data science analyst

Numerator

<div><p><b>We&rsquo;re reinventing the market research industry. Let&rsquo;s reinvent it together.</b></p>
<p>
At Numerator, we believe tomorrow&rsquo;s success starts with today&rsquo;s market intelligence. We empower the world&rsquo;s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.</p>
<p>Data Science Analyst, Triage<br>
<br>
Numerator is a data and technology company reinventing market research. Headquartered in Chicago, IL,<br>
Numerator has over 1,600 employees worldwide. The company blends proprietary data with advanced<br>
technology to create unique insights for the market research industry. The majority of Fortune 100 companies<br>
are Numerator clients. What are you waiting for, join us on this amazing journey!<br>
<br>
Numerator is looking for a Data Science Analyst to join our growing Data Business Operations team. This is<br>
a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that<br>
handles millions of requests and massive amounts of events, and other data. In this position, you will be<br>
responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling<br>
environment.<br>
<br>
This Data Science Analyst position is a data quality oriented role that creates value and drives impact across<br>
the Product organization. The role is cross-functional by nature and is responsible for investigating pressing<br>
data issues surfaced by both internal and external clients and identifying the root cause so that we can<br>
collaboratively move towards a solution. The ideal candidate has analytical experience, with an understanding<br>
of data transformations and data queries.<br>
Responsibilities:</p>
<div>
Forensic Data Analysis<br>
<ul><li>Isolate underlying root causes of data integrity issues across product and platform</li><li>Communicate technical findings to our non-technical consultants in an approachable,</li></ul>
understandable manner<br>
<ul><li>Coordinate with engineers and technical team members to resolve bugs and creatively resolve</li></ul>
root causes<br>
<ul><li>Work closely with panel science team to coordinate product-side fixes arising from data science</li></ul>
design<br>
<br>
Internal Product Development<br>
<ul><li>Partner with Product and Engineering team members on complex data projects</li><li>Identify commonalities among root cause and develop efficiency-building products to streamline</li></ul>
forensic data analysis to isolate bugs more quickly<br>
<ul><li>Present developed products to first and second tier stakeholders</li><li>Transfer ownership of complex projects from data scientists and handoff built projects to more</li></ul>
junior team members<br>
<br>
</div><div><p><b>There is strength in numbers - We are the Numerati</b></p>
<p>
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.</p>
<p>
Being part of the Numerati means that we&rsquo;ll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more &mdash; we&rsquo;re always finding ways to better support, celebrate and accelerate our team.</p>
</div>
<p><b><i>What You Can Expect from Your Intern Experience</i></b><br>
<i>
</i><br>
<i>You&rsquo;ll play an active role as a member of a dynamic team of supportive and highly motivated employees and leaders. From day one, you&rsquo;ll be set up for success with your NuIntern buddy, who will be a key partner throughout your internship. Numerator&rsquo;s onboarding program will introduce you to your new colleagues, immerse you into our culture, and provide you with resources to thrive.</i><br>
<i>
</i><br>
<i>Expect to make an impact on real projects, business challenges, clients, and our global teams. Interact and engage with colleagues in person at our cool headquarters, designed to further inspire innovation, creativity, and collaboration. You'll also have the opportunity to participate in local events, Hack Days, networking, and workshops.</i><br>
<b><i>Internship dates: June 9th to August 8th, 2025</i></b></p>
 BS in Analytics, Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral<br>
and/or equivalent quantitative science<br>
<ul><li>Exceptional stakeholder skills; previous experience with stakeholder management is a plus</li><li>Business intelligence or comparable analytic experience, including proficiency with BI tools such</li></ul>
as Tableau, Looker, or Power BI.<br>
<ul><li>2+ years of SQL experience with demonstrated advanced capabilities (Transactions and DDL,</li></ul>
table self joins, Multipass SQL).<br>
<ul><li>Proven ability to: work in a team environment, produce results independently, solve complex</li></ul>
problems, exhibit strong judgment, lead and manage in a fluid work environment<br>
<ul><li>Ideal: Knowledge of the software development life-cycle and the role of product in it
</li></ul><p><i>We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by the law.</i></p>
<p><i>
While some roles can be remote, Numerator is only able to hire in many, but not all, states and provinces. In certain cases, if you are not located in a specific area where Numerator is able to hire, you may not be eligible for employment</i><i>.</i></p></div>

Data Science Analyst, Triage

McKinsey & Company

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 <br/>
 <br/>
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 <br/>
 <br/>
 When you join us, you will have:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
  <li>
   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Science Analyst you will work with the Insights &amp; Analytics group and consulting teams at McKinsey, helping solve analytically complex client problems in the marketing domain, applying and administrating analytical/modeling tools and techniques and drawing insights through statistical techniques and predictive modeling.
 <br/>
 <br/>
 The primary role of the Analyst will be client service with additional responsibilities in knowledge development.
 <br/>
 <br/>
 <strong>
  Your key activities as a Data Science Analyst will include
 </strong>
 : performing general statistical analysis and modeling in client engagements for marketing efforts; developing statistical models to measure and optimize pricing and promotions; providing guidance to teams on analytics projects related to technique/modeling related issues; supporting development and maintenance of proprietary McKinsey marketing techniques and other knowledge development projects; coaching and mentoring new hires by sharing business, functional and technical expertise; and delivering high quality end products on time, performing quality checks wherever required.
 <br/>
 <br/>
 You&rsquo;ll work with Growth, Marketing &amp; Sales team in Gurgaon/Bengaluru primarily supporting the Insights &amp; Analytics (IA) group of GM&amp;S.
 <br/>
 <br/>
 Growth, Marketing &amp; Sales team leverages decades of McKinsey&rsquo;s marketing and sales experience helping leading companies improve pricing, promotion, assortments, and performance management. The combination of software, tailored services, and expertise provides our clients with a granular view of their commercial and financial performance by gathering and integrating their landscape of data and information into a central data warehouse. Clients can use our intuitive interface to make decisions based on advanced analytics and can embed new pricing, commercial, and performance management capabilities throughout their organization.
 <br/>
 <br/>
 GM&amp;S Solutions fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for &ndash; and expands our investment in &ndash; our entrepreneurial culture. Through innovative software as a service solution, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
 <br/>
 <br/>
 As one of the fastest-growing parts of our firm, McKinsey Solutions has more than 1,000 dedicated professionals (including more than 800 analysts and data scientists) and we&rsquo;re hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in disciplines such as computer science, applied statistics, mathematics, engineering, or related fields
  </li>
  <li>
   2+ years of deep technical experience in advanced analytics, statistics, and machine learning
  </li>
  <li>
   Hands-on experience in building, training, and optimizing predictive models, with the ability to interpret and evaluate results
  </li>
  <li>
   Knowledge of hypothesis testing and experimental designs (e.g., A/B testing) is preferred, as these are often used for investigations and recommendations
  </li>
  <li>
   Advanced expertise in Python, with strong command over key libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn; familiarity with Kedro is a plus
  </li>
  <li>
   Proven ability to work efficiently with large datasets, including tasks such as data cleaning, transformation (feature engineering), and analysis, while ensuring data quality and integrity
  </li>
  <li>
   Proficiency in SQL, with the ability to write intermediate-level queries for data extraction and transformation
  </li>
  <li>
   Strong understanding of cloud platforms, particularly AWS and/or Azure Databricks
  </li>
  <li>
   Familiarity with data visualization tools such as Tableau or Power BI, as well as version control systems like Git, is highly desirable
  </li>
  <li>
   Intermediate expertise in Excel, not only for presenting outputs but also for building basic models to support scenario analysis and decision-making
  </li>
  <li>
   Excellent presentation and communication abilities, with the capacity to explain complex analytical concepts and insights to both technical and non-technical audiences
  </li>
 </ul>
</div>


Data Science Analyst - Periscope

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Senior Data Science Analyst - Qatari Nationals only
</div></div><div><div>Ref #
</div><div>212062
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 08-Sep-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About the role (Qatari Nationals Only)</b></p>
<p>As a Senior Data Science Analyst, you will be responsible to lead a team of analysts to design and build analytics methodologies, solutions and products to deliver value where data is the basis for solutions. Balance numerous facets of data including, for example, technical distinctions across sets of data, maths and statics, software such as machine learning and connect them to business context and value by developing strategies and processes.</p>
<p>Other key responsibilities are:</p>
<ul><li> Plans strategies to operationalize revenue managements goals of applying more data, science and technology to deliver results to meet revenue targets including RASK.</li></ul>
<ul><li> Leads a team of analysts to deliver reliable, on time, revenue management and commercial data to reduce the time between a data point being generated and its usefulness to the business. Build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analysis including data exploration and data modelling. Build and track a list of data sources available within the company and understand interrelations between different datasets to drive value.</li></ul>
<ul><li> Translates sophisticated data science concepts in an understandable and meaningful manner to help the business adopt and transform.</li></ul>
<ul><li> Works with traditional revenue management data sources including for example pricing, inventory and market share, bringing skills in computer science, artificial intelligence statistics and machine learning to deliver solutions to deliver revenue.</li></ul>
<ul><li> Interprets the requirements of Revenue Management and other stakeholders, analysts and specialists to develop efficient and reliable solutions that to improve the quality of machine and analyst decisions to delivery revenue</li></ul>
<ul><li> Collaborate with IT stakeholders, data analysts lead IT investigations from within the Organisation to create synergies and, where possible and applicable, adopt common tools and technologies to analyse digital value</li></ul>
<ul><li> Compile statistical/supporting data to communicate findings, critical information and insights to business and make relevant recommendations to adapt existing business strategies.</li></ul>
<ul><li> Provide comprehensive reports with recommendation for management review and decision making. Working with IT and the Business, assesses and report on the benefits of data science tools, solutions and results to contribute to future investment or business case decisions.</li></ul>
<ul><li> Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths in order to propose solutions and strategies to new data processing challenges. Evaluate and problem solve through data analysis by working closely with colleagues to identify data related problems and mend where necessary.</li></ul>
<ul><li> Identify challenges and opportunities gained from the analysis and conclude cases by proposing business improvement solutions. Use and apply modern development tools and write code to deliver data enabled solutions that drive personalization.</li></ul>
<ul><li> Seeks improvements in data storage and processing and contributes to implementation plans for data lake and cloud storage solutions.</li></ul>
<ul><li> Understands Data Science as an evolving field, working with departmental leadership to continuously seek out new solutions to deliver a competitive advantage.</li></ul>
<ul><li> Develops constructive and collaborative relationships with other areas of Commercial and IT to supports the vision to deliver 5 star connections with our customers every time</li></ul>
<ul><li> Work closely with Senior Data Science Analysts to build solutions.</li></ul>
<ul><li> As a problem solver, works with other RM team members to understand business challenges, applying analytical curiosity to go beyond immediate requirements to find undiscovered insights that, through the use of data will deliver on the commercial and revenue management vision.</li></ul>
<ul><li> Guide the RM organization towards to ultimate goal of increased revenue by supporting the managers with convincing evidence.</li></ul>
<p><b>Be part of an extraordinary story</b></p>
<p>Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p>
<p>Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p>
<p>Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Qualifications</b></p>
<p><b>About You</b></p>
<p>We are looking for a passionate and experienced professional to join the Revenue Management Team.</p>
<ul><li> Bachelor&rsquo;s degree or Master&rsquo;s degree in related disciplines such as Mathematics and Statistics, Computer Science or Engineering is essential</li></ul>
<ul><li> 6+ years of job-related experience</li></ul>
<ul><li> Expert understanding of statistics, operations research, forecasting and optimization methods</li></ul>
<ul><li> Very good understanding of the airline business process. This includes Network Planning and Scheduling, e-commerce, Marketing and Sales</li></ul>
<ul><li> Excellent communication and negotiation skills. Command of English language</li></ul>
<ul><li> Expert understanding of IT related topics.</li></ul>
<p><b>About Qatar Airways Group</b></p>
<p>Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p>
<p>So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p>
<p><b>How to Apply</b></p>
<p>If you are interested to submit your application and feel you are a good fit for this role, please complete our application form and upload your CV for our review and consideration.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=212062</div></div></div></div></div></div></div></div>

Senior Data Science Analyst - Qatari Nationals only

Accenture

<div><p><b>Job Title -</b> <b>Decision Science Practitioner Analyst S&amp;C GN</b></p><p><b>
Management Level: Analyst
</b></p><p><b>Location: </b><b>Bangalore/ Kolkata/</b><b>Gurugram/Hyderabad</b></p><p><b>
Must have skills: </b>Generative AI</p><p><b>
Good to have skills: </b><b>Data Science</b></p><p><b>
Job Summary:
</b></p><p>We are seeking a highly skilled and motivated <b>Data Science Analyst </b>to lead innovative projects and drive impactful solutions in domains such as <b>Consumer Tech</b>, <b>Enterprise Tech</b>, and <b>Semiconductors</b>. This role combines <b>hands-on technical expertise</b>, and <b>client delivery management</b> to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.</p><p><b><br>
Key Responsibilities</b></p><p><b>
Generative AI Expertise</b></p><ul><li>
Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.</li><li>
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)</li><li>
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.</li><li>
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus</li></ul><p><b>
Cloud Platform Expertise</b></p><ul><li>
Implement scalable data science workflows on <b>Azure</b> or <b>AWS</b> for marketing, supply chain, or sales analytics projects.</li><li>
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).</li></ul><p><b>
Data Science and Engineering</b></p><ul><li>
Perform advanced analytics using <b>Python</b>, <b>SQL</b>, and machine learning frameworks like TensorFlow or PyTorch.</li><li>
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.</li><li>
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.</li></ul><div></div><p><b>
Required Qualifications</b></p><ul><li><b>
Experience: </b>2+ years in data engineering/data science</li><li><b>
Education: </b>B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field</li></ul><p><b>
Technical Skills</b></p><ul><li><b>
Programming:</b> Proficiency in <b>Python</b>, <b>SQL</b>, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).</li><li><b>
GenAI Expertise:</b> Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents</li><li><b>
Cloud Platforms:</b> Experience with <b>Azure</b> and/or <b>AWS</b> in data science workflows.</li><li><b>
Data Science Tools:</b> Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
GenAI &amp; LLM Tooling : LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)</li><li>
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.</li></ul><p><b>
Preferred Skills</b></p><ul><li>
Experience in decision science projects focused on <b>marketing</b>, <b>supply chain</b>, or <b>sales</b>.</li><li>
Strong analytical and problem-solving skills with a results-oriented mindset.</li><li>
Excellent communication and stakeholder management capabilities.</li></ul><div><b><br>
Additional Information:
</b><br>
<ul><li>The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients</li></ul></div><ul><li>This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.</li></ul><p>
About Our Company | Accenture</p></div><p></p>
<br>
<div><p><b>Experience: </b>2+ years in data science</p><p><b>
Educational Qualification: B tech, </b>M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field</p></div>

S&C Global Network - AI - Hi Tech - Data Science Analyst

PepsiCo

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 <br/>
 <br/>
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
  </li>
  <li>
   Active contributor to code &amp; development in projects and services
  </li>
  <li>
   Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
  </li>
  <li>
   Partner with ML engineers working on industrialization.
  </li>
  <li>
   Communicate with business stakeholders in the process of service design, training and knowledge transfer.
  </li>
  <li>
   Support large-scale experimentation and build data-driven models.
  </li>
  <li>
   Refine requirements into modelling problems.
  </li>
  <li>
   Influence product teams through data-based recommendations.
  </li>
  <li>
   Research in state-of-the-art methodologies.
  </li>
  <li>
   Create documentation for learnings and knowledge transfer.
  </li>
  <li>
   Create reusable packages or libraries.
  </li>
  <li>
   Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
  </li>
  <li>
   Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
  </li>
  <li>
   Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
  </li>
  <li>
   Automate ML models deployments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BE/B.Tech in Computer Science, Maths, technical fields.
  </li>
  <li>
   Overall 2-4 years of experience working as a Data Scientist.
  </li>
  <li>
   2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
  </li>
  <li>
   2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
  </li>
  <li>
   Fluent in SQL syntaxis.
  </li>
  <li>
   2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
  </li>
  <li>
   2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
  </li>
  <li>
   Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
  </li>
  <li>
   Programming Skills - Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
  </li>
  <li>
   Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
  </li>
  <li>
   Cloud (Azure) - Experience in Databricks and ADF is desirable
  </li>
  <li>
   Familiarity with Spark, Hive, Pig is an added advantage
  </li>
  <li>
   Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
  </li>
  <li>
   Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
  </li>
  <li>
   Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
  </li>
  <li>
   Experience in Reinforcement Learning is a plus.
  </li>
  <li>
   Experience in Simulation and Optimization problems in any space is a plus.
  </li>
  <li>
   Experience with Bayesian methods is a plus.
  </li>
  <li>
   Experience with Causal inference is a plus.
  </li>
  <li>
   Experience with NLP is a plus.
  </li>
  <li>
   Experience with Responsible AI is a plus.
  </li>
  <li>
   Experience with distributed machine learning is a plus
  </li>
  <li>
   Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
  </li>
  <li>
   Model deployment experience is a plus
  </li>
  <li>
   Experience with version control systems like GitHub and CI/CD tools
  </li>
  <li>
   Experience in Exploratory data Analysis
  </li>
  <li>
   Knowledge of ML Ops / DevOps and deploying ML models is preferred
  </li>
  <li>
   Experience using MLFlow, Kubeflow etc. will be preferred
  </li>
  <li>
   Experience executing and contributing to ML OPS automation infrastructure is good to have
  </li>
  <li>
   Exceptional analytical and problem-solving skills
  </li>
  <li>
   Stakeholder engagement-BU, Vendors.
  </li>
  <li>
   Experience building statistical models in the Retail or Supply chain space is a plus
  </li>
 </ul>
</div>


Data Science Assoc Analyst

Citi

<div><p>The Data Science Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.</li><li>
Mines and analyzes data from various banking platforms to drive optimization and improve data quality.</li><li>
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time &amp; effort required and establish a project plan.</li><li>
Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives.</li><li>
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.</li><li>
Leads system change process from requirements through implementation; provides user and operational support of application to business users.</li><li>
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards.</li><li>
Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.</li><li>
Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.</li><li>
Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.</li><li>
Performs other duties and functions as assigned.</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul><p><b><br>
Qualifications:</b></p><ul><li>
5-8 years experience in business and data analysis, process improvement and project management</li><li>
Ability to effectively use complex analytical, interpretive and problem solving techniques.</li><li>
Demonstrated interpersonal, verbal and written communication skills.</li><li>
Methodical attention to detail</li><li>
Experience using tools for statistical modeling of large data sets</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelor&rsquo;s/University degree or equivalent experience</li></ul><p></p><p><br>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p></p><p>
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Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Data Science<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Data Science Senior Analyst - Assistant Vice President

Capgemini Engineering

<div>
 <p>
  <strong>
   Data Scientist / Analyst
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Chennai
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  4 to 10 years
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Data Scientist / Analyst, you will play a key role in modeling vessel behavior, analyzing fleet health, and supporting sustainability metrics through advanced analytics and machine learning. You will work with large datasets and cloud-based tools to deliver predictive insights and contribute to operational efficiency and environmental goals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   In this role, you will:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Model vessel behavior and operational patterns using statistical and machine learning techniques
  </li>
  <li>
   Analyze fleet health to identify trends, anomalies, and areas for improvement
  </li>
  <li>
   Develop predictive maintenance and anomaly detection models
  </li>
  <li>
   Support sustainability initiatives by modeling and tracking relevant environmental metrics
  </li>
  <li>
   Utilize AWS services such as SageMaker and Athena for scalable data processing and analysis
  </li>
  <li>
   Write efficient data queries and scripts using Python, R, and SQL
  </li>
  <li>
   Collaborate with cross-functional teams to translate business needs into analytical solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Profile
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   8&ndash;10 years of experience in data science, analytics, or a related field
  </li>
  <li>
   Proficiency in Python, R, and SQL for data analysis and modeling
  </li>
  <li>
   Experience with machine learning techniques including predictive maintenance and anomaly detection
  </li>
  <li>
   Hands-on experience with AWS SageMaker and Athena
  </li>
  <li>
   Strong understanding of sustainability metrics and their application in analytics
  </li>
  <li>
   Excellent analytical thinking and problem-solving skills
  </li>
  <li>
   Ability to communicate insights clearly to technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Love About Working Here
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Flexible work arrangements and a supportive work-life balance
  </li>
  <li>
   Inclusive and collaborative culture with opportunities for growth
  </li>
  <li>
   Access to cutting-edge technologies and certifications
  </li>
  <li>
   Opportunity to contribute to sustainability-focused and high-impact projects
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Capgemini
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transformation to address the evolving needs of customers and citizens. With a strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs&mdash;from strategy and design to operations.
 </p>
 <p>
  To achieve this, Capgemini draws on the capabilities of its 360,000 team members in more than 50 countries, all driven by the purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization with market-leading capabilities in digital, cloud, and data.
 </p>
 <p>
 </p>
</div>


Data Scientist / Analyst

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