assistant Manager (Data Scientist) who can independently execute high‑quality Data Analytics, Data Science, and Engineering work within the AML domain. The role involves designing and developing machine learning, deep learning, graph analytics, and LLM/RAG‑based solutions to enhance AML detection, behavioral insights, and investigative intelligence. You will transform complex datasets into clear, actionable insights, and contribute to building production‑ready analytical assets that support AML operational and business decisions.
 
 You will work across AML, TM, Investigations, Technology, Cloud/Data Engineering, and Compliance teams, engaging with structured, semi‑structured, unstructured, and graph data in cloud‑native environments. The role requires strong analytical thinking, hands‑on modelling expertise, solid data engineering fundamentals, and adherence to MRM, CBUAE expectations, data governance, and internal standards.
 
 If you are passionate about applying advanced ML/GenAI techniques in a real‑world financial‑crime context and want to grow into a full‑stack data science leader, this role is an excellent opportunity.
</div>

Assistant Manager (Data Scientist) - AML D&A

Infinite Computer Solutions

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in data analysis or BI reporting roles.
 </li>
 <li>
 Strong SQL skills for data wrangling, transformation, and analytics (BigQuery, SQL Server, or similar).
 </li>
 <li>
 Power BI &ndash; Proven expertise in report development, DAX, modeling, and storytelling. Looker exp is a bonus.
 </li>
 <li>
 Excellent analytical thinking and ability to draw actionable insights from complex datasets.
 </li>
 <li>
 Strong communication skills &ndash; both written and visual &ndash; to engage stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Degree
 
 
 
 Range Of Year Experience-Min Year
 
 
 
 3
 
 
 
 Range Of Year Experience-Max Year
 
 
 
 9
</div>

Software Engineer

CodeGama

<div>
 
 
 Position:
 
 Digital Marketing Specialist
 
 
 
 Location:
 
 Bangalore (Work from Office)
 
 
 
 Experience:
 
 3 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for a
 
 Digital Marketing Specialist
 
 with
 
 3 years of experience
 
 to join our team in
 
 Bangalore
 
 . If you have expertise in
 
 SEO, Google Ads, social media marketing, and data analytics
 
 , this is the perfect opportunity for you!
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 ✔ Develop and execute
 
 digital marketing campaigns
 
 to drive brand awareness and lead generation.
 
 
 ✔ Manage and optimize
 
 Google Ads, Facebook Ads, and LinkedIn Ads
 
 for maximum impact.
 
 
 ✔ Conduct
 
 SEO strategies
 
 , keyword research, and website optimization to improve organic traffic.
 
 
 ✔ Handle
 
 social media content, engagement, and growth strategies
 
 across platforms.
 
 
 ✔ Analyze campaign performance using
 
 Google Analytics, GA4, and data-driven insights
 
 .
 
 
 ✔ Research industry trends and leverage
 
 AI-driven marketing techniques
 
 .
 
 
 ✔ Collaborate with design and content teams to create compelling marketing materials.
 
 
 
 
 
 
 Requirements:
 
 
 
 ✅
 
 3 years of experience
 
 in digital marketing.
 
 
 ✅ Strong knowledge of
 
 Google Ads, SEO, social media marketing, and analytics tools
 
 .
 
 
 ✅ Experience in
 
 competitor research, trend analysis, and content optimization
 
 .
 
 
 ✅ Ability to work independently and within a team.
 
 
 ✅ Strong presentation skills using
 
 PowerPoint
 
 .
 
 
 
 
 
 🎯
 
 Why Join Us?
 
 
 
 ✨ Competitive salary &amp; incentives
 
 
 ✨ Work with a creative and results-driven team
 
 
 ✨ Exposure to AI-powered marketing trends
 
 
 ✨ Career growth in a fast-paced company
 
 
 
 
 
 📩
 
 Apply Now:
 
 Send your resume to talent@codegama with the subject
 
 &ldquo;Digital Marketing Specialist - Bangalore&rdquo;
 
 .
 
</div>

Digital Marketing Executive

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Unacademy

<div>
 
 
 Performance Marketing Specialist
 
 | Unacademy
 
 
 
 Experience:
 
 1-2 Years
 
 
 
 Function:
 
 Performance Marketing
 
 
 
 Bengaluru | On-site -
 
 Domlur, Bangalore
 
 
 
 
 
 
 About Unacademy
 
 
 
 Unacademy is one of India&rsquo;s leading learning platforms, empowering millions of learners across
 
 online learning, offline centres, and test-prep platforms like PrepLadder
 
 . We operate in a fast-paced, high-ownership environment where data, experimentation, and impact drive growth.
 
 
 
 
 
 
 About the Role
 
 
 
 We&rsquo;re looking for a
 
 Performance Marketing Analyst
 
 to support and scale paid acquisition initiatives across Unacademy&rsquo;s growth ecosystem. This role is ideal for someone who enjoys working with
 
 data, dashboards, experimentation, and optimization
 
 and wants to grow in large-scale performance marketing.
 
 
 
 
 
 
 What You&rsquo;ll Work On
 
 
 <ul>
 <li>
 Analyze and optimize campaigns across
 
 Google, Meta, YouTube &amp; programmatic channels
 
 </li>
 <li>
 Track metrics such as
 
 CAC, ROAS, CTR, conversion rates &amp; revenue
 
 </li>
 <li>
 Build and maintain
 
 daily/weekly performance dashboards and MIS reports
 
 </li>
 <li>
 Support
 
 A/B testing, creative performance analysis, and funnel optimization
 
 </li>
 <li>
 Collaborate with Growth, Analytics, Creative &amp; Product teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 1-2 years of experience in
 
 Performance Marketing / Growth Analytics
 
 </li>
 <li>
 Hands-on experience with
 
 Google Ads &amp; Meta Ads
 
 </li>
 <li>
 Strong analytical skills with
 
 Excel / Google Sheets
 
 </li>
 <li>
 High attention to detail and a data-first mindset
 </li>
 <li>
 Ability to thrive in a
 
 fast-paced, high-ownership
 
 environment
 </li>
 <li>
 Strong academic background;
 
 graduates from Tier-1 / premier institutes are preferred
 
 </li>
 </ul>
 
 
 
 
 
 Why Join Unacademy?
 
 
 <ul>
 <li>
 Work on high-impact, large-scale growth campaigns
 </li>
 <li>
 Learn directly from senior performance marketing leaders
 </li>
 <li>
 Strong exposure to experimentation, analytics &amp; funnel strategy
 </li>
 <li>
 Clear growth path within the performance marketing function
 </li>
 </ul>
 
 
</div>

Performance Marketing Specialist

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