predictive analytics specialist

Deloitte

<div></div><div><div><div><div><div>Job requisition ID :: 88744
</div></div></div></div><div><div><div><div>Date: Oct 24, 2025
</div></div></div></div><div><div><div><div>Location: Delhi
</div></div></div></div><div><div><div><div>Designation: Senior Consultant
</div></div></div></div><div><div><div><div>Entity: Deloitte Touche Tohmatsu India LLP
</div></div></div></div><div><div><div><div><p>Predictive analytics experience - Python</p><p>
Data Science, AI/ML, Deep Learning</p><p>
Immediately available, Delhi Location</p><p>
Manufacturing industry experience</p></div></div></div></div></div><p></p>

Senior Consultant | AI / ML | Delhi | Engineering

PlusMinusOne

<div>
 <p>
  PlusMinusOne is a&nbsp;
  <strong>
   mobile startup studio
  </strong>
  &nbsp;that focuses on developing and marketing its own apps that are used and loved by millions of people around the world. Our products collectively reach&nbsp;
  <strong>
   more than a half-million new users every month in the US market alone
  </strong>
  . We are a remote-friendly startup with&nbsp;offices in&nbsp;
  <strong>
   San Francisco, Istanbul and Ankara.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We have been building mobile products focused on Business, Photo &amp; Video, and Education categories in the App Store mainly for the US market since 2016. And in each of these categories,&nbsp;
  <strong>
   our goal is the same:&nbsp;provide actual value to people with the best mobile user experience
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We're looking for a data-driven problem solver to help build our predictive analytics infrastructure from the ground up and drive user growth through data.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <span class="ql-cursor">
    ﻿
   </span>
   What we are looking for:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Degree in STEM or equivalent practical experience
  </li>
  <li>
   2+ years of work experience as a&nbsp;
   <strong>
    full-stack
   </strong>
   &nbsp;data scientist or analyst covering problem identification, raw data ingestion &amp; pipelining, predictive analytics, reporting &amp; communicating the insights
  </li>
  <li>
   Advanced proficiency in Python/PySpark, SQL, and Git
  </li>
  <li>
   Solid understanding of time series forecasting and classification models
  </li>
  <li>
   Experience with orchestration and BI tools
  </li>
  <li>
   User acquisition analytics, campaign optimization, and A/B testing experience (strong plus)
  </li>
  <li>
   Hands-on experience deploying ML models in production environments (strong plus)
  </li>
  <li>
   Experience with big data frameworks, Airflow, Tableau, Linux, or any data warehouse (strong plus)
  </li>
  <li>
   Background in mobile app or consumer product analytics (strong plus)
  </li>
  <li>
   Appreciation of team spirit
  </li>
  <li>
   Bias for action and ownership mentality
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your responsibilities will be:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, implement and manage scalable data pipelines by writing production-grade code and by using modern cloud technologies
  </li>
  <li>
   Lead LTV (Lifetime Value) prediction initiatives to optimize user acquisition strategies
  </li>
  <li>
   Build and maintain dashboards and self-serve analytics tools to help unlock the potential of data
  </li>
  <li>
   Collaborate with product and engineering teams to translate analytical insights into actionable features
  </li>
  <li>
   Analyze UA campaigns and implement LTV/MMM models to evaluate and optimize UA campaign performance
  </li>
  <li>
   Launch A/B tests at scale and provide actionable insights to relevant teams
  </li>
  <li>
   Leverage event data to perform funnel analysis, identify conversion bottlenecks, and increase user retention
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Opportunity to make an impact on millions of global users' life and the future of mobile
  </li>
  <li>
   Chance to be a part of a passionate and driven team where everyone&rsquo;s ideas are valued
  </li>
  <li>
   Working in an environment with a Silicon Valley startup culture and benefits
  </li>
  <li>
   A hybrid work environment with 3 days a week at the Kabata&scedil; Istanbul office
  </li>
  <li>
   14 days of paid vacation that starts from the first year of joining the team
  </li>
  <li>
   Quarterly profit sharing based on performance
  </li>
  <li>
   Ability to own a stock option after the first year
  </li>
  <li>
   Private health insurance package
  </li>
  <li>
   Reimbursement package for any education, course, etc.
  </li>
  <li>
   Reimbursement package for your sports activities
  </li>
  <li>
   A Macbook, iPhone, magic mouse, magic keyboard, and any other hardware that you need to deliver your best work.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Let's shape the future of mobile together!
  </strong>
 </p>
 <p>
  <br/>
 </p>
</div>


Data Scientist

Imbibe Consultancy Services Pvt Ltd

<div>
 <strong>
  Experience:
 </strong>
 7 to 12 years
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi
 <br/>
 <br/>
 <strong>
  Job code:
 </strong>
 101331
 <br/>
 <br/>
 <strong>
  Posted on:
 </strong>
 Sep 23, 2025
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
 <br/>
 <br/>
 We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.
  </li>
  <li>
   Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.
  </li>
  <li>
   Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.
  </li>
  <li>
   Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.
  </li>
  <li>
   Development of predictive models for debt management and reporting on optimal debt strategies.
  </li>
  <li>
   Insights and visual reports on the influence of external economic indicators and trends on national financial planning.
  </li>
  <li>
   Identification and documentation of additional use cases, along with
   <br/>
   <br/>
  </li>
 </ul>
 recommendations for refining and optimizing existing analytics models.
 <br/>
 <br/>
 <strong>
  Role Requirements And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python, R, or similar languages for machine learning.
  </li>
  <li>
   Hands-on experience with data platforms and cloud-based analytics.
  </li>
  <li>
   Strong understanding of public sector finance and economic modeling.
  </li>
  <li>
   Experience in dashboard development using Tableau is a plus.
  </li>
  <li>
   The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
  </li>
  <li>
   Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.
  </li>
  <li>
   Competitive compensation &amp; benefits, ESOPs and international assignments.
  </li>
  <li>
   Supportive environment with healthy work-life balance and a focus on employee well-being.
  </li>
  <li>
   Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position
</div>


Obase

<div>
 <p>
  We are looking for experienced and passionate Data Scientists to join our dynamic consultancy team, delivering cutting-edge Artificial Intelligence solutions across a wide range of industries including retail, banking, telecom and airlines.
 </p>
 <p>
  In this role, you will be responsible for designing and developing predictive and forecasting models using both classical statistical methods and modern machine learning techniques, while also contributing to LLM-based AI solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
  </li>
  <li>
   2+ years of experience in data science or applied machine learning with a focus on predictive analytics or forecasting
  </li>
  <li>
   Experience with demand forecasting, financial time series or capacity planning projects
  </li>
  <li>
   Proficient in Python or R and experienced with commonly used data science libraries and frameworks
  </li>
  <li>
   Strong command of SQL for data extraction, transformation, and analysis
  </li>
  <li>
   Hands-on experience with LLMs and NLP libraries (HuggingFace, LangChain, OpenAI API)
  </li>
  <li>
   Familiar with MLOps tools like MLflow, Docker, or Kubernetes
  </li>
  <li>
   Comfortable communicating with clients, understanding business needs, and presenting results to both technical and non-technical audiences
  </li>
  <li>
   Strong verbal and written communication skills in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and implementation of time series forecasting models
   </strong>
   (e.g. ARIMA, Prophet, LSTM, XGBoost) for demand prediction, sales forecasting and resource planning
  </li>
  <li>
   Lead the development and fine-tuning of LLM-based solutions for NLP tasks including text summarization, classification, conversational AI, and RAG (Retrieval-Augmented Generation)
  </li>
  <li>
   Conduct end-to-end data science workflows, including data cleaning, feature selection, transformation, and exploratory data analysis
  </li>
  <li>
   Collaborate with clients and stakeholders to understand business requirements and present data-driven insights clearly.
  </li>
  <li>
   Stay up-to-date with the latest trends in AI, ML, and LLM technologies and proactively bring them into projects
  </li>
  <li>
   Support the deployment of models into production environments in collaboration with engineering teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Obase &Ccedil;al&inodot;&scedil;an Aday&inodot;/Stajyer Aday&inodot; Ki&scedil;isel Verilerinin Korunmas&inodot; Ayd&inodot;nlatma ve A&ccedil;&inodot;k R&inodot;za Metni
  </u>
 </p>
</div>


Syngenta Group

<div><b>Company Description</b><p><br>
Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT &amp; Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology.</p><p>
Website address - https://www.syngentagroup.com/</p><b><br>
Job Description</b><p><b><br>
Role purpose
</b></p><ul><li>Support the development and deployment of AI, ML, and predictive analytics models in collaboration with senior data scientists</li><li>
Work as part of a Data Science team to integrate diverse data sources and enable data-driven decision-making across functional boundaries</li><li>
Contribute to innovative analytical solutions that help enable users and decision makers solve business problems and drive measurable outcomes</li></ul><p><b>
Accountabilities</b></p><ul><li>
Assist in building predictive models and analytics capabilities under guidance of senior team members</li><li>
Perform data analysis and exploratory data analysis (EDA) to develop fact-based insights and recommendations</li><li>
Support the integration of traditional (internal) and nontraditional (external) data sources into analytical workflows</li><li>
Contribute to data mining initiatives to extract insights from structured and unstructured data</li><li>
Conduct data cleaning, preprocessing, and validation to ensure data completeness and quality</li><li>
Work with unstructured datasets to identify patterns and emerging trends</li><li>
Document data sources, methodologies, and analytical processes</li><li>
Maintain data pipelines and support data integration activities</li><li>
Work with cross-functional teams (key users, engineers, domain experts) to understand problem statements and requirements</li><li>
Translate analytical findings into clear, actionable insights for non-technical audiences</li><li>
Participate in agile team ceremonies and contribute to sprint planning and execution</li><li>
Engage with business users to understand their needs and validate analytical approaches</li><li>
Participate in team knowledge-sharing sessions and training programs</li><li>
Learn industry best practices for statistical programming, modeling, and data visualization</li><li>
Build domain knowledge in relevant business areas (Marketing, Sales, Supply Chain, R&amp;D)</li></ul><p><b>
Critical success factors &amp; key challenges</b></p><ul><li><b>
Clear Communication:</b> Effectively convey analytical scope, limitations, and risks to business</li><li><b>
Data Completeness:</b> Ensure all essential information is captured and validated for analysis</li><li><b>
Business Applicability:</b> Deliver insights and models that directly address business goals and requirements</li><li><b>
User Engagement:</b> Build relationships with business users and demonstrate value through data-driven solutions</li><li><b>
Curate Documentation:</b> Keep and archive documentation following the establish good practices</li></ul><p><b>
Knowledge, experience, education &amp; capabilities</b></p><p>
Critical knowledge:</p><ul><li>
Understanding of fundamental data science algorithms including data cleaning, clustering, and pattern recognition</li><li>
Basic statistical analysis skills with ability to apply appropriate techniques to business problems</li><li>
Ability to translate business questions into analytical approaches with guidance</li><li>
Foundational programming skills in Python for data analysis and statistical modeling</li><li>
Understanding of data structures, algorithms, and basic software development principles</li><li>
Familiarity with data visualization techniques to communicate insights effectively</li></ul><p>
Critical experience:</p><ul><li>
Demonstrated experience with data analysis through internships, academic projects, capstone projects, or entry-level roles</li><li>
Hands-on experience with Python and Python Libraries (pandas, numpy, matplotlib/seaborn)</li><li>
Exposure to SQL and relational databases for data extraction and manipulation</li><li>
Basic understanding of statistical methods and machine learning concepts</li><li>
Experience working in team environments (academic group projects, internships, or collaborative work)</li></ul><br>
<b>
Qualifications</b><p><br>
Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science or related quantitative fields</p><b><br>
Additional Information</b><p><br>
Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.</p><p>
Follow us on: LinkedIn</p><p>
LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all</p></div>

Blue Ripples Technologies

<div><div><p>Job Information</p>
<ul><div><p>Assigned Recruiter(s)</p>
<div>Sreegiri R
</div></div><div><p>Date Opened</p>
<div>10/17/2025
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Work Experience</p>
<div>3-5 years
</div></div><div><p>City</p>
<div>Thiruvananthapuram
</div></div><div><p>State/Province</p>
<div>Kerala
</div></div><div><p>Zip/Postal Code</p>
<div>695001
</div></div><div><p>Country</p>
<div>India
</div></div></ul></div><div><p>About Us</p>
<div><div>Blue Ripples Technologies is a dynamic technology company that develops impactful software across multiple platforms. Established in 2012, we have a strong foundation in Digital Transformation with special focus on Legacy System upgrades. From enterprises to visionary new start-ups, we have been part of some powerful digital solutions that have transformed lives. Now, it&rsquo;s your turn.<br>
<br>
</div></div><p></p><p>Job Description</p>
<div><div>We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our projects. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems.</div><div></div><div><b><br>
Responsibilities</b></div><div></div><ul><li><br>
Data Analysis and Exploration</li></ul><div>
 o Analyze large, complex datasets to identify trends, patterns, and relationships.
<br>
 </div><div>o Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
<br>
 </div><div>o Utilize statistical methods and data visualization techniques to communicate findings effectively.</div><div></div><ul><li><br>
Predictive Modeling and Machine Learning</li></ul><div>
 o Handson experience in analyzing and developing forecasting models using timeseries data<br>
</div><div>
 o Develop and deploy predictive models using machine learning algorithms.<br>
</div><div>
 o Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance.<br>
</div><div>
 o Ensure that model always meet the relevant evaluation metrics.</div><div></div><ul><li><br>
Data Mining and Pattern Recognition</li></ul><div>
 o Apply data mining techniques to extract actionable insights from structured and unstructured data.<br>
</div><div>
 o Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize business processes.<br>
</div><div>
 o Implement clustering, classification, regression, and other machine learning algorithms as needed.</div><div></div><ul><li><br>
Experimentation and A/B Testing</li></ul><div>
 o Design and conduct experiments to test hypotheses and validate model assumptions.<br>
</div><div>
 o Implement A/B testing frameworks to evaluate the impact of changes and interventions.<br>
</div><div>
 o Analyze experimental results and provide recommendations for further optimization.</div><div></div><ul><li><br>
Collaboration and Communication</li></ul><div>
 o Excellent story telling and presentation skills<br>
</div><div>
 o Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders.<br>
</div><div>
 o Translate technical findings into actionable insights and recommendations for non-technical audiences.<br>
</div><div>
 o Present findings and proposals in clear, concise, and compelling ways.</div><div></div><p><br>
Requirements</p><ul><li>Bachelors or Masters in Computer Science or Statistics.
</li><li>3 to 5 years of proven experience in data science, machine learning, or predictive</li></ul><div>
analytics roles.<br>
</div><ul><li>Working knowledge in azure cloud platform is preffered</li><li>Proficiency in programming languages commonly used in data science (e.g., Python</li></ul><div>
etc).<br>
</div><ul><li>Strong understanding of statistical analysis, hypothesis testing, and experimental</li></ul><div>
design.<br>
</div><ul><li>Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit</li></ul><div>
learn, PyTorch, etc.).<br>
</div><ul><li>Familiarity with data visualization tools and techniques (e.g., Matplotlib etc.).</li><li>Excellent problem-solving and analytical skills with attention to detail.</li><li>Effective communication and collaboration abilities in a team environment.</li><li>Ability to manage multiple projects and prioritize tasks effectively.</li></ul><p><br>
Benefits</p><ul><li>Competitive salary and benefits.
</li><li>Opportunities for high-speed professional growth and development.</li><li>Collaborative and supportive work environment.</li><li>Medical insurance</li><li>OP Allowance</li><li>Statutory Benefits like PF, ESI, LWF, Gratuity</li><li>Training (Technical &amp; Soft skills)</li></ul></div></div></div><p></p>

Senior Data Scientist

Procter & Gamble

<div>
 <strong>
  Job Location
  <br/>
  <br/>
 </strong>
 Mumbai
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 P&amp;G was founded over 180 years ago as a simple soap and candle company. Today, we're the world&rsquo;s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
 <br/>
 <br/>
 <strong>
  Dedication from Us:
  <br/>
  <br/>
 </strong>
 You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship &ndash; work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment&ndash; employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
 <br/>
 <br/>
 <strong>
  Overview Of The Job
  <br/>
  <br/>
 </strong>
 Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
 <br/>
 <br/>
 Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
 <br/>
 <br/>
 <strong>
  Your team
  <br/>
  <br/>
 </strong>
 This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
 <br/>
 <br/>
 <strong>
  How Success Looks Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Enabling savings every year on base budget as per the masterplan
  </li>
  <li>
   Delivering touchless digital transformation masterplan and reapplying across the globe.
  </li>
 </ul>
 <li>
  <br/>
  <br/>
 </li>
 <strong>
  Responsibilities Of The Role
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provides technical leadership in supporting OU innovation projects.
  </li>
  <li>
   Acts as a key enabler in leading and delivering results against challenges.
  </li>
  <li>
   Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
  </li>
  <li>
   Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
  </li>
  <li>
   Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
  </li>
  <li>
   Work with process/equipment authorities and application developers to identify data relevant for analysis.
  </li>
  <li>
   Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
  </li>
  <li>
   Develop and maintain key data pipelines across selected sites globally
  </li>
  <li>
   Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
  </li>
  <li>
   Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
  </li>
  <li>
   Identify, diagnose, and resolve prognostics model performance issue.
  </li>
  <li>
   Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's in engineering/computer Sci
  </li>
  <li>
   Experience with Machine Learning Techniques
  </li>
  <li>
   Strong communication skills
  </li>
  <li>
   Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
  </li>
  <li>
   Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
  </li>
  <li>
   Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
  </li>
  <li>
   Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
  </li>
  <li>
   Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
  </li>
  <li>
   Experience in advance analytics, big data, machine learning.
  </li>
  <li>
   Experience in designing visualization to improve user experience and effective decision making
  </li>
  <li>
   Innovation Approach &ndash; Ability to assess business operations and find opportunities, then drive case
  </li>
  <li>
   Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
  </li>
  <li>
   Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
  </li>
  <li>
   IT Security &amp; Risk &ndash; In touch with modern IT security risks and principles.
  </li>
  <li>
   Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
  </li>
  <li>
   Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
   <br/>
   <br/>
  </li>
 </ul>
 We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide.
 <br/>
 <br/>
 Visit http://www.pg.com to know more.
 <br/>
 <br/>
 We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
 <br/>
 <br/>
 <em>
  <strong>
   &ldquo;At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
   <br/>
   <br/>
  </strong>
 </em>
 <em>
  <strong>
   All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
   <br/>
   <br/>
  </strong>
 </em>
 <strong>
  Job Schedule
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Job Number
  <br/>
  <br/>
 </strong>
 R000137873
 <br/>
 <br/>
 <strong>
  Job Segmentation
  <br/>
  <br/>
 </strong>
 Entry Level
</div>


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