machine learning analyst

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div><div><div><div>AI/ML Expertise:<br>
<br>
Understanding of AI agents and their integration with Large Language Models (LLMs).<br>
<br>
Experience in model evaluation and comparison (e.g., GPT-4.1 vs GPT-5 reasoning models).<br>
<br>
Ability to perform prompt engineering and fine-tuning for better results.<br>
<br>
<br>
Key Skills:<br>
<br>
Azure ML, Azure Kubernetes (AKS), Azure Storage/Data Lake, AI Capabilities<br>
<br>
Python for ML scripting<br>
<br>
Familiarity with data engineering workflows &amp; Responsible AI principles</div>
</div><br>
</div></div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>395648</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

AIML

Citi

<div><p><b>TTS Analytics C10
</b></p><p></p><p><b>What do we do?</b></p><ul><li>
The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury &amp; Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth &amp; improvements in client experience.</li><li>
The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models &amp; other solutions, and designs go-to-market strategies for a huge variety of business problems.</li></ul><p></p><p>
ROLE DESCRIPTION</p><ul><li>
The role will be Spec Analytics Analyst 2 (C10) in the TTS Analytics team</li><li>
The role will report to the AVP leading the team</li><li>
The role will involve working on multiple analyses through the year on business problems across the client life cycle &ndash; acquisition, engagement, client experience and retention &ndash; for the TTS business</li><li>
This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile &amp; engagement data, transactions &amp; revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights to business and functional stakeholders</li></ul><p></p><p>
QUALIFICATIONS</p><p></p><p><b>
Experience:</b></p><p></p><ul><li>
Bachelor&rsquo;s Degree with 3+ years of experience in data analytics, or Master&rsquo;s Degree with 2+ years of experience in data analytics, or PhD.</li><li>
Must have:
<ul><li>In-depth knowledge of machine learning is must across variety of algorithms, like regression, tree based methods etc.</li><li>
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.</li><li>
Predictive modeling using Machine Learning</li><li>
Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining</li></ul></li><li>
Good to have:<ul><li>
Experience in financial services</li><li>
Deep learning and Gen AI exposure</li><li>
Proficiency in Gen AI tools like Copilot etc.</li></ul></li></ul><p></p><p><b>
Skills:</b></p><p><b>
Analytical Skills:</b></p><ul><li>
Proficient in data science and machine learning concepts and must have experience in implementing the knowledge in actual industry projects</li><li>
Proficient in formulating analytical methodology, identifying trends and patterns with data</li><li>
Has the ability to work hands-on to retrieve and manipulate data from big data environments</li></ul><p></p><p><b>
Tools and Platforms:</b></p><ul><li>
Proficient in Python/R, SQL</li><li>
Experience in Hive</li><li>
Proficient in MS Excel, PowerPoint</li><li>
Good to have:<ul><li>
Experience with PySpark</li><li>
Experience with Tableau</li></ul></li></ul><p></p><p><b>
Soft Skills:</b></p><ul><li>
Strong analytical and problem-solving skills</li><li>
Excellent communication and interpersonal skills</li><li>
Be organized, detail oriented, and adaptive to matrix work environment</li></ul><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<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>
-</p><p><i>
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 Scientist

KNAV US

<div>
 <strong>
  About KNAV
  <br/>
  <br/>
 </strong>
 KNAV is a global accounting and consulting firm experienced in all phases to offer a complete suite of public accounting services including set-up, accounting, assurance, taxation, international transfer pricing and business advisory services, as also to facilitate seamless business growth through mergers &amp; acquisitions. The workplace is rapidly evolving in the age of Industry 4.0. The emergence of new technologies like Robotics Process Automation and Artificial Intelligence has a consequential impact on the services that KNAV gives its end clients and how we choose to harness new technologies in our quest to boost the quality and cost of our services. To help improve our performance and add more value to our clients, KNAV endeavours to use the most advanced AI, machine learning, and analytics technologies. KNAV offers challenging work with potential to grow your career.
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 We are seeking a highly motivated
 <strong>
  Data Analyst / Data Scientist
 </strong>
 with
 <strong>
  2&ndash;4 years of experience
 </strong>
 in analytics and applied AI/ML. The role requires both independent ownership of analytical tasks and effective collaboration with finance, IT, and cross-functional teams.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Apply data analytics and machine learning techniques to solve business problems and support decision-making.
  </li>
  <li>
   Write optimized SQL queries and work with relational databases to extract, transform, and analyze data.
  </li>
  <li>
   Use data analytics and visualization tools to perform data cleaning, synthetic data generation, modelling, analysis, and visualization.
  </li>
  <li>
   Design, develop, and maintain dashboards and reports using Power BI and similar tools.
  </li>
  <li>
   Analyse large datasets to identify trends, patterns, and anomalies to support insights generation.
  </li>
  <li>
   Collaborate with finance and IT stakeholders to gather reporting requirements and convert them into analytical solutions or dashboards.
  </li>
  <li>
   Document analytical processes, insights, and project outcomes clearly and concisely.
  </li>
  <li>
   Support embedding of analytical reports into full-stack applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in SQL (MS SQL /MySQL/ PostgreSQL).
  </li>
  <li>
   Strong Python programming skills with experience in libraries such as NumPy, Pandas, Matplotlib, Scikit-learn and Random Forest.
  </li>
  <li>
   Hands-on experience with Power BI dashboard creation.
  </li>
  <li>
   Knowledge of MS Excel, Recharts library for React (nice to have).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Analytical &amp; Professional Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical thinking and problem‑solving abilities.
  </li>
  <li>
   High attention to detail with the ability to detect data patterns and anomalies.
  </li>
  <li>
   Ability to work independently and as part of a team.
  </li>
  <li>
   Strong communication skills for working effectively with finance, IT, and business stakeholders.
  </li>
  <li>
   Ability to translate business requirements into technical solutions.
  </li>
 </ul>
</div>


Data Analyst / Data Scientist

Markon

<div>Description:
<div>
Markon is seeking a Multi-INT Integration Analyst to support our NRO client from Chantilly, VA.</div>
Responsibilities:
<div>
The ideal Multi-INT Integration Analyst will be responsible for (but not limited to) the following tasks:</div><ul><li><div>
Analyze and integrate multi-INT data sources to support national intelligence priorities and operational challenges</div></li><li><div>
Collaborate with R&amp;D, analytical partnerships, and subject matter experts to inform technical assessments and solutions</div></li><li><div>
Leverage commercial technology, leading-edge expertise, and research and development capabilities to define future intelligence collection best practices</div></li><li><div>
Partner with organizational elements including Mission Partners, IC partners, and tool SMEs to optimize the employment of IC resources</div></li><li><div>
Support activity-based intelligence and operations analysis through the deployment of advanced data products</div></li><li><div>
Integrate data engineering, visualization, machine learning, and advanced fusion techniques to enable decision advantage</div></li><li><div>
Assist in the planning, execution, and evaluation of research demonstrations, capability testing, and model automation across ISR domains</div></li><li><div>
Work closely with analysts, operators, and mission planners to ensure a holistic approach to intelligence fusion</div></li></ul>
Qualifications:
<div><b>
Required:</b></div><div><i>
Entry-Level:</i></div><ul><li><div>
0&ndash;3 years of experience with a Bachelor&rsquo;s in Intelligence, Data Science, Computer Science, or a related field</div></li><li><div><b>
OR</b> 7 years of related experience with a High School Diploma/GED</div></li><li><div><b>
OR</b> 5 years of related experience with an Associate degree</div></li></ul><div><i>
Intermediate-Level:</i></div><ul><li><div>
4&ndash;7 years of experience with a Master&rsquo;s in a related field</div></li><li><div><b>
OR</b> 10 years of related experience with a High School Diploma/GED</div></li><li><div><b>
OR</b> 8 years of related experience with an Associate degree</div></li><li><div><b>
OR</b> 6 years of related experience with a Bachelor&rsquo;s degree</div></li></ul><div><i>
Senior-Level:</i></div><ul><li><div>
8+ years of experience with a Doctorate in a related field</div></li><li><div><b>
OR</b> 16 years of related experience with a High School Diploma/GED</div></li><li><div><b>
OR</b> 14 years of related experience with an Associate degree</div></li><li><div><b>
OR</b> 12 years of related experience with a Bachelor&rsquo;s degree</div></li><li><div><b>
OR</b> 10 years of related experience with a Master&rsquo;s degree</div></li></ul><div>
AND</div><ul><li><div>
Active Top Secret/SCI clearance with a Counter-Intelligence Polygraph</div></li><li><div>
Experience in multi-INT disciplines and capabilities across the DoD and Intelligence Community</div></li><li><div>
Prior experience as a SIGINT, GEOINT, or All-Source Intelligence Analyst</div></li><li>
Familiarity with the NRO&rsquo;s and DoD&rsquo;s national and tactical space architectures</li><li>
Strong understanding of multi-INT capabilities and their application to national security</li><li>
Ability to travel</li></ul><div><b>
Desired:</b></div><ul><li><div>
Master&rsquo;s or PhD in Intelligence, Data Science, Computer Science, or a related field</div></li><li><div>
Experience with data engineering, visualization, machine learning, and big data analytics</div></li><li><div>
Ability to problem-solve in a dynamic, fast-paced environment and interface directly with customers</div></li><li><div>
Experience demonstrating NRO capabilities to IC, DoD, and federal civilian partners</div></li><li><div>
Proven experience applying advanced analytical techniques to complex data sets</div></li></ul>
Salary Range: USD $120,000.00 - USD $220,000.00 /Yr.<br>
<br>
The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Overview:
<div>
Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.</div><div></div><div><br>
At Markon, we don't just offer jobs &ndash; we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.</div><div></div><div><br>
Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.</div><div></div><div><br>
Markon values people and the tremendous impact each individual can make &ndash; which is why we&rsquo;re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation&rsquo;s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters &ndash; bringing out the best in each other to advance our clients&rsquo; missions.<br>
<br>
Join us and make a meaningful impact.</div><div></div><div><br>
Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.</div><div></div><div><b><br>
Benefits Offered</b>: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays</div></div><div></div>

Multi-INT Integration Analyst

Vertiv

<div><p><b>POSITION SUMMARY
</b></p><ul><li>The <b>Sales Data Science &amp; AI Enablement Analyst </b>is an entry ‑ level role designed for early ‑ career talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AI ‑ enabled solutions for Sales Operations. Under the guidance of senior team members, the analyst contributes to model development, data preparation, feature engineering, and quality assurance, while learning Vertiv&rsquo;s analytics platforms, engineering standards, and governance practices.
</li></ul><p><b>RESPONSIBILITIES
</b></p><ul><li><b>Advanced Analytics &amp; AI Support
</b><ul><li>Assist in developing, testing, and refining analytics and AI models for Sales use cases.
</li><li>Contribute to exploratory data analysis, feature engineering, and model evaluation.
</li><li>Document model logic, assumptions, and testing results in alignment with team standards.
</li></ul></li><li><b>Data Preparation &amp; Engineering Support
</b><ul><li>Prepare, clean, and transform datasets using Python, SQL, and Snowflake.
</li><li>Support integration of new data sources into analytical workflows.
</li><li>Build reusable scripts, templates, and basic automation components under supervision.
</li></ul></li><li><b>Platform &amp; Tooling Enablement
</b><ul><li>Learn and apply Vertiv&rsquo;s analytics technology stack, including Python, Git, Linux environments, Snowflake, Matillion, Sigma, and Power BI.
</li><li>Follow engineering standards for version control, documentation, and code quality.
</li><li>Support senior team members in maintaining shared analytical assets, semantic layers, and reusable patterns.
</li></ul></li><li><b>Quality, Testing &amp; Governance
</b><ul><li>Execute validation checks and contribute to analytics quality assurance processes.
</li><li>Identify anomalies or data quality issues and escalate appropriately.
</li><li>Help ensure analytics deliverables meet reliability and governance expectations.
</li></ul></li><li><b>Cross </b><b>‑ </b><b>Team Collaboration
</b><ul><li>Collaborate with Sales analytics teams to understand data requirements and support analytical solution development.
</li><li>Participate in code reviews, working sessions, and technical discussions.
</li><li>Communicate findings clearly and professionally to team members and partners.
</li></ul></li></ul><p><b>QUALIFICATIONS
</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
</li><li>0-3 years of foundational experience with Python, SQL, data science, and machine learning concepts (coursework, internships, or projects).
</li><li>Familiarity with version control (Git) and data platforms (Snowflake, or similar).
</li><li>Strong analytical mindset with curiosity and willingness to learn enterprise analytics technologies.
</li><li>Demonstrated attention to detail and commitment to producing high ‑ quality work.
</li><li>Ability to work collaboratively and communicate effectively with technical and non ‑ technical stakeholders.
</li></ul><p><b>PHYSICAL &amp; ENVIRONMENTAL DEMANDS
</b></p><ul><li>No special physical requirements.
</li></ul><p><b>TIME TRAVEL REQUIRED
</b></p><ul><li>No travel required.
</li></ul><p><i>The successful candidate will embrace Vertiv&rsquo;s Core Principals &amp; Behaviors to help execute our Strategic Priorities.
</i></p><p><b><i>OUR CORE PRINCIPALS: </i></b><i>Safety. Integrity. Respect. Teamwork. Diversity &amp; Inclusion.
</i></p><p><b><i>OUR STRATEGIC PRIORITIES
</i></b></p><ul><li><i>Customer Focus
</i></li><li><i>Operational Excellence
</i></li><li><i>High-Performance Culture
</i></li><li><i>Innovation
</i></li><li><i>Financial Strength
</i></li></ul><p><b><i>OUR BEHAVIORS
</i></b></p><ul><li><i>Own It
</i></li><li><i>Act With Urgency
</i></li><li><i>Foster a Customer-First Mindset
</i></li><li><i>Think Big and Execute
</i></li><li><i>Lead by Example
</i></li><li><i>Drive Continuous Improvement
</i></li><li><i>Learn and Seek Out Development
</i></li></ul><p>At Vertiv, we offer the stability of a global leader in a growing industry <i>and </i>the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
</p><p><i>Vertiv is an Equal Opportunity/Affirmative Action employer. </i><i>We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to </i><i>help.join@vertivco.com </i><i>. If you are interested in applying or learning more about this role, please visit the company&rsquo;s career page located on Vertiv.com/Careers.
</i></p><p><b><i>Work Authorization
</i></b></p><p><i>No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.</i></p></div>

Sales Data Science & AI Enablement Analyst

AES Corporation

<p></p><div><p>Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation (NYSE: AES), a <b>Fortune 500 company</b> that's leading the charge in the global energy revolution. With operations spanning <b>14 countries</b>, AES is committed to shaping a future through innovation and collaboration. Our dedication to innovation has earned us recognition as one of the <b>Top Ten Best Workplaces for Innovators</b> by Fast Company in 2022. And with our certification as a <b>Great Place to Work</b>, you can be confident that you're joining a company that values its people just as much as its groundbreaking ideas.</p><p></p><p>
AES is proudly <b>ranked #1 globally</b> in renewable energy sales to corporations, and with <b>$12.7B in revenues in 2023</b>, we have the resources and expertise to make a significant impact as we provide electricity to <b>25 million customers worldwide. </b>As the world moves towards a net-zero future, AES is committed to meeting the Paris Agreement's goals by 2050. Our innovative solutions, such as <b>24/7 carbon-free energy</b> for data centers, are setting the pace for rapid, global decarbonization.</p><p></p><p>
If you're ready to be part of a company that's not just adapting to change, but driving it, AES is the place for you. We're not just building a cleaner, more sustainable future - we're powering it. Apply now and energize your career with a true leader in the global energy transformation.</p><p></p><div><div><p>
At AES, our commitment to a sustainable future drives us to explore the frontier of artificial intelligence. As pioneers in clean energy, we harness data, analytics, and cutting-edge agentic AI (autonomous intelligent agents) to optimize operations, anticipate challenges, and accelerate the transition to zero carbon. Joining our Renewables Data, AI &amp; Analytics team means entering an innovative environment where you will help shape next-generation intelligent systems for energy.</p></div><p></p><div><p><b>
Role Overview</b></p></div><div><p>
We are seeking a strategic and technically capable <b>Analyst, Data &amp; AI Solutions</b> to support the design, development, and deployment of AI/ML and agentic AI initiatives across the Clean Energy business. This role blends data science expertise with business analysis and stakeholder engagement, enabling the organization to accelerate AI-driven innovation while reducing the operational burden on leadership.</p></div><div><p>
The ideal candidate will be able to identify and document AI/ML project requirements, contribute to solution development, and lead strategic conversations with stakeholders. This position is critical to shaping the early stages of AI initiatives and supporting the creation of strategic presentations, standards, and processes.</p></div><p></p><div><p><b><br>
Key Responsibilities</b></p></div><div><ul><li><p><b>
AI/ML Requirements Gathering:</b> Collaborate with stakeholders across engineering, operations, and business teams to capture and document requirements for AI/ML and agentic AI projects. Translate business needs into technical specifications and use cases.</p></li></ul></div><div><ul><li><p><b>
Solution Development Support:</b> Assist in prototyping and developing AI/ML models and intelligent agents using platforms such as Microsoft Copilot Studio, Python, and cloud-based tools (Azure, GCP). Support integration of AI solutions into operational workflows.</p></li></ul></div><div><ul><li><p><b>
Stakeholder Engagement:</b> Lead or support strategic meetings with internal teams to ideate AI use cases, present solution options, and align initiatives with business goals. Act as a liaison between technical teams and business units.</p></li></ul></div><div><ul><li><p><b>
Strategic Presentation &amp; Documentation:</b> Prepare executive-level presentations, reports, and documentation that summarize project scope, value, and progress. Support the Data &amp; AI Solutions Manager in communicating standards, processes, and strategic roadmaps.</p></li></ul></div><div><ul><li><p><b>
Responsible AI &amp; Governance:</b> Uphold principles of Responsible AI including fairness, transparency, and safety. Ensure solutions comply with internal governance frameworks and ethical standards.</p></li></ul></div><div><ul><li><p><b>
Monitoring &amp; Iteration:</b> Track performance of deployed AI/ML solutions and agents. Collect feedback, monitor KPIs, and assist in iterative improvements to enhance business impact.</p></li></ul></div><p></p><div><p><b><br>
Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or a related field.</p></li></ul></div><div><ul><li><p>
1&ndash;2 years of experience in data science, machine learning, or AI (including internships or academic projects).</p></li></ul></div><div><ul><li><p>
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch); familiarity with SQL and data visualization tools (e.g., Power BI).</p></li></ul></div></div><div><div><ul><li><p>
Exposure to agentic AI platforms (e.g., Microsoft Copilot Studio, Google AgentSpace) is a plus.</p></li></ul></div><div><ul><li><p>
Strong communication and interpersonal skills; able to explain technical concepts to non-technical audiences and capture business requirements effectively.</p></li></ul></div><div><ul><li><p>
Demonstrated ability to work cross-functionally and manage multiple priorities.</p></li></ul></div><div><ul><li><p>
Certifications in AI/ML, data analytics, or Responsible AI are desirable.</p></li></ul></div><p></p><div><p><b><br>
Preferred Attributes</b></p></div><div><ul><li><p>
Experience with prompt engineering or working with large language models (LLMs).</p></li></ul></div><div><ul><li><p>
Familiarity with cloud platforms (Azure, GCP) and enterprise data environments.</p></li></ul></div><div><ul><li><p>
Strategic mindset with a passion for innovation and continuous learning.</p></li></ul></div><div><ul><li><p>
Ability to work independently and proactively in a fast-paced environment.</p></li></ul></div></div><p></p>
AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.<p></p>
The expected salary for this position, at commencement of employment, is between $73,000 and $88,400/Annual; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements such as annual bonus, in addition to a full range of medical, dental, vision, life, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.</div><p></p>

Analyst, Data & AI Solutions

Ameriprise Financial

<div>We are looking for a driven individual with analytical mindset who is ready for an immersive, real-world experience. You should be a motivated team player who can maintain efficiency and accuracy when multitasking. To be a strong candidate for an this role, you should possess strong quantitative, analytical, programming, communication and problem-solving skills. You should be collaborative, trustworthy, receptive to feedback, and eager to learn. The candidate will be required to spend majority of time on ad-hoc analytics and reporting with occasional opportunities for advanced analytics projects<p></p><b>
Key Responsibilities</b><br>
<div>
Working with Analytics internal teams and business partners to define and document business requirements</div><ul><li>Translating business requirements into Solutions</li><li>Perform and deliver on complex ad-hoc business analysis requests</li><li>Develop predictive models to support varied business objectives, as needed</li><li>Development and execution of reports for program tracking, model validation, and other information-based solutions support</li><li>Translate analytic output into understandable and actionable business knowledge</li><li>Engage US counterparts to ensure solutions are appropriate as per business requirement and level of readiness</li><li>Coordinate and prioritize business needs in a matrix management environment</li><li>Documentation and communication of results and recommendations to external and internal teams</li><li>Ensuring maintenance of requisite quality standards</li></ul><br>
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Required Qualifications</b><br>
<ul><li>Required Qualifications &ndash; Engineering Degree (BE/ BTECH) or Master Degree in Economics / Mathematics / Operation Research or PG in Data Science/ML from a reputed institute</li><li>1-3 years of experience in analytics</li><li>Strong Python/SAS programming and data manipulation skills</li><li>Strong quantitative/analytical/programming and problem-solving skills</li><li>Excellent knowledge of MS Excel, Power point and Word</li><li>Strong and consistent academic performance</li><li>Highly motivated self-starter with excellent verbal and written communication skills</li><li>Ability to work effectively in a team environment on multiple projects and drive results through direct and in-direct influence</li><li>Candidate should be willing to learn SAS</li></ul><br>
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Preferred Qualifications</b><br>
<ul><li>Preferred Qualifications &ndash;</li><li>Experience with Power BI / Tableau</li><li>Experience in predictive modeling / machine learning</li></ul><p><b>
About Our Company</b></p><p>
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm&rsquo;s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.</p><p></p><p>
Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You&rsquo;ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.</p><p></p><p>
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.</p><p></p><p>
We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.</p><p></p><div><div><div><div><div><div><div><p><b>
Full-Time/Part-Time</b></p></div></div></div></div></div></div></div>
Full time<p></p><div><div><div><div><div><div><div><p><b>
Timings</b></p></div></div></div></div></div></div></div>
(2:00p-10:30p)<p></p><div><div><div><div><div><div><div><p><b>
India Business Unit</b></p></div></div></div></div></div></div></div>
AWMPO AWMP&amp;S President's Office<p></p><div><div><div><div><div><div><div><p><b>
Job Family Group</b></p></div></div></div></div></div></div></div>
Data</div>

Data Analyst IND

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