data science analyst

Skylink Distributions (Pvt.) Ltd

<p>The ideal candidate should have <b>3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems</b>, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.</p><p><b>Key Responsibilities</b></p><p><b>Data Management &amp; Analysis</b></p><ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul><p><b>Data Visualization &amp; Reporting</b></p><ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul><p><b>Leadership &amp; Strategy</b></p><ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul><p><b>Data Engineering &amp; Infrastructure Collaboration</b></p><ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul><p><b>Cross-Functional Collaboration</b></p><ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul><p><b>ERP &amp; Business Intelligence Integration</b></p><ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul><p><b>Core Competencies</b></p><ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Science Analyst

<div></div><div><div><div><div><ul><div>7 - 9 Years</div>
<div></div><div>1 Opening</div>
 <div>Trivandrum</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
 <div><p>Job Description for Senior Data Analyst:</p>
<div>
<ul><li><b>8+ years of professional experience</b> as a Data Analyst, Product Analyst, or similar role.</li>
<li><b>Deep hands on experience with Amplitude</b> behavioral analytics, funnels, experiments, cohorts, journeys, retention analysis, etc.</li>
<li>Strong statistical and analytical capability (A/B testing, hypothesis testing, segmentation).</li>
<li>Strong SQL skills and experience working with large datasets.</li>
<li>Experience with data visualization tools (Power BI, Tableau, Looker or similar).</li>
<li>Ability to turn raw data into clear stories and actionable recommendations.</li>
<li>Excellent written and verbal communication skills.</li>
<li>Highly analytical mindset with attention to detail.</li>
<li>Strong problem solving skills and sense of ownership.</li>
<li>Ability to work in a fast paced, collaborative environment.</li>
<li>Passion for product thinking and continuous improvement.</li>
<li><b>Product &amp; User Analytics</b></li>
<li><ul><li>Leverage <b>Amplitude</b> to analyze user behavior, product funnels, retention, activation, and engagement trends.</li>
<li>Build and maintain dashboards, cohorts, behavioral reports, and custom event analytics.</li>
<li>Work with product managers to identify opportunities for improving user experience and product adoption.</li>
</ul><h3 class="jobSectionHeader"><b>Data Insights &amp; Decision Support</b></h3>
<ul><li>Translate complex data findings into actionable insights for business and product stakeholders.</li>
<li>Conduct deep-dive analyses to uncover trends, anomalies, and strategic opportunities.</li>
<li>Present insights in a clear, structured manner to leadership and cross-functional teams.</li>
</ul><h3 class="jobSectionHeader"><b>Data Management &amp; Quality</b></h3>
<ul><li>Own end to end data validation, event instrumentation requirements, and governance for product analytics.</li>
<li>Collaborate with engineering teams to ensure accurate data tracking, schema design, and event taxonomy.</li>
</ul><h3 class="jobSectionHeader"><b>Metrics &amp; Reporting</b></h3>
<ul><li>Define key product metrics (KPIs) and establish robust reporting mechanisms.</li>
<li>Build automated reports and dashboards using Amplitude and BI tools (Power BI/Tableau/Looker).</li>
</ul><h3 class="jobSectionHeader"><b>Cross Functional Collaboration</b></h3>
<ul><li>Work closely with Product, UX, Engineering, Marketing, and Leadership teams to drive data-informed decisions.</li>
<li>Communicate findings effectively to both technical and non-technical stakeholders.</li>
</ul>
</li></ul></div></div><h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data analytics,sql,amplitude,data visualization,</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Lead II - Data Science - Data Analyst

Ameriprise Financial

<div>We're looking for a highly motivated and detail-oriented Data Analysis to join our dynamic team. This is a fantastic opportunity to gain hands-on experience in data analysis, machine learning, and cutting-edge technologies like Large Language Models (LLMs). You'll work closely with our data science and business teams to extract valuable insights from complex datasets and contribute to impactful projects.<p></p><p>
Role:</p><ul><li>The analyst would support EDAI Products Analytics team for data science initiatives</li><li>Work closely with business leaders in US, and India counterparts to understand business problems, finalize scope, propose solutions and handle end-to-end execution</li><li>Support ongoing initiatives related to reporting, predictive models in development and data exploration</li><li>Build strong business relationships with business partners, stakeholders, Technology teams to ensure smooth execution and delivery of BAU projects</li></ul><p></p><p><br>
Key Responsibilities:</p><ul><li>Assist in collecting, cleaning, and processing large datasets using SQL and Python.</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.</li><li>Develop, maintain, and enhance interactive dashboards using tools like Tableau or Power BI to communicate key metrics.</li><li>Support the development and implementation of basic machine learning models.</li><li>Help in evaluating and experimenting with Large Language Models (LLMs) for data-related tasks, support key GenAI initiatives</li><li>Collaborate with team members to present data-driven insights and recommendations to stakeholders.</li></ul><p></p><p><br>
Qualifications:</p><ul><li>Education: Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Master&rsquo;s degree is preferred.</li></ul><p></p><ul><li><br>
Experience: 1-3 year of experience in data analysis through internships, academic projects, or coursework.</li></ul><p></p><p><br>
Technical Skills:</p><ul><li>Strong proficiency in SQL for querying and manipulating data from relational databases.</li><li>Solid programming skills in Python, including experience with libraries such as Pandas and NumPy.</li><li>Hands-on experience creating dashboards and visualizations using Tableau or Power BI.</li><li>Basic knowledge of Machine Learning concepts and algorithms (e.g., regression, classification, clustering).</li><li>A foundational understanding of Large Language Models (LLMs) and their potential applications.</li></ul><p></p><p><br>
Soft Skills:</p><ul><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication and teamwork skills.</li><li>A proactive attitude with a strong desire to learn and take initiative.</li></ul><p></p><p><br>
Good to Have</p><ul><li>Basic knowledge of financial domains, including markets, instruments, or accounting principles.</li><li>Experience with cloud platforms like AWS, Google Cloud.</li><li>Familiarity with version control systems like Git</li></ul><p></p><p><b><br>
About Our Company</b><br>
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm&rsquo;s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. 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, veteran status, marital status, family status or any other basis prohibited by law.</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

Anblicks

<div><div><b>Mid Level Data Analyst - Healthcare</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experience: 5+ Years</b></div><div></div><div><b>
Job Description</b></div><div>
At <b>Anblicks</b>, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Anblicks&rsquo; business.</div><div>
As part of the Data Sciences &amp; Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, come up with modeling requirements, applying creativity to test hypotheses, prepare &amp; automate data preparation processes, build models, analyze and visualize results and integrate the solution into innovative data products.</div><div></div><div><b>
What You Will Do:</b></div><ul><li><ul><li>
Research and develop an understanding of Anblicks products, tools, and processes</li><li>
Assist with the validation and delivery of products or improvements</li><li>
Prepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets</li><li>
Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clients</li><li>
Monitor model performance and adjust models as directed by team leads and senior data scientists</li><li>
Perform analysis and maintenance on existing models &amp; data products as well as the recalibration or re-development of data products</li><li>
Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation</li><li>
Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profile reports</li><li>
Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation</li><li>
Offer ideas for product and/or process improvements such as automation related to focus area of work</li><li>
Utilize data and partner with data scientists to develop and build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications</li><li>
Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputs</li></ul></li></ul><div></div><div><b>
What You Will Need:</b></div><ul><li><ul><li>
Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language</li><li>
3&ndash;5 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions</li><li>
4 years experience with distributed computing &ndash; Spark, Hive. Experience with Snowflake is a plus</li><li>
2&ndash;3 years of experience in Linux, shell scripting and/or similar scripting languages for automation</li><li>
Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models</li><li>
Ability to quality control model development and productionization process</li><li>
Bachelor&rsquo;s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience</li><li>
Ability to work independently when given detailed specification and instruction</li><li>
At least 2 years experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)</li><li>
At least 2 years of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark</li><li>
Standout colleague, flexible, and creative</li><li>
Attention to detail and time management delivering high quality work while meeting deadlines</li><li>
Experience working with large datasets</li><li>
Experience with Tableau, Microsoft Excel, and PowerPoint</li></ul></li></ul><div></div><div><b>
What Will Set You Apart:</b></div><ul><li><ul><li>
Snowflake Data Analyst certification and health data experience</li><li>
Knowledge of Deep Learning and Neural Network-based modeling frameworks</li><li>
Familiarity with cloud environments (e.g., AWS, Google Cloud Platform, Azure etc.)</li></ul></li></ul></div>

Mid Level Data Analyst - Healthcare

Kenvue

<div>
 <strong>
  Kenvue Is Currently Recruiting For A:
  <br/>
  <br/>
 </strong>
 Analyst, Data Science
 <br/>
 <br/>
 <strong>
  <strong>
   What We Do
   <br/>
   <br/>
  </strong>
 </strong>
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
 <br/>
 <br/>
 <strong>
  <strong>
   Who We Are
   <br/>
   <br/>
  </strong>
 </strong>
 Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 <br/>
 <br/>
 <strong>
  <strong>
   Role Reports To:
   <br/>
   <br/>
  </strong>
 </strong>
 Digital Solutions Manager
 <br/>
 <br/>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 Asia Pacific, India, Karnataka, Bangalore
 <br/>
 <br/>
 <strong>
  Work Location:
  <br/>
  <br/>
 </strong>
 Hybrid
 <br/>
 <br/>
 <strong>
  <strong>
   What You Will Do
   <br/>
   <br/>
  </strong>
 </strong>
 Kenvue is currently recruiting for:
 <br/>
 <br/>
 <strong>
  Analyst, Data Science [Forecasting]
  <br/>
  <br/>
 </strong>
 This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
 <br/>
 <br/>
 <strong>
  <strong>
   Who We Are
   <br/>
   <br/>
  </strong>
 </strong>
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 <br/>
 <br/>
 <strong>
  Role reports to:
 </strong>
 Manager, Digital Solutions
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Bangalore, India
 <br/>
 <br/>
 <strong>
  Travel %:
 </strong>
 up to 10%
 <br/>
 <br/>
 <strong>
  <strong>
   What You Will Do
   <br/>
   <br/>
  </strong>
 </strong>
 A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
  </li>
  <li>
   Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
  </li>
  <li>
   Solid understanding of time-series forecasting techniques
  </li>
  <li>
   Good hands-on skills in both feature engineering and hyperparameter optimization
  </li>
  <li>
   Able to write clean and tested code that can be maintained by other software engineers
  </li>
  <li>
   Able to clearly summarize and communicate data analysis assumptions and results
  </li>
  <li>
   Able to craft effective data pipelines to transform your analyses from offline to production systems
  </li>
  <li>
   Self-motivated and a proactive problem solver who can work independently and in teams
  </li>
  <li>
   Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
  </li>
  <li>
   Is collaborative and engages (strategic &amp; tactical. Able to influence without authority, handle complex issues and implement positive change
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  What We Are Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
  </li>
  <li>
   2 &ndash; 3 years of total work experience as data scientist or analytical role, with at least 1 project in time series forecasting
  </li>
  <li>
   A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
  </li>
  <li>
   Hands on experience in Time Series Forecasting and Demand Planning
  </li>
  <li>
   Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
  </li>
  <li>
   Good hands-on skills in both feature engineering and hyperparameter optimization
  </li>
  <li>
   Experience producing high-quality code, tests, documentation
  </li>
  <li>
   Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization &amp; forecasting techniques, and / or deep learning methodologies
  </li>
  <li>
   Proficiency in statistical concepts and ML algorithms
  </li>
  <li>
   Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
  </li>
  <li>
   Self-motivated and a proactive problem solver who can work independently and in teams
  </li>
  <li>
   Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
  </li>
  <li>
   Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
  </li>
  <li>
   Experience in creating CI/CD pipelines for deployment using Jenkins.
  </li>
  <li>
   Experience implementing MLOPs framework along with understanding of data security
  </li>
  <li>
   Implementation on ML models
  </li>
  <li>
   Exposure to visualization packages and Azure tech stack.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What&rsquo;s In It For You
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Competitive Total Rewards Package*
  </li>
  <li>
   Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!
  </li>
  <li>
   Learning &amp; Development Opportunities
  </li>
  <li>
   Employee Resource Groups
  </li>
  <li>
   This list could vary based on location/region
  </li>
  <li>
   Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.
   <br/>
   <br/>
  </li>
 </ul>
 Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
 <br/>
 <br/>
 If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
</div>


Analyst, Data Science

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

Barclays

<div><p>Step into the role of Data Scientist within Financial Crime Operations, focusing on data analysis, insight generation, and model‑driven decision support across payment screening and sanctions processes. The role involves daily analysis of large‑scale transactional datasets, validation of data quality, identification of trends and outliers, and development of analytical outputs to support operational efficiency and risk mitigation. You will contribute to daily, weekly, and ad‑hoc analytics. The role also supports automation, MI reporting, and machine‑learning initiatives, working closely with operations, controls, and senior stakeholders to translate data into actionable insights.</p><p></p><p><b>
You may be assessed on key critical skills relevant for success in role such as:</b></p><ul><li><p>
Write high-quality code in Python and SQL to extract, transform and analyze</p></li><li><p>
Visualize various types of data using Power BI &amp; Tableau, constructing robust pipelines to combine multiple source.</p></li><li><p>
Create, build and maintain analytical tools through programming to generate insight, recognize patterns and predict behavior.</p></li><li><p>
Experiment and identify with various analytical methods\techniques best suited to data challenges.</p></li><li><p>
 Respond to ad-hoc requests and communicate the results of any analysis, trends, and MI to a range of audiences whilst effectively managing your workload.</p></li><li><p>
Have an active interest in all aspects of technological infrastructure - suggesting and helping to deliver concepts for more efficient processing across multiple technical disciplines.</p></li><li><p>
Develop an understanding of Financial Crime preventative measures, systems, and operational processes within Barclays.</p></li><li><p>
Support the delivery of automation initiatives in-line with the wider Group strategy.</p></li></ul><p></p><p><b>
Desirable skills sets:</b></p><ul><li><p>
Knowledge or Experience of Financial Crime Operations domain</p></li><li><p>
Working knowledge/Understanding of End-to-End payment flows</p></li><li><p>
Detail oriented with strong ownership of daily deliverables.</p></li><li><p>
Ability to manage tight deadlines with accuracy.</p></li><li><p>
Strong communication and coordination skills.</p></li></ul><p>
You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills.</p><p></p><p>
This role is based out of Pune.</p>
<p><b>
Purpose of the role</b></p><p>
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.</p><p></p><p><b>
Accountabilities</b></p><ul><li>
Identification, collection, extraction of data from various sources, including internal and external sources.</li><li>
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.</li><li>
Development and maintenance of efficient data pipelines for automated data acquisition and processing.</li><li>
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.</li><li>
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.</li><li>
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.</li></ul><p></p><p><b>
Analyst Expectations</b></p><ul><li>
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.</li><li>
Requires in-depth technical knowledge and experience in their assigned area of expertise</li><li>
Thorough understanding of the underlying principles and concepts within the area of expertise</li><li>
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.</li><li>
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</li><li>
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.</li><li>
Will have an impact on the work of related teams within the area.</li><li>
Partner with other functions and business areas.</li><li>
Takes responsibility for end results of a team&rsquo;s operational processing and activities.</li><li>
Escalate breaches of policies / procedure appropriately.</li><li>
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.</li><li>
Advise and influence decision making within own area of expertise.</li><li>
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.</li><li>
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.</li><li>
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Make evaluative judgements based on the analysis of factual information, paying attention to detail.</li><li>
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.</li><li>
Guide and persuade team members and communicate complex / sensitive information.</li><li>
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.</li></ul><p></p><p>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</p></div>

Data Scientist

Search 10000+ Data science analyst jobs near you this March. New roles added regularly across leading industries. Apply today.