applied data scientist

Chalhoub Group

<div>INSPIRE | EXHILARATE | DELIGHT
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040. 
What You'll Be Doing
We are looking for a Senior Data Scientist to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.
Key Accountabilities
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
What You&rsquo;ll Need To Succeed
<ul><li>5&ndash;7 years of experience in applied data science or machine learning.</li><li>Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).</li><li>Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.</li><li>Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.</li><li>Knowledge of model performance metrics, statistical validation, and A/B testing approaches.</li><li>Familiarity with bias detection techniques and fairness frameworks.</li><li>Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.</li><li>Comfort working with structured and semi-structured data, including tabular and time-series formats.</li><li>Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.</li><li>Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.</li><li>Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.</li></ul>
What We Can Offer You
With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
We Invite All Applicants to Apply
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</div>

Senior Data Scientist

<div>HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K&ndash;12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students&rsquo; potential and extend teachers&rsquo; capabilities.
HMH serves more than 50 million students and 4 million educators in 150 countries. HMH Technology India Pvt. Ltd. is our technology and innovation arm in India focused on developing novel products and solutions using cutting-edge technology to better serve our clients globally. HMH aims to help employees grow as people, and not just as professionals.
We are seeking a mid-level Machine Learning Engineer to join our Data Science, Reporting &amp; Analytics team. This role will focus on designing, developing, and deploying ML models that drive insights and automation across enterprise platforms. The ideal candidate will have strong algorithmic thinking, hands-on experience with ML frameworks, and a collaborative mindset to work closely with data scientists and engineers. 
Key Responsibilities<ul><li>
Model Development: Build, train, and validate machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.</li><li>
Data Preparation: Collaborate with data engineers to source, clean, and transform data for modeling purposes.</li><li>
Deployment &amp; Monitoring: Package models for deployment using MLOps tools; monitor performance and retrain as needed.</li><li>
Feature Engineering: Design and implement robust feature pipelines to improve model accuracy and efficiency.</li><li>
Collaboration: Work closely with analysts, product teams, and business stakeholders to translate requirements into ML solutions.</li><li>
Governance &amp; Compliance: Ensure models adhere to data privacy, security, and ethical AI standards.</li><li>
Documentation &amp; Support: Maintain model documentation and provide support for production ML workflows.</li></ul> 
Skills &amp; Qualifications<ul><li>
8&ndash;12 years of experience in machine learning or applied data science roles.</li><li>
Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).</li><li>
Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).</li><li>
Strong understanding of statistics, model evaluation, and optimization techniques.</li><li>
Familiarity with version control, CI/CD, and MLOps practices. 
Excellent problem-solving and communication skills.</li></ul> 
Preferred Experience<ul><li>
Exposure to NLP, computer vision, or time-series modeling.</li><li>
Experience integrating ML models into enterprise applications or data platforms.</li><li>
Prior work in ed-tech or large-scale analytics environments is a plus.</li></ul> 
HMH Technology Private Limited is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation.</div>

Staff Machine Learning Engineer

Tesco

<div>About the role<div> 
Job Summary: 
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable 
data driven decisions and deliver on organization's key strategic priorities 
In this job, I&rsquo;m accountable for: 
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: 
<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 
solution document calling out how application of data science will improve decision making 
<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 
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a 
visualization platform (Tableau / Python) or through a recommendation set through PPTs 
<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 
<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></div> 
You will be responsible for 
<div>
Refer &quot;About the role&quot;</div>
You will need 
<div>
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable 
data driven decisions and deliver on organization's key strategic priorities 
In this job, I&rsquo;m accountable for: 
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: 
<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 
solution document calling out how application of data science will improve decision making 
<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 
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a 
visualization platform (Tableau / Python) or through a recommendation set through PPTs 
<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 
<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>
Key people and teams I work with in and outside of Tesco:</div>
Whats in it for you? 
<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>Salary - Your fixed pay is the guaranteed pay as per your contract of employment.</div>
<div></div>
<div>Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually</div>
<div></div>
<div>Leave &amp; Time-off - 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>Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.</div>
<div></div>
<div>Health is Wealth - 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>Mental Wellbeing - 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>Financial Wellbeing - 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>Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.
</div>
<div></div><div>Physical Wellbeing - 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>
About Us 
<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

Ampstek

<div>
 
 Hi Professionals,
 
 
 
 
 
 Greetings From Ampstek!!
 
 
 
 
 
 Hope you are high in your spirits. Please stay safe.
 
 
 
 
 
 Our client is looking for
 
 Applied Scientist
 
 to join a high-growth organization. If you are interested share you resume
 
 sudhakaran.m@ampstek.com
 
 
 
 
 
 
 
 Role: Applied Scientist
 
 
 
 
 Location: Cairo, Egypt(Onsite 5days/Week)
 
 
 
 
 Duration: Contract
 
 
 
 
 
 
 
 Job Description :
 
 
 
 
 
 
 Required skills:
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Thanks &amp; Regards,
 
 
 
 
 Sudhakaran
 
 
 
 
 IT Recruiter | Europe &amp; UK
 
 
 
 
 Email - sudhakaran.m@ampstek.com
 
 
 
 
 Tel - +44(20)45150009
 
 
 
 
 Ampstek Services Limited
 
 
</div>

Applied Scientist

Paarsh E-Learning

Paarsh Infotech Pvt Ltd is looking to hire a highly creative data scientist to address data analytics challenges in our organization, collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested parties.To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. Top candidates will be persistent and have excellent analytical and problem-solving skills.Data Scientist Responsibilities:<ul><li>Having meetings with team members regarding projects.</li><li>Collecting and interpreting data.</li><li>Automating and integrating processes.</li><li>Researching solutions to overcome data analytics challenges.</li><li>Developing complex mathematical models that integrate business rules and requirements.</li><li>Creating machine learning models.</li><li>Communicating and meeting with engineers, IT teams, and other interested parties.</li><li>Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders.</li></ul>Data Scientist Requirements:<ul><li>A MSc or PhD degree in applied mathematics or statistics.</li><li>Advanced coursework in machine learning and programming.</li><li>Experience using data visualization tools.</li><li>Experience with data querying languages, and statistical or mathematical software.</li><li>Proficient in writing algorithms, and knowing when to apply them.</li><li>Excellent understanding of statistics, multivariable calculus, and linear algebra.</li><li>Outstanding communication skills.</li></ul>Job Type: Full-timePay: From ₹15,000.00 per monthWork Location: In person

Data Scientist

TRB 360

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul / Ankara
 
 
 
 Work Model:
 
 Hybrid
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are supporting one of our client companies in their search for a Data Scientist.
 
 
 The selected candidate will contribute to the development of the company&rsquo;s next-generation AI and quantitative analytics infrastructure. You will work with large-scale financial, operational, and alternative datasets to build, evaluate, and optimize predictive models that enhance forecasting, trading analytics, and risk management.
 
 
 This role focuses on transforming complex, multi-source data into predictive systems that strengthen the company&rsquo;s analytical and trading performance.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 &bull; Collect, preprocess, and structure large-scale financial, operational, and alternative datasets to support quantitative and AI modeling.
 
 
 &bull; Develop and test mathematical, statistical, and econometric models to identify patterns, anomalies, and predictive relationships in target markets.
 
 
 &bull; Conduct time-series analysis, feature engineering, and hypothesis testing to extract predictive insights.
 
 
 &bull; Support model training, validation, and versioning pipelines to ensure reproducibility and scalability.
 
 
 &bull; Collaborate with quantitative analysts and engineers to integrate data-driven models into production environments.
 
 
 &bull; Contribute to the continuous improvement of data quality, reliability, and performance metrics.
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, or a closely related discipline.
 
 
 &bull; Solid understanding of calculus, linear algebra, probability, statistics, optimization, numerical methods, and algorithmic reasoning.
 
 
 &bull; Minimum 2 years of experience in applied mathematical modeling or data analysis within scientific, engineering, or financial domains.
 
 
 &bull; Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib) for data manipulation and model development.
 
 
 &bull; Experience with time-series data, regression models, and statistical hypothesis testing.
 
 
 &bull; Ability to build and manage data workflows in big data and cloud environments (e.g., Spark, AWS, GCP).
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 &bull; Experience with machine learning or deep learning for financial data applications.
 
 
 &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 
 
 &bull; Relevant certifications such as CFA, FRM, or training in Quantitative Finance.
 
 
 
 
 
 
 Soft Skills
 
 
 
 
 
 
 &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 
 
 &bull; Strong collaboration and coordination capabilities across cross-functional teams.
 
 
 &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 
</div>

Data Scientist (Istanbul- Ankara)

UMATR

<div>
 
 
 Title:
 
 Lead Data Scientist &ndash; Integrity &amp; Safety
 
 
 
 
 
 
 Tech Stack:
 
 Python, SQL, PyTorch, Transformers, Scikit-learn, OpenCV, NLP, Multimodal (CLIP/ViT + BERT), Graph Learning, Kafka/Redis Streams
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 
 As the Senior Data Scientist for Integrity &amp; Trust, you will protect millions of buyers and sellers by building AI-driven defense systems that detect fraud, remove counterfeit products, and maintain platform quality. Your work directly impacts trust and growth in a high-COD environment, ensuring the platform remains secure and reliable.
 
 
 You will:
 
 <ul>
 <li>
 Build and deploy supervised and unsupervised ML models for policy violation, counterfeit, and fraud detection.
 </li>
 <li>
 Lead and grow the Integrity, Safety &amp; Trust pod, mentoring applied data scientists and delivering end-to-end projects with measurable business outcomes.
 </li>
 <li>
 Design feature pipelines leveraging product text, images, seller behavior, and transaction data.
 </li>
 <li>
 Apply NLP models for text classification, entity extraction, and multilingual 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 real-time monitoring for detection and escalation (Elastic, Grafana).
 </li>
 <li>
 Optimize model precision/recall tradeoffs balancing enforcement and user experience.
 </li>
 <li>
 Work with graph learning, anomaly detection, and multimodal data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Who They Are:
 
 
 
 You&rsquo;ll be joining a high-growth e-commerce platform focused on marketplace trust and safety. The team operates in a complex, fast-paced environment where your AI solutions will directly impact millions of users. This is a chance to lead a critical function, scale a data science team, and implement cutting-edge AI techniques to ensure platform integrity.
 
 
 
 
 
 
 What Is In It For You:
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Additional perks and growth opportunities
 </li>
 <li>
 35k SAR
 </li>
 </ul>
 
 
 
 
 
 Who You Are:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 5+ years of applied ML experience, with 2+ years in Trust &amp; Safety, Integrity, or Fraud Detection systems
 </li>
 <li>
 Experience with multimodal text-image modeling (OCR, CLIP/ViT, layout analysis), taxonomy/attribute extraction, policy classification, and Arabic/English content moderation
 </li>
 <li>
 Strong Python, SQL, and ML library skills (PyTorch, Transformers, Scikit-learn, 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/low-quality detection is a plus
 </li>
 <li>
 Proven ability to build and grow applied data science teams and deliver measurable business outcomes
 </li>
 <li>
 Excellent analytical reasoning, communication, and cross-functional collaboration skills, with a strong ability to balance enforcement precision with business impact
 </li>
 </ul>
 
 
</div>

Lead Data Scientist - Integrity & Safety (Arabic Speaking)

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