applied data scientist

dunnhumby

<div><div><div><b>dunnhumby</b> is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.</div><br>
<div></div>
<div><b>
Our mission:</b> to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail &ndash; one of the world's most competitive markets, with a deluge of multi-dimensional data &ndash; dunnhumby today enables businesses all over the world, across industries, to be Customer First.</div><br>
<div></div>
<div><b>
dunnhumby</b> employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter &amp; Gamble and Metro.</div></div><p><b>
We're looking for a Lead Applied Data Scientist who expects more from their career. </b>It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.</p>
<p><b>
What we expect from you</b></p>
<ul>
<li><b>5- 7 years of experience required</b></li>
<li>Degree in Statistics, Maths, Physics, Economics or similar field</li>
<li>Programming skills (Python and SQL are a must have)</li>
<li>Analytical Techniques and Technology</li>
<li>Logical thinking and problem solving</li>
<li>Strong communication skills</li>
<li>Stakeholder Management</li>
<li>Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact</li>
<li>Statistical Modelling and experience of applying data science into client problems.</li></ul><br>
<div>
</div><div><p><b>What you can expect from us</b></p>
<p>
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Lead Applied Data Scientist

Salla

<div>
 Protect millions of buyers and sellers as our Senior Data Scientist for Integrity &amp; Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection
  </li>
  <li>
   Build and grow the Integrity, Safety &amp; Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes
  </li>
  <li>
   Design feature pipelines that leverage product text, images, seller behavior, and transaction data
  </li>
  <li>
   Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English)
  </li>
  <li>
   Utilize multimodal architectures (CLIP, ViT + BERT) for image-text cross-validation
  </li>
  <li>
   Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity
  </li>
  <li>
   Collaborate with product, legal, and operations teams to define integrity policies and feedback loops
  </li>
  <li>
   Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana)
  </li>
  <li>
   Optimize model precision/recall tradeoffs based on enforcement and user experience goals
  </li>
  <li>
   Familiarity with graph learning, anomaly detection, and multimodal data pipelines
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  </li>
  <li>
   5+ years of experience in applied ML, with at least 2+ years focused on Trust &amp; Safety, Integrity, or Fraud Detection systems
  </li>
  <li>
   Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation
  </li>
  <li>
   Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV
  </li>
  <li>
   Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent)
  </li>
  <li>
   Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus
  </li>
  <li>
   Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes
  </li>
  <li>
   Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Medical Health Insurance
  </li>
  <li>
   Performance Bonus
  </li>
  <li>
   Others
  </li>
 </ul>
</div>


Lead Data Scientist - Integrity & Safety

SALLA

<div><p>Protect millions of buyers and sellers as our Senior Data Scientist for Integrity &amp; Trust. You'll lead building the AI defense systems that detect fraud, eliminate counterfeit products, and maintain marketplace quality across our platform. In MENA's high-COD environment (75% of transactions), trust is everything. Your models will be the difference between platform growth and reputation damage.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li><ul>
<li>Build and deploy supervised and unsupervised ML models for policy violation detection, counterfeit detection, and fraud detection.</li>
<li>Build and grow the Integrity, Safety &amp; Trust pod, mentor applied data scientists and deliver end-to-end projects with measurable business outcomes.</li>
<li>Design feature pipelines that leverage product text, images, seller behavior, and transaction data.</li>
<li>Apply NLP models for text classification, entity extraction, and multi-lingual moderation (Arabic + English).</li>
<li>Utilize multimodal architectures (CLIP, ViT + BERT) for image&ndash;text cross-validation.</li>
<li>Develop graph-based and anomaly detection models to identify coordinated or suspicious merchant activity.</li>
<li>Collaborate with product, legal, and operations teams to define integrity policies and feedback loops.</li>
<li>Implement dashboards and monitoring for real-time detection and escalation (e.g., Elastic, Grafana).</li>
<li>Optimize model precision/recall tradeoffs based on enforcement and user experience goals.</li>
Familiarity with graph learning, anomaly detection, and multimodal data pipelines.<br>
<li>
</li>
</ul></li></ul><p><b>Requirements</b></p><p></p><ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li>
<li>5+ years of experience in applied ML, with at least 2+ years focused on Trust &amp; Safety, Integrity, or Fraud Detection systems.</li>
<li>Experience with multi-modal text-image modeling (e.g., OCR, CLIP/ViT, layout analysis), taxonomy or attribute extraction, policy classification, and Arabic/English content moderation.</li>
<li>Strong proficiency in Python, SQL, and ML libraries such as PyTorch, Transformers, Scikit-learn, and OpenCV.</li>
<li>Experience developing streaming or near-real-time detection systems (Kafka, Redis Streams, or equivalent).</li>
<li>Knowledge of e-commerce ecosystems, product policy enforcement, and counterfeit or low-quality detection is a plus.</li>
<li>Proven experience building or growing a team of applied data scientists and delivering end-to-end projects with measurable business outcomes.</li>
<li>Excellent analytical reasoning, communication, and cross-functional collaboration skills; able to balance enforcement precision with business impact.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Henkel

<div>
 <strong>
  About this Position
 </strong>
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 <br/>
 <br/>
 <strong>
  What You&acute;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
  </li>
  <li>
   Delivers data science products from idea to deployment
  </li>
  <li>
   Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
  </li>
  <li>
   Develop processes and tools to monitor and analyze model performance and data accuracy
  </li>
  <li>
   Acts as data science ambassador across business units and functions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What makes you a good fit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
  </li>
  <li>
   3-5 years of relevant work experience
  </li>
  <li>
   Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
  </li>
  <li>
   Business acumen and ability to work closely with non-technical teams
  </li>
  <li>
   High confidence in verbal and written communication.
  </li>
  <li>
   Experience using statistical computer languages (Python and SQL knowledge is a must)
  </li>
  <li>
   Experience analyzing data from 3rd party providers is preferable
  </li>
  <li>
   Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Some perks of joining Henkel
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
  </li>
  <li>
   Diverse national and international growth opportunities
  </li>
  <li>
   Globally wellbeing standards with health and preventive care programs
  </li>
  <li>
   Gender-neutral parental leave for a minimum of 8 weeks
  </li>
  <li>
   Employee Share Plan with voluntary investment and Henkel matching shares
  </li>
  <li>
   Comprehensive Health Insurance for employee + dependents
  </li>
  <li>
   Employee Assistance Program provides a wide range of mental health and wellbeing benefits
   <br/>
   <br/>
  </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>


Data Scientist

Tesco

<div><b>About the role</b><br>
Job Summary:<br>
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable<br>
data driven decisions and deliver on organization's key strategic priorities<br>
In this job, I&rsquo;m accountable for:<br>
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:<br>
<ul><li>Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit</li><li>Perform other miscellaneous duties as required by management</li><li>Driving CI culture, implementing CI projects and innovation for withing the team</li></ul>
Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical<br>
solution document calling out how application of data science will improve decision making<br>
<ul><li>In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources</li><li>Building Statistical models and ML algorithms with practitioner level competency</li><li>Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and</li></ul>
reusable modules on GitHub, Wiki, etc) with expert competency<br>
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a<br>
visualization platform (Tableau / Python) or through a recommendation set through PPTs<br>
<ul><li>Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of</li></ul>
improvement in the larger Tesco business<br>
<ul><li>Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues</li><li>Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects</li></ul><br>
<b>You will be responsible for</b><br>
<div>
Refer &quot;About the Role&quot;</div>
<b>You will need</b><br>
<div>
Key people and teams I work with in and outside of Tesco:<br>
People, budgets and other resources I am accountable for<br>
in my job:<br>
Enterprise Analytics Senior Management<br>
NA<br>
Partners across the global Tesco business<br>
Tesco Business Solutions Senior Management<br>
Operational skills relevant for this job:<br>
Experience relevant for this job:<br>
<ul><li>Applied Math: Applied Statistics, Design of Experiments,</li><li>5+ years experience in data science application in</li></ul>
Regression, Decision Trees, Forecasting, Optimization<br>
and delivering analytics solutions in industries such as retail,<br>
algorithms, Clustering, NLP<br>
consumer packaged goods (CPG), telecom, or hospitality<br>
<ul><li>Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS</li></ul>
preferred<br>
Powerpoint, GitHub<br>
<ul><li>Exposure to functional areas like marketing, supply chain,</li><li>Business: Basic understanding of Retail domain</li></ul>
customer analytics, merchandising, operations, finance, or digital<br>
<ul><li>Soft Skill: Analytical Thinking &amp; Problem solving,</li></ul>
analytics</div>
<b>Whats in it for you?</b><br>
<div>
At Tesco, we are committed to providing the best for you.</div>
<div></div>
<div>As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.</div>
<div></div>
<div>Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.</div>
<div></div>
<div>Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.</div>
<div></div>
<div><b>Salary</b> - Your fixed pay is the guaranteed pay as per your contract of employment.</div>
<div></div>
<div><b>Performance Bonus</b> - Opportunity to earn additional compensation bonus based on performance, paid annually</div>
<div></div>
<div><b>Leave &amp; Time-off </b>- Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.</div>
<div></div>
<div><b>Making Retirement Tension-FreeSalary</b> - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.</div>
<div></div>
<div><b>Health is Wealth</b> - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.</div>
<div></div>
<div><b>Mental Wellbeing</b> - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.</div>
<div></div>
<div><b>Financial Wellbeing</b> - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.</div>
<div></div>
<div><b>Save As You Earn (SAYE)</b> - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.</div>
<div></div>
<div><b>Physical Wellbeing</b> - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.</div>
<b>About Us</b><br>
<div>
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values&mdash;we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.</div>
<div></div>
<div> At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.</div>
<div></div>
<div> We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly&mdash;spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone&rsquo;s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.</div></div>

Lead Decision scientist

Shamrock Value Private Limited

<p><b>Senior Data Scientist - Digital Transformation Projects</b></p><p><b>Location</b>: Hyderabad (Work From Office)</p><p><b>Experience</b>: 4-8 years |</p><p><b>About the Role:</b></p><p>We are seeking a Senior Data Scientist to join our digital transformation team. The role involves developing advanced AI/ML models that enable customer-centric strategies, predictive analytics, and personalized marketing. You will drive model innovation, validation, and deployment across large-scale data environments.</p><p><b>Key Responsibilities:</b></p><p>- Design and deploy machine learning models for segmentation, churn prediction, personalization, and campaign optimization.</p><p>- Develop and maintain Customer 360 frameworks and predictive analytics pipelines.</p><p>- Ensure model quality, monitoring, and drift detection through robust validation and retraining processes.</p><p>- Integrate AI models with business dashboards and GUI interfaces for real-time decision support.</p><p>- Collaborate cross-functionally with Martech, digital, and commercial teams to operationalize insights.</p><p>- Lead and mentor junior data scientists and ensure high-quality deliverables.</p><p><b>Key Skills &amp; Competencies</b></p><p>- Technical: Python, SQL, Scikit-learn, TensorFlow/PyTorch, Feature Engineering, ML Frameworks</p><p>- Cloud/Data Platforms: Snowflake, AWS, Azure, GCP, Databricks, Spark</p><p>- Applied Analytics: Customer 360, Churn Prediction, Personalization, Marketing Analytics</p><p>- Model QA &amp; MLOps: Model Validation, Drift Monitoring, Model Retraining, Monitoring Frameworks</p><p>- Visualization &amp; Deployment: Streamlit, Power BI, Tableau, Dashboard Integration, API Deployment</p><p>- Soft Skills: Strong communication, analytical thinking, and team leadership</p><p>Ideal Candidate:</p><p><b>- Master's in Data Science, Statistics, or Computer Science</b></p><p><b>- 4-8 years of experience in applied data science and model validation</b></p><p><b>- Proven ability to convert insights into business impact through advanced analytics</b></p><p><b>- Available for immediate or 30-day joining in Hyderabad (WFO only)</b></p><p><b>Why Join</b></p><p>Work on modern AI/ML architecture with top-tier cloud technologies</p><p>Collaborative, data-driven culture with opportunities to lead transformation projects</p><p>Competitive pay and continuous learning environment</p><p>Job Type: Full-time</p><p>Pay: &#8377;2,000,000.00 - &#8377;4,000,000.00 per year</p><p>Work Location: In person</p>

Senior Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li><div>Design, develop, and deploy state-of-the-art <b>ML and Generative AI models</b> (e.g., LLMs, Transformers, Diffusion Models).</div></li>
</ul>
</div><div><ul><li><div>Conduct <b>applied research</b> in areas such as NLP, time-series, reinforcement learning, computer vision, or multimodal learning.</div></li>
</ul>
</div><div><ul><li><div>Collaborate with cross-functional teams including sales team, data engineers, agentic AI, Hyperscalers, MLOps, and product managers to build scalable solutions.</div></li>
</ul>
</div></div></div></div><div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>380404</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | Machine Learning | Python | Statistics</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data scientist

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