predictive modeler

Kanz

<div>
 
 Company Description
 
 
 
 Kanz is partnering with hassan+wac to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
 
 
 Company Name: hassan+wac
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced statistical and machine learning techniques to transform complex data into actionable insights that drive business growth and innovation. You will work with diverse datasets to solve challenging business problems and contribute to strategic decision-making processes.
 
 
 
 Job Purpose
 
 
 
 The primary purpose of this Data Scientist role is to extract meaningful insights and actionable intelligence from complex, often unstructured data to solve business problems, drive strategic decisions, and create predictive models that optimize business outcomes and support data-driven decision making across the organization.
 
 
 
 Job Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 </li>
 </ul>
</div>

Data Scientist

FedEx

<div>
 Responsible for conducting in-depth analysis of complex datasets, deploying predictive models, applying optimization techniques, designing decision support systems, analyzing experiments, collaborating with cross-functional teams, staying abreast of advancements, and assessing the impact of data-driven decisions.
 
 
 Grade - ____
 
 
 Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
 
 
 
 What Your Main Responsibilities Are
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of complex data sets to uncover actionable insights and trends.
 </li>
 <li>
 Develop and deploy predictive models to forecast business outcomes and support decision-making processes.
 </li>
 <li>
 Apply optimization techniques to improve business processes and resource allocation.
 </li>
 <li>
 Design and implement decision support systems that enable stakeholders to make data-driven decisions.
 </li>
 <li>
 Design and analyze experiments to evaluate the effectiveness of business strategies and interventions.
 </li>
 <li>
 Collaborate with cross-functional teams and stakeholders to understand business requirements and priorities.
 </li>
 <li>
 Stay abreast of advancements in data science, machine learning, and decision science to enhance analytical capabilities.
 </li>
 <li>
 Assess the impact of data-driven decisions on key business metrics and outcomes and iterate on models and strategies accordingly.
 
 
 </li>
 </ul>
 Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD is preferred.
 
 
 Relevant work experience in decision science based on the following number of years:
 
 
 Standard I: Two (2) years
 
 
 Standard II: Three (3) years
 
 
 Senior I: Four (4) years
 
 
 Senior II: Five (5) years
 
 
 
 Knowledge, Skills And Abilities
 
 
 
 <ul>
 <li>
 Fluency in English
 </li>
 <li>
 Analytical Skills
 </li>
 <li>
 Accuracy &amp; Attention to Detail
 </li>
 <li>
 Numerical Skills
 </li>
 <li>
 Planning &amp; Organizing Skills
 </li>
 <li>
 Presentation Skills
 </li>
 <li>
 Statistical and Mathematical Knowledge
 </li>
 <li>
 Data Modeling and Visualization Skills
 </li>
 <li>
 Programming Skills
 
 
 </li>
 </ul>
 FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone.
 
 
 All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances.
 
 
 Our Company
 
 
 FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World&rsquo;s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
 
 
 Our Philosophy
 
 
 The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
 
 
 Our Culture
 
 
 Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970&rsquo;s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today&rsquo;s global marketplace.
</div>

Decision Scientist I

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Primary Responsibilities:<ul><li>
Analyze large, complex datasets to uncover patterns, trends, and actionable insights</li><li>
Design, build, and evaluate predictive and prescriptive ML models to improve business outcomes</li><li>
Apply statistics, machine learning, simulation, and advanced mathematics to solve complex problems</li><li>
Develop innovative analytical approaches and prototype data‑driven solutions for product improvement</li><li>
Collaborate with cross‑functional teams to translate business needs into scalable analytical solutions</li><li>
Interpret and communicate analytical results to stakeholders with clear insights and recommendations</li> 
<li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul>
Required Qualifications:<ul><li>
Bachelor's degree or equivalent experience</li><li>
Experience in designing and evaluating advanced algorithms for complex business problems</li><li>
Experience in Statistics, probability, hypothesis testing</li><li>
Experience in Machine Learning: regression, classification, clustering</li><li>
Experience in feature engineering and model evaluation</li><li>
Experience in data wrangling from large, complex datasets</li><li>
Solid foundation in statistics, machine learning, data modeling, and advanced mathematics</li><li>
Proficiency in Python, R, SQL, and analytical/ML frameworks such as Hadoop or similar tools</li><li>
Proven solid problem‑solving skills with the ability to interpret data and provide actionable insights</li><li>
Demonstrated ability to analyze large, unstructured datasets and build predictive/prescriptive models</li><li>
Demonstrated ability to work with cross‑functional teams and communicate analytical findings clearly</li><li>
Advanced Skills:<ul><li>
Working with data engineers for productionization</li><li>
Model Explainability and bias detection</li><li>
Proven predictive and prescriptive modeling</li></ul></li></ul> 
Preferred Qualification:<ul><li>
Advanced Skill:<ul><li>
Time‑series, NLP</li></ul></li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</div>

Senior Data Scientist

Citi

<div>TTS Analytics C10
What do we do?<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>
ROLE DESCRIPTION<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>
QUALIFICATIONS
Experience:<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>
Skills:
Analytical Skills:<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>
Tools and Platforms:<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>
Soft Skills:<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>
-
Job Family Group:
Decision Management
-
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
-
Time Type:
Full time
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
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. 
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 Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

SWITS DIGITAL Private Limited

<div>
 
 Job Description : Data Scientist / AI Specialist
 
 
 
 Location: Chennai,
 
 
 Experience: 5&ndash;7 Years
 
 
 
 Role Overview
 
 
 
 As a Data Scientist/AI Specialist, you will be the primary engine for discovering hidden
 
 
 insights and building predictive models that drive business value. You are responsible
 
 
 for the entire analytical lifecycle&mdash;from identifying patterns in raw data to implementing
 
 
 complex models in production. You will bridge the gap between abstract data and
 
 
 actionable business strategy through advanced statistics, NLP, and Computer Vision.
 
 
 
 Key Responsibilities
 
 
 
  Advanced Model Development: Design and build high-performance predictive
 
 
 models and machine learning algorithms to solve complex analytical problems.
 
 
  Business Intelligence: Translate raw data patterns into business insights using
 
 
 Power BI to drive executive decision-making.
 
 
  Validation &amp; Training: Conduct rigorous model training and validation to ensure
 
 
 accuracy, reliability, and ethical AI standards.
 
 
  Requirement Analysis: Work closely with stakeholders to understand business
 
 
 pain points and design technical solutions that capture value.
 
 
  Documentation: Maintain thorough documentation of data experiments, model
 
 
 versions, and logic for seamless knowledge transfer
 
 
 
 Core Competencies (The Skillet)
 
 
 
 <ul>
 <li>
 Analytics &amp; Specialization
 
 
 </li>
 </ul>
  Algorithms: Mastery of advanced statistics and ML algorithms (Regression,
 
 
 Clustering, Decision Trees, Neural Networks).
 
 
  NLP &amp; Vision: Specialized experience in Natural Language Processing (Text
 
 
 mining, sentiment analysis) and Computer Vision (Object detection, image
 
 
 classification).
 
 
  Modeling: Expertise in feature engineering and data modeling to ensure high-
 
 
 quality "fuel" for AI.
 
 
 <ul>
 <li>
 Tools &amp; Platforms
 
 
 </li>
 </ul>
  Languages: Expert-level proficiency in Python (Pandas, Scikit-learn) or R.
 
 
  Environments: Extensive experience using Jupyter Notebooks for
 
 
 experimentation and Azure ML Studio for production-grade deployments.
 
 
  Visualization: Ability to build interactive dashboards in Power BI to
 
 
 communicate insights to non-technical teams.
 
 
 <ul>
 <li>
 Business &amp; Strategy
 
 
 </li>
 </ul>
  Insight Discovery: Proven ability to look at unstructured data and find
 
 
 opportunities for cost savings or revenue growth.
 
 
  Solution Design: Ability to define the architecture of a data science project
 
 
 before writing a single line of code.
</div>

AI Data Scientist

Chasra Solutions

Position ID:34887- Data Science and Machine Learning SpecialistPosition Description: Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc. Key Responsibilities: 1) Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making 2) Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making 3) Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends 4) Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation 5) Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Skills Required: Python, Statistics, SQL, Machine Learning Skills Preferred: LLM, cloud, GCP Experience Required: Specialist Exp: 5+ experience in relevant field Education Required: Bachelor's Degree, Master's Degree Education Preferred: Master's Degree Additional Safety Training/Licensing/Personal Protection Requirements: Additional Information :For Details Email: jeesi.chasrasol@gmail.comPhone: 9490030165Job Type: Full-timePay: ₹588,288.78 - ₹1,862,958.27 per yearWork Location: In person

Position ID:34887- Data Science and Machine Learning Specialist

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
Key Responsibilities 
<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> 
<div></div>

Required Qualifications 
<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> 

Preferred Qualifications 
<ul><li>Preferred Qualifications &ndash;</li><li>Experience with Power BI / Tableau</li><li>Experience in predictive modeling / machine learning</li></ul>
About Our Company
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.
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.
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.
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.<div><div><div><div><div><div><div>
Full-Time/Part-Time</div></div></div></div></div></div></div>
Full time<div><div><div><div><div><div><div>
Timings</div></div></div></div></div></div></div>
(2:00p-10:30p)<div><div><div><div><div><div><div>
India Business Unit</div></div></div></div></div></div></div>
AWMPO AWMP&amp;S President's Office<div><div><div><div><div><div><div>
Job Family Group</div></div></div></div></div></div></div>
Data</div>

Data Analyst IND

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Data Scientist

Decision Scientist I

Senior Data Scientist

Data Scientist

AI Data Scientist

Position ID:34887- Data Science and Machine Learning Specialist

Data Analyst IND