data science leader

Kantar

<div><div>We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.</div><div></div><div>
To start a career that is out of the ordinary, please apply...</div><div></div><div>
Job Details</div><div>
Lead Data Scientist</div><div>
Chennai, India</div><div></div><div>
KANTAR (<div>www.kantar.com</div>) is the world's leading marketing data and analytics company. We understand how people think, feel, shop, share, vote and view more than anybody else. With over 25,000 people, we combine the best of human understanding with sophisticated technologies to help the world's leading organizations, succeed and grow.</div><div></div><div>
We are searching for a dynamic Data Science leader to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. This position offers an outstanding opportunity to lead and develop some of the most exciting and challenging AI-led projects for Kantar and its clients, and make an impact in a fast-paced, entrepreneurial environment.</div><div>
As a leader you will be responsible for collaborating with the Chief AI Scientist and the Executive Committee to build an outstanding portfolio of AI-led solutions within KANTAR, employing the latest developments in AI/ML. You will engage in several R&amp;D efforts to demonstrate and develop new capabilities, algorithms, and technologies across the entire breadth of data science, including but not limited to Generative AI. Subsequently, you will work closely with Engineering, Product, Operations, and Commercial teams to scale and commercialize the products and solutions you develop.</div><div>
In this role, you are accountable for the process of translating potential AI, ML and other data science ideas into concrete, scalable products. You will work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted strengths of data scientists. As part of the global data science and innovation team, you will serve as a representative and ambassador for data science, AI, and ML-led solutions with all collaborators.</div><div><br>
Qualification, Experience, and skills</div><ul><li>
Advanced degree or equivalent experience from world-class technical institutes in relevant field</li><li>
Demonstrated ability in Data science including traditional supervised and unsupervised machine learning methods, with some exposure to / experience in Generative AI in the last few years.</li><li>
Strong background in mathematics, probability, analytic problem solving and multivariate statistics</li><li>
Confirmed experience of having led, or responsible for AI / ML product / solution development.</li><li>
Demonstrable experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server-less architecture. Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI</li><li>
Proficiency with Python is critical</li><li>
Ambitious, dedicated, curious, and entrepreneurial</li></ul><div></div><div>
Desired skills that would be a distinct advantage</div><div></div><ul><li>
Experience in Agile working methodologies for product development</li><li>
Has already worked in a Research and Development set-up or in a Product Development role</li><li>
Excellent (English) communication skills to address both technical audience and business stakeholders</li><li>
Comfortable working in global set-ups with diverse cross-geography teams and cultures</li><li>
Technology savvy &ndash; closely follows the latest developments in Data Science and technology</li><li>
Willing to try out new things and quickly prototype solutions.</li><li>
Has an &lsquo;ideate-fast, test-fast, fail-fast, learn-fast&rsquo; attitude</li><li>
Meticulous and deep attention to detail</li><li>
Being able to straddle &lsquo;big picture strategy&rsquo; and &lsquo;tactical details&rsquo; with ease</li></ul><div></div><div>
Location: Chennai, India preferred.</div><div></div><div>
You may get in touch with <div>parul.oswal@kantar.com</div> if you are interested to know more about this fantastic opportunity at Kantar.</div><div></div><div><i>
Kantar is an equal opportunities provider</i></div><div></div><div>
About Kantar Analytics Practice</div><div></div><div>
The Global Data Science and Innovation (DSI) unit of KANTAR, nested within its Analytics Practice (<div>https://www.kantar.com/expertise/analytics</div>), is a fast-growing team of niche, elite data scientists responsible for all AI and data science led innovation within KANTAR.</div><div>
The unit is responsible for influencing the organization&rsquo;s AI strategy, and leading all AI-related initiatives within KANTAR (<div>https://www.kantar.com/campaigns/artificial-intelligence</div>), including bringing in the latest developments in the field of Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, Optimization, etc. to solve complex business problems in marketing analytics and consulting and build products that empower our colleagues around the world. The unit has a strong internal and external reputation with global stakeholders and clients, of handling sophisticated cutting-edge analytics, using state-of-the-art techniques and deep mathematical / statistical</div><div></div><div>
Why join Kantar?</div><div></div><div>
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Kantar.</div><div></div><div>
And because we know people, we like to make sure our people are looked after as well. Equality of opportunity for our people is our highest priority and we encourage our people to work in a way that supports their health and wellbeing. While we encourage our colleagues to spend part of their working week in the office, we understand no one size fits all, and we&rsquo;re flexible in our approach to ensure people feel included and accepted. We&rsquo;re committed to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, which is why we welcome applications from all background and sections of society. Even if you feel like you&rsquo;re not a perfect fit, we&rsquo;d love to receive your application and talk to you about this job or others at Kantar.</div><div></div><div>
#LI-Hybrid</div><div>
#LI-PO1</div><div></div><div>
Location</div>
Chennai, Teynampet, Anna SalaiIndia<div></div><div>
Kantar Rewards Statement</div><div>
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.</div><div></div><div><br>
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that&rsquo;s out of the ordinary and join us.</div><div></div><div><br>
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.</div><div></div><div><br>
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.</div><div></div><div>
Kantar is the world&rsquo;s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar&rsquo;s 30,000 people help the world&rsquo;s leading organisations succeed and grow.</div></div>

Lead Data Scientist

Careem

<div><div><p>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.<br>
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</p>
<p><b><i>
We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</i></b></p></div><div><h2 class="jobSectionHeader"><b>
About the Role</b></h2>
<p>
The <b>Director of Data Science (ML)</b> leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.</p>
<p>
You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.</p><h2 class="jobSectionHeader"><b><br>
</b></h2>
<h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<h3 class="jobSectionHeader"><b>1. Strategic Leadership</b></h3>
Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.<br>
<ul><li>
</li>
Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.<br>
<li>
</li>
Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.<br>
<li>
</li>
Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>2. Team Leadership &amp; Development</b></h3>
Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.<br>
<ul><li>
</li>
Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.<br>
<li>
</li>
Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.<br>
<li>
</li>
Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>3. Technical &amp; Operational Excellence</b></h3>
Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.<br>
<ul><li>
</li>
Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.<br>
<li>
</li>
Define and oversee the technical AI roadmap and direction for the team.<br>
<li>
</li>
Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.<br>
<li>
</li>
Champion MLOps and automation to reduce experimentation-to-production cycle time.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>4. Product Impact &amp; Delivery</b></h3>
Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.<br>
<ul><li>
</li>
Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).<br>
<li>
</li>
Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.<br>
<li>
</li>
Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>5. Cross-Functional Influence</b></h3>
Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.<br>
<ul><li>
</li>
Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.<br>
<li>
</li>
<li>Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.</li><br>
</ul>
<h2 class="jobSectionHeader"><b>What you'll need</b></h2>
10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.<br>
<ul><li>
</li>
Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).<br>
<li>
</li>
Advanced degree in Computer Science, Machine Learning, or related field.<br>
<li>
</li>
Demonstrated ability to translate complex ML concepts into strategic business impact.<br>
<li>
</li>
Strong stakeholder management and communication skills across technical and non-technical domains.<br>
<li>
</li>
<li>Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
What we&rsquo;ll provide you</b></h2>
<p>
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:</p>
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div><p></p>

Director of Data Science

Çalık Enerji

<div>
 <p>
  Since its establishment in 1998, &Ccedil;al&inodot;k Enerji has been delivering energy from nature to people across a wide geography including the CIS countries, the Middle East, Central Asia, Africa, and the Balkans. Through its successful projects, the company aims to create a better and more sustainable future and ranks among the world's leading energy companies.
 </p>
 <p>
  &Ccedil;al&inodot;k Enerji continues its operations in Romania, Turkmenistan, Uzbekistan, Iraq, and Senegal in the areas of EPC Contracting Operations, Distribution-Retail, and Renewable Energy Investments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are currently looking for a Data and Analytics Leader to be based at our Istanbul Head Office.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   QUALIFICATIONS
  </strong>
 </p>
 <ul>
  <li>
   Graduated from relevant departments of universities,
  </li>
  <li>
   Minimum 10 years of experience in data management and analytics,
  </li>
  <li>
   Proven leadership in large-scale data projects,
  </li>
  <li>
   In-depth knowledge of modern data technologies (Hadoop, Spark, Kafka, etc.),
  </li>
  <li>
   Experience with cloud data platforms (Azure, AWS, GCP),
  </li>
  <li>
   Expertise in SQL, Python/R, and data visualization tools,
  </li>
  <li>
   Strong business intelligence and strategic thinking skills,
  </li>
  <li>
   Strong communication skills and a team-oriented mindset.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   JOB DESCRIPTION
  </strong>
 </p>
 <ul>
  <li>
   Develop the corporate data strategy and vision,
  </li>
  <li>
   Establish the data governance model, define data ownership and responsibilities,
  </li>
  <li>
   Design and implement a Master Data Management (MDM) strategy; set data quality standards and SLAs,
  </li>
  <li>
   Manage the data lifecycle,
  </li>
  <li>
   Design modern data architecture (Data Lake, Data Warehouse),
  </li>
  <li>
   Manage data integration strategy and tools; implement real-time data processing infrastructure,
  </li>
  <li>
   Develop strategy for cloud data platforms (Azure, AWS, GCP); optimize data pipelines,
  </li>
  <li>
   Conduct performance and capacity planning,
  </li>
  <li>
   Establish and manage self-service BI platforms,
  </li>
  <li>
   Define standards for dashboards and reporting; develop predictive and prescriptive analytics use cases,
  </li>
  <li>
   Establish a Data Science Center of Excellence (CoE) and manage the analytics model lifecycle,
  </li>
  <li>
   Turn business insights into actionable outcomes,
  </li>
  <li>
   Define and implement data security policies,
  </li>
  <li>
   Manage KVKK/GDPR compliance processes; define data classification and sensitivity levels,
  </li>
  <li>
   Set up access control and authorization matrices; implement data masking and anonymization strategies,
  </li>
  <li>
   Coordinate security audits,
  </li>
  <li>
   Build and develop the data team,
  </li>
  <li>
   Conduct performance evaluations and career planning; enhance technical competencies,
  </li>
  <li>
   Manage data literacy programs and ensure coordination of data projects with stakeholders.
  </li>
 </ul>
 <p>
 </p>
</div>


Data and Analytics Leader

Locuz Enterprise Solutions

<div><div><div>Experience: 10+ years<br>
Location: Hyderabad</div><div><br>
At the forefront of data-driven innovation, our team empowers organizations to unlock strategic value through advanced analytics, AI/ML, and next-gen GenAI solutions built on cloud-native platforms and optionally deploying AI/ML in data centers. As a technology Lead he/she will work with enterprises, startup founders, and government agencies to build robust data capabilities across Data Engineering, Analytics, Machine Learning, Generative AI, and emerging agentic architectures. Primary responsibility will be to craft future-ready, fail-proof strategies for clients by leading presales and post-sales efforts, while actively shaping solution architecture and guiding delivery teams to execute with excellence and on time!</div><div></div><div><br>
We are seeking an experienced and visionary Data, AI/ML &amp; Gen AI Leader to establish and scale our AI practice. The ideal candidate will bring deep expertise in machine learning, LLMs, data science, and GenAI platforms, and will be responsible for defining the technical roadmap, driving innovation, mentoring teams, and delivering impactful Data and AI solutions across industries.</div><div><br>
He/She will collaborate with C-suite leaders and technical stakeholders from ideation to execution. As a thought leader, he/she is expected to bring best practices from both presales and delivery, bridge the gap between business needs and technical complexity, and stay ahead of rapid shifts in data, AI, GenAI, and agentic technologies.</div><div></div><div><br>
This role requires a blend of strategic thinking, hands-on technical capability, and leadership acumen to shape and grow the organization&rsquo;s Data, AI, and GenAI capabilities. We expect hands-on expertise in cloud platforms (with AWS as primary), Good Snowflake knowledge, Azure awareness, a good understanding of enterprise platforms (SAP, Salesforce, ServiceNow, Dynamics), and experience with leading databases (Oracle, MySQL) and ETL tools (like Glue, Fivetran, EMR).</div><div><br>
Work to be done<br>
<ul><li>Build, mentor, and lead a cross-functional AI team including data scientists, ML engineers, data engineers, and solution architects.</li><li>Lead the design, development, and deployment of cloud-native data, AI/ML, and GenAI platforms leveraging AWS (SageMaker, Bedrock, Lambda, Glue, EMR, Kinesis, Redshift, Athena, AppFlow, Step Functions, Rekognition, Textract, Comprehend).</li><li>Architect and oversee the design and deployment of end-to-end AI/ML pipelines, including data ingestion, model training, evaluation, and deployment. Optimize ETL pipelines, lakehouses, and advanced analytics solutions on AWS and Snowflake.</li><li>Lead Generative AI initiatives such as intelligent chatbots, document summarization, knowledge assistants, and code-generation solutions.</li><li>Translate complex client problems into actionable data and AI strategies through POCs, MVPs and production-grade deployment leveraging open-source and enterprise AI stacks, including agentic AI frameworks, RAG workflows, and enterprise MLOps/DataOps best practices.</li><li>Define, implement, and enforce data governance, master data management (MDM), cataloging, and lineage frameworks for accuracy, integrity, and compliance - working across Oracle, MySQL, and other enterprise data sources.</li><li>Conduct platform health reviews: data/AI quality assessments, root cause analyses, and continuous improvement for reliability and performance.</li><li>Partner with business, sales, and product teams to shape tailored proposals, SoW, pricing, and effort estimation for large-scale enterprise data, AI, and GenAI projects.</li><li>Mentor and lead delivery teams - ensuring best practices across presales, solution architecture, and project execution, with exposure to ETL tools like Fivetran, EMR, Glue, and scalable database management.</li><li>Engage with partners (AWS, Microsoft, NVIDIA, etc.) for joint solution development.</li></ul>
Required Skills &amp; Experience<br>
<ul><li>8 -10 years of experience in data analytics and AI/ML with deep cloud expertise (AWS mandatory, Snowflake desired, Azure /GCP and ETL tools like Fivetran good to have).</li><li>Demonstrated leadership in presales architecting, solution workshops, client engagement, and enterprise data &amp; AI delivery across platforms such as SAP, Salesforce, ServiceNow, and Dynamics.</li><li>Proficiency with cloud-based AI services (Amazon SageMaker, Vertex AI, Bedrock, OpenAI APIs), Cloud-based data and ETL services like Glue, EMR, Kinesis, Redshift; Visualization tools like Quicksight, Grafana.</li><li>Deep understanding of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch, Hugging Face), LLM fine-tuning techniques, and programming stack like Python, Spark, Scala.</li><li>Strong understanding of vector databases, RAG (Retrieval Augmented Generation), and prompt optimization techniques.</li><li>Experience building or deploying GenAI, Agentic AI (including RAG models), data agents, and leveraging the latest in cognitive/enterprise AI trends; good understanding of Azure and hybrid/multi-cloud strategies, including integration with SAP, Salesforce, ServiceNow, and Dynamics.</li><li>Proven advocacy and implementation of DataOps, MLOps, data governance, and metadata management at scale, utilizing a mix of modern enterprise tools and native cloud services.</li><li>Exceptional analytical, solution design, and communication skills; adept at leading technical and business discussions and mentoring/leading diverse teams.</li></ul></div><div></div><div><br>
Preferred Qualifications<br>
<ul><li>AWS Certified Machine Learning &ndash; Specialty, AWS Data Analytics Professional, or SnowPro Certification.</li><li>Certification or specialization in Generative AI, NLP, or Deep Learning from reputed platforms (e.g., Coursera, Stanford, NVIDIA DLI).</li><li>Experience leading global or US-based client engagements and shaping enterprise data/AI strategies from presales to delivery.</li><li>Exposure to Azure AI/Data services, enterprise platform integrations (SAP, Salesforce, ServiceNow, Dynamics), metadata/catalog tools, and designing modern data operating models.</li><li>Experience with large-scale proposals, SoW creation, and bringing best-in-class presales and delivery practices.</li></ul></div><div></div><div><br>
Our Culture and Purpose<br>
We believe diverse perspectives drive innovation. Our inclusive culture empowers you to be authentic, nurtures curiosity, and prioritizes continuous learning. We provide an environment where the person can truly grow as a leader, master the latest in data and GenAI, and deliver measurable impact for clients and communities. This is where passion for architecting data and AI solutions meets meaningful business influence.</div><div></div><div><br>
If one thrives on leading teams, mentoring talent, exploring RAG models, building agentic AI, and consistently delivering business impact, it will be the next big move.</div></div></div><div></div>

Data Analytics Tech Lead

SymphonyAI

<div>Introduction:
<div><b>
About Us:</b></div><div><br>
SymphonyAI is a leading enterprise AI solutions provider empowering retailers and manufacturers to optimize business operations through customer insights. Our innovative technology and strategic collaboration position us as a preferred partner for leading retailers and manufacturers globally.</div>
Job Description:
<p><b>
About the role:</b></p><p></p><ul><li><b><br>
Strategic Leadership:</b></li><li><ul><li>
Lead and develop the Data Science and ML Engineering teams to deliver actionable business insights and production-grade ML solutions.</li><li>
Collaborate with senior leadership to define the analytics and AI roadmap aligned to retail business priorities (pricing, promotions, assortment, personalized marketing, and customer experience).</li></ul></li><li><b>
Team Management and Mentoring:</b></li><li><ul><li>
Build, mentor, and retain a high-performing team of data scientists and machine learning engineers.</li><li>
Foster a culture of innovation, continuous learning, and excellence.</li></ul></li><li><b>
Solution Design and Delivery:</b></li><li><ul><li>
Oversee end-to-end delivery of advanced analytics and machine learning projects, from ideation to deployment and ongoing optimization.</li><li>
Architect and implement scalable models for price optimization, promotion effectiveness, assortment planning, demand forecasting, and personalized marketing.</li></ul></li><li><b>
Hands-on Technical Oversight:</b></li><li><ul><li>
Guide the team in leveraging modern data science tools and frameworks (Python, R, Spark).</li><li>
Champion the adoption and integration of GenAI (Generative AI) for real-world retail applications (e.g., automated content creation, chatbot solutions, recommendation systems).</li></ul></li><li><b>
Deployment &amp; Integration:</b></li><li><ul><li>
Drive best practices for robust model deployment and MLOps, ensuring seamless integration of models into retail software platforms or products.</li><li>
Work closely with product and engineering teams to operationalize data science solutions at scale.</li></ul></li></ul><p><b>
About you:</b></p><br>
<p></p><ul><li>
10+ years of industry experience in data science and machine learning; min 3+ years in a leadership role managing data science and/or ML engineering teams.</li><li>
Demonstrated expertise in retail analytics (price optimization, promotion analytics, assortment planning, personalization, customer segmentation, etc.).</li><li>
Advanced degree (PhD/Masters) in Computer Science, Statistics, Mathematics, Data Science, or related field.</li><li>
Extensive hands-on experience in Python (scikit-learn, pandas, TensorFlow/PyTorch), R, and Spark.</li><li>
Proven experience with designing, building, and deploying production-grade ML models and integrating with existing business software/systems.</li><li>
Strong understanding of MLOps, Cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is highly desirable.</li><li>
Experience with GenAI frameworks, applications, and responsible AI principles.</li></ul>
About Us:
<div><b>
What We Offer:</b></div><ul><li>
Competitive salary and benefits package.</li><li>
Opportunities to work on innovative, cutting-edge technology projects.</li><li>
Supportive, collaborative, and technically enriching work environment.</li><li>
Professional growth and upskilling opportunities.</li></ul></div>

Senior Director, Data Science

Al-Futtaim Automotive

Data Science Manager - Finance Al-Futtaim Automotive <p>Al-Futtaim Automotive is the automotive division of Al Futtaim Group, headquartered in Dubai, UAE. The Group operates in automotive, financial services, real estate, retail and healthcare, employing more than 35,000 people across more than 20 countries. Our values are respect, excellence, collaboration, and integrity, and we are committed to customer focus and innovation.</p> Overview of the Role <p>As a Data Science Manager (Finance) you will lead AI and data science initiatives that optimize financial performance, strengthen risk management, and improve business decision making. The role focuses on advanced predictive modeling, financial forecasting, and portfolio optimization to create measurable impact across the organization.</p> What You Will Do <ul> <li>Build and deploy predictive models for residual value optimization, credit risk scoring, probability of default, and F&I leasing pricing optimization.</li> <li>Standardize financial KPIs and risk dashboards using statistical process control and advanced visualization tools.</li> <li>Generate financial insights through time series analysis, portfolio optimization, survival analysis and risk modeling.</li> <li>Collaborate with finance and risk teams to identify and prioritize high potential data driven use cases.</li> <li>Lead and mentor a team of data scientists, ensuring the delivery of scalable machine learning and AI models.</li> <li>Report to the Head of Financial Data Science and oversee a team that plays a critical role in enhancing financial planning, risk management, and profitability.</li> </ul> Required Skills and Experience <ul> <li>Advanced expertise in time series forecasting, regression, logistic regression and random forests.</li> <li>Strong skills in survival analysis, reinforcement learning, and genetic algorithms.</li> <li>Deep knowledge of portfolio optimization, risk modelling and causal inference techniques.</li> <li>Proficiency in deep learning (CNNs, RNNs, LSTMs, Transformers) and advanced pattern recognition.</li> <li>Strong understanding of financial regulations and their impact on AI/ML model development.</li> <li>Excellent stakeholder management and ability to translate complex financial models into actionable insights.</li> <li>Bachelor's, Master's or PhD in Financial Analytics, Computer Science or related field.</li> <li>7+ years of experience in financial analytics, data science and machine learning.</li> <li>Hands on expertise in advanced statistics, optimization, causal and Bayesian modeling, Monte Carlo simulations, graph neural networks and recommender systems.</li> <li>Proficient in Python, SQL, Databricks and ML libraries such as TensorFlow, PyTorch, Scikit learn, ARIMA/SARIMA, Prophet.</li> <li>Knowledge of NLP, autoencoders, transformers, NER, computer vision (OpenCV, YOLO) and model explainability (SHAP, LIME).</li> <li>Experience with MLOps, Git and visualization tools (Matplotlib, Seaborn, Plotly).</li> <li>Strong leadership, problem solving and communication skills to manage teams and deliver business impact.</li> </ul> About The Team <p>You will report to the Head of Financial Data Science and lead a team of Data Scientists and a Data Science Manager within the Finance Department.</p> About Al-Futtaim Automotive <p>Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. We specialize in distribution, manufacturing, leasing and aftersales, and represent iconic automotive brands. Our mission is to become the leader in custom made mobility solutions by delivering world class omni channel experiences.</p> <p>We empower talent to move forward.</p><img src="https://www.jobg8.com/Tracking.aspx?n5tSDoUM%2b4Y8zcMbv499TohRgZKUJ2h8j" width="0" height="0" />

Data Science Manager - Finance Al-Futtaim Automotive

Milliken & Company

<div><p>Milliken &amp; Company is a global manufacturing leader whose focus on materials science delivers tomorrow&rsquo;s breakthroughs today. From industry-leading molecules to sustainable innovations, Milliken creates products that enhance people&rsquo;s lives and deliver solutions for its customers and communities. Drawing on thousands of patents and a portfolio with applications across the textile, flooring, chemical and healthcare businesses, the company harnesses a shared sense of integrity and excellence to positively impact the world for generations. Discover more about Milliken&rsquo;s curious minds and inspired solutions at Milliken.com and on Facebook, Instagram and LinkedIn.</p><div><div><p>
Encapsys (www.encapsys.com), now a part of Milliken &amp; Company (www.milliken.com) is looking to hire student intern and co-ops for the 2026 calendar year to join our team in Appleton, WI. This is a competitively paid position being offered to students in a Data Science, Statistics, Applied Mathematics, Computer Sciences, Chemical Engineering, Material Science/Engineering, or Chemistry program. Students are also offered a special benefits package which includes a housing allowance and paid time off.</p></div><p></p><div><p><br>
Encapsys operates in the specialty chemicals industry. Holding over 75 encapsulation patents, Encapsys is a global leader in encapsulation technologies within three primary business segments &ndash; Fragrance, Phase change, and Agriculture. Encapsys operates highly scalable encapsulation processes that deliver superior products.</p></div><p></p><div><p><br>
Encapsys takes pride in providing students with opportunities to build strong resumes through matching individual interests with available projects. Encapsys provides projects with a high level of responsibility that have strong impacts on the bottom line. Students will work on both collaborative and independent projects in conjunction with the engineer/scientist project leaders. Each student is assigned a mentor to provide guidance through the processes of training, developing, and contributing.</p></div><p></p><div><p><br>
Research and development plays a vital role in our position as a leader in the encapsulation market. Ongoing investment in R&amp;D will continue to enable us to develop core competencies in encapsulation processes and applications and grow our business with new and existing customers.</p></div><p></p><div><p><br>
Typical job duties for a Data Analyst Co-op include:</p></div><div><ul><li><p>
Support R&amp;D teams by collecting, cleaning, and analyzing experimental and operational data to drive innovation and product development.</p></li></ul></div><div><ul><li><p>
Assist in the development and automation of structured and unstructured data pipelines and workflows using tools such as Python, SQL, Excel, BI, NLP libraries, or ML frameworks, and API integration.</p></li></ul></div><div><ul><li><p>
Develop and maintain dashboards, reports, and visualizations to communicate key insights to technical and non-technical stakeholders.</p></li></ul></div><div><ul><li><p>
Collaborate with scientists, engineers and product managers to identify data needs and design data workflows that ensure accuracy, integrity, and usability of laboratory data.</p></li></ul></div><div><ul><li><p>
Apply statistical methods and predictive modeling to support experimental design, product development, and commercialization processes.</p></li></ul></div><div><ul><li><p>
Develop and apply AI and machine learning models to identify/interpret trends, predict outcomes, and relationships in complex data sets.</p></li></ul></div></div><div><div><ul><li><p>
Document data sources, methodologies, and findings to ensure reproducibility and knowledge sharing across teams.</p></li></ul></div><div><ul><li><p>
Participate in cross-functional meetings and contribute to problem-solving discussions with data-driven insights.</p></li></ul></div><p></p><div><p><br>
Education, experience and qualifications:</p></div><div><ul><li><p>
Educational background includes individuals earning their B.S. or M.S. with at least a 3.00 GPA in any of the following programs, rising Juniors and Seniors preferred:</p></li></ul></div><div><ul><li><p>
Data Science, Statistics, Applied Mathematics</p></li></ul></div><div><ul><li><p>
Computer Science, Artificial Intelligence, or Computational Sciences</p></li></ul></div><div><ul><li><p>
Chemical Engineering, Chemistry, or Materials Science with strong data/AI coursework</p></li></ul></div><div><ul><li><p>
Other supporting competencies include:</p></li></ul></div><div><ul><li><p>
Apply engineering and scientific principles to projects and designs</p></li></ul></div><div><ul><li><p>
Drive for results and self-motivated</p></li></ul></div><div><ul><li><p>
Work collaboratively within a team environment and independently</p></li></ul></div><div><ul><li><p>
Ability to work independently and manage time across multiple tasks</p></li></ul></div><div><ul><li><p>
Communicate effectively</p></li></ul></div><div><ul><li><p>
Analyze problems/issues and recommend potential solutions</p></li></ul></div><div><ul><li><p>
Foster collaboration</p></li></ul></div><div><ul><li><p>
Manage project execution</p></li></ul></div><div><ul><li><p>
Use sound judgment</p></li></ul></div><div><p>
All employment is contingent on successful completion of a pre-employment drug screen and background check and be authorized to work in the United States on a full-time basis.</p></div></div><p></p><p><br>
Milliken is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, sex or gender (including pregnancy, childbirth or related medical condition, including but not limited to lactation), sexual orientation, gender identity or gender expression (including transgender status), ancestry, national origin, citizenship, age physical or mental disability, genetic information, marital status, veteran or military status or any other characteristic protected by applicable law.</p><p>
To request a reasonable accommodation to complete a job application, pre-employment testing, a job interview, or to otherwise participate in the hiring process, please contact TalentAcquisition@milliken.com.</p></div><p></p>

Encapsys R&D Data Analyst Co-op

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