data scientist

data analyst

data engineer

senior data engineer

senior data scientist

lead data scientist

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

Chubb Insurance

<div><p><b>About Chubb
</b></p><p>Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com .
</p><p><b>About Chubb India
</b></p><p>At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
</p><p>With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
</p><p>We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
</p><p><b>Position Details:
</b></p><ul><li><b>Function/Department </b>: Advanced Analytics
</li><li><b>Location </b>: Bangalore, India
</li><li><b>Employment Type: </b>Full-time
</li><li><b>Role Overview &ndash; </b>Lead Data Scientist
</li></ul><p>Chubb is looking for a Lead data scientist to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI products
</p><p><b>Responsibilities:
</b></p><ul><li><p>Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges on Azure platform.
</p></li><li><p>Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
</p></li><li><p>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
</p></li><li><p>Building reusable tools to streamline the modeling pipeline and sharing knowledge.
</p></li><li><p>Manage project stakeholder expectations and issue communications on progress.
</p></li><li><p>React to shifting priorities without compromising deadlines and momentum</p></li></ul></div>
<br><div><ul><li><p>9+ years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
</p><ul><li><p>Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
</p></li><li><p>Experience with designing scalable end-to-end Machine Learning/NLP systems.
</p></li><li><p>Experience on distributed, high throughput and low latency architecture.
</p></li><li><p>Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
</p></li><li><p>Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
</p></li><li><p>Experience in handling a small team
</p></li><li><p>Familiarity with Continuous Integration tools such as Jenkins
</p></li></ul></li></ul><p><b>Why Chubb?
</b></p><p>Join Chubb to be part of a leading global insurance company!
</p><p>Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
</p><ul><li><b>Industry leader: </b>Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
</li><li><b>A Great Place to work: </b>Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
</li><li><b>Laser focus on excellence </b>: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
</li><li><b>Start-Up Culture </b>: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
</li><li><b>Growth and success </b>: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment<br>
</li></ul><p></p><p><b>Employee Benefits
</b></p><p>Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
</p><ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
</li><li>Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
</li><li>With you Chubb is better. Whether you are solving challenges on a <b>global stage </b>or creating innovative solutions for local markets, your contributions will help shape the future. If you value <b>integrity, innovation, and inclusion </b>, and are ready to make a difference, we invite you to <b>be part of Chubb India&rsquo;s journey </b>.<br>
</li></ul><p></p><p><b>Join Us<br>
</b></p><p></p><p><b>Apply Now </b>: Chubb India Career page</p></div><br><div></div>

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Position Overview
</b></p><p>We are seeking an experienced Lead Data Scientist (LMTS) to drive data science innovation in predictive modeling and AI within Salesforce&rsquo;s infrastructure domain. As a technical leader, you will design, deploy, and operationalize advanced forecasting and anomaly detection models at scale. You will also shape the roadmap for integrating foundation models and LLMs into production forecasting workflows, enabling faster root cause analysis, proactive recommendations, and automated insights for stakeholders across capacity, cost, and infrastructure planning.
</p><p></p><p>This is a hands-on technical leadership role: you will not only build models but also set technical direction, mentor other data scientists, and raise the bar for reproducibility, scalability, and explainability across our platform.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><p>Lead the design, development, and deployment of high-impact forecasting models used across capacity planning, FinOps, and infrastructure cost management.
</p></li><li><p>Partner with cross-functional leaders (capacity planners, finance, engineering) to shape requirements, influence priorities, and ensure models solve real-world infrastructure challenges.
</p></li><li><p>Act as a multiplier on the team by mentoring SMTS/MTS data scientists, providing technical coaching, and instilling best practices in reproducibility, CI/CD, monitoring, and model lifecycle management.
</p></li><li><p>Drive the adoption of LLMs and foundation models in applied infrastructure management &mdash; defining architectures, guiding experimentation, and leading integration into production workflows.
</p></li><li><p>Own end-to-end quality of deliverables, ensuring models are accurate, robust, observable, and aligned with trust and security standards.
</p></li><li><p>Contribute to the broader data science community at Salesforce by sharing methodologies, influencing platform standards, and reviewing technical designs across teams.
</p></li><li><p>Champion continuous improvement in data science processes, proactively addressing tech debt, standardizing pipelines, and defining metrics (SLIs/SLOs) to measure forecast performance.<br>
<br>
<br>
</p></li></ul><p><b>Qualifications
</b></p><ul><li><p>Advanced technical degree in a relevant field (Computer Science, Statistics, Operations Research, Applied Math, etc.).
</p></li><li><p>8+ years of industry experience building and deploying machine learning solutions (time series forecasting experience strongly preferred).
</p></li><li><p>Proven ability to lead technical direction for data science projects, mentor junior members, and influence cross-team engineering practices.
</p></li><li><p>Demonstrated success delivering production-grade ML/AI systems in cloud environments (AWS/GCP), including monitoring, CI/CD, and observability.
</p></li><li><p>Strong expertise in time series forecasting and ML methods; familiarity with foundation models and LLMs in applied data science.
</p></li><li><p>Proficiency in Python and modern DS/ML tools (mlFlow, Airflow, Docker, Spark, SQL, Pandas/Sklearn).
</p></li><li><p>Strong communicator, capable of influencing both technical and non-technical stakeholders, and of synthesizing complex data science concepts into actionable insights.
</p></li><li><p>Track record of driving measurable business impact through data science solutions at scale.
</p></li></ul><p></p><p><b>BENEFITS &amp; PERKS
</b></p><ul><li><p>Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
</p></li><li><p>World-class enablement and on-demand training with Trailhead.com
</p></li><li><p>Exposure to executive thought leaders and regular 1:1 coaching with leadership
</p></li><li><p>Volunteer opportunities and participation in our 1:1:1 model for giving back to the community
</p></li><li><p>For more details, visit https://www.salesforcebenefits.com/
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Lead Data Scientist | LMTS

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><br>
<div><p>JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.
</p></div><p></p><div><p>As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
</p></div><p></p><div><p>You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you&rsquo;re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
</p></div><p></p><div><p><b>Job Responsibilities</b>
</p></div><p></p><div><p>Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
</p></div><div><p>Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
</p></div><div><p>Collaborate across JPMorgan AWM&rsquo;s lines of business and functions to accelerate adoption of common AI capabilities
</p></div><div><p>Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
</p></div><div><p>Deploy solutions into public cloud infrastructure
</p></div><div><p>Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
</p></div><p></p><div><p><b>Required qualifications, capabilities, and skills</b>
</p></div></div><p></p><div><div><ul><li>MS in Computer Science, Statistics, Mathematics or Machine Learning.
</li></ul></div><div><ul><li>Minimum 5 years development experience, preferably with 3+ years hands-on Machine Learning Engineering
</li></ul></div><div><ul><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
</li></ul></div><div><ul><li>Solid Python programming skills required; with other high-performance language such as Go a big plus
</li></ul></div><div><ul><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
</li></ul></div><div><ul><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus
</li></ul></div><div><ul><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
</li></ul></div><div><ul><li>Expertise in application, data, and infrastructure architecture disciplines
</li></ul></div><div><ul><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
</li></ul></div><div><ul><li>Excellent communication skills and ability to communicate with senior technical and business partners
</li></ul></div><p></p><div><p><b>Preferred qualifications, capabilities, and skills</b>
</p></div><p></p><div><ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
</li></ul></div><div><ul><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn
</li></ul></div><div><ul><li>Understanding of finance or wealth management businesses is an added advantage
</li></ul></div></div><b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Citi

<div><p>The Specialized Analytics Manager provides full leadership and supervisory responsibility. Provides operational/service leadership and direction to team(s). Applies in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. May contribute to the development of new techniques, models and plans within area of expertise. Excellent communication and diplomacy skills are required. Generally has responsibility for volume, quality, timeliness of end results and shared responsibility for planning and budgets. Work affects an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Full supervisory responsibility, ensuring motivation and development of team through professional leadership to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations as well as direction of daily tasks and responsibilities.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies</li><li>
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes</li><li>
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques</li><li>
Incumbents in this role may often be referred to as Data Scientists</li><li>
Specialization in marketing, risk, digital and AML fields possible</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.</li></ul><p><b><br>
Qualifications:</b></p><ul><li>
6-15 years of experience into Data Science</li><li>
Ability to communicate technical information to both technical and non-technical audiences required</li><li>
Problem solving, root cause analysis skills required</li><li>
Ability to focus on multiple priorities and drive solutions in a fast paced working environment</li><li>
Relevant work experience in data quality, data analytics, data management within the financial services industry required</li><li>
Outstanding analytical and problem-solving skills</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelors/University degree or equivalent experience</li></ul><p></p><p><br>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

ZEISS Group

<div><div>ZEISS in India</div><div></div><div>
ZEISS in India is headquartered in Bengaluru and present in the fields of Industrial Quality Solutions, Research Microscopy Solutions, Medical Technology, Vision Care and Sports &amp; Cine Optics.</div><div></div><div>
ZEISS India has 3 production facilities, R&amp;D center, Global IT services and about 40 Sales &amp; Service offices in almost all Tier I and Tier II cities in India. With 2200+ employees and continued investments over 25 years in India, ZEISS&rsquo; success story in India is continuing at a rapid pace.</div><div></div><div>
Further information at <div>ZEISS India</div>.</div><div></div><div>
In this role you will:</div><div>
Focus on communication, conceptual, and organizational work</div><ul><li>
Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases</li><li>
Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact</li><li>
Lead and mentor junior data scientists, while clearly communicating complex AI concepts to both technical and non-technical audiences.</li><li>
Drive the topic of GenAI forward together with the team and our GenAI task force &ndash; from employee training to building the GenAI architecture.</li></ul><div>
and hands-on programming</div><ul><li>
Provide practical insights into feasibility of AI use cases by rapid prototyping</li><li>
Experiment with cutting-edge technologies such as Agentic AI, Deep Learning, and Large Language Models (LLMs), while exploring their seamless integration into our existing data products and projects</li></ul><div></div><div>
You have:</div><ul><li>
Preferably Master's degree in a STEM (Science, Technology, Engineering, Mathematics) subject, such as Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>
5+ years of experience as a data scientist, ideally in a senior or lead role.</li><li>
Solid expertise in machine learning, including supervised and unsupervised, along with experience in model evaluation, interpretability, and deployment.</li><li>
You are hands-on with deep learning and GenAI, working with transformers, LLMs, diffusion models, and multimodal AI.</li><li>
Fluency in Python and relevant libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow, statsforecast, LangChain)</li><li>
Experience in MCP is a plus</li><li>
You have strong skills in data handling, from preprocessing and feature engineering to advanced analytics</li><li>
Strong organizational and project management skills, with the ability to manage multiple priorities and deadlines</li><li>
Strong communication skills in English, with the ability to explain complex topics clearly.</li><li>
A collaborative mindset, curiosity, and confidence to challenge the status quo.</li></ul><div></div><div>
Your ZEISS Recruiting Team:</div>
Upasana Sinal</div>

Lead Data Scientist – Predictive Analytics / GenAI

Wayfair

<div>
 <p>
  <strong>
   Who We Are
  </strong>
 </p>
 <p>
  Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in
 </p>
 <p>
  profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater
 </p>
 <p>
  to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of
 </p>
 <p>
  customers. We are evolving our Ads Platform to empower advertisers across all sophistication
 </p>
 <p>
  levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the
 </p>
 <p>
  art Machine Learning techniques.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The
  <strong>
   Advertising Optimization &amp; Automation Science
  </strong>
  team is central to this effort. We
 </p>
 <p>
  leverage machine learning and generative AI to streamline campaign workflows, delivering
 </p>
 <p>
  impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU
 </p>
 <p>
  selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for seasoned ML Scientists to join the
  <strong>
   Advertising Optimization &amp; Automation Science
  </strong>
  team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair&rsquo;s revenue.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll do
  </strong>
 </p>
 <ul>
  <li>
   Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.
  </li>
  <li>
   Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
  </li>
  <li>
   Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions
  </li>
  <li>
   Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services
  </li>
  <li>
   Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)
  </li>
  <li>
   Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
  </li>
  <li>
   Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll need
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.
  </li>
  <li>
   6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
  </li>
  <li>
   Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.
  </li>
  <li>
   Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
  </li>
  <li>
   Proficiency in Python or one other high-level programming language
  </li>
  <li>
   Solid hands-on expertise deploying machine learning solutions into production
  </li>
  <li>
   Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).
  </li>
  <li>
   Experience in computational advertising, bidding algorithms, or search ranking
  </li>
  <li>
   Experience with deep learning frameworks like PyTorch, Tensorflow, etc.
  </li>
 </ul>
</div>


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