data science lead

Metyis AG

<div>Metyis is growing! We are looking for a Data Science Lead, specialised in Generative Artificial Intelligence, with 6 - 8 years of experience, to join our Data and Analytics team based in Gurgaon.<h2 class="jobSectionHeader"> 
Who we are</h2>
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI &amp; Data, Digital Commerce, Marketing &amp; Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.<h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Interact with C-level at our clients on regular basis to drive their business towards impactful change.</li><li>
Lead your team in creating new business solutions.</li><li>
Seize opportunities at the client and at Metyis in our entrepreneurial environment.</li><li>
Become part of a fast growing international and diverse team.</li></ul><h2 class="jobSectionHeader">
What you will do</h2><ul><li>
Lead the strategy, design, and implementation of generative AI solutions across multiple business domains.</li><li>
Manage and mentor a team of analysts and associates, fostering technical excellence and professional growth.</li><li>
Act as a bridge between technical teams and business stakeholders, ensuring alignment of AI initiatives with strategic goals.</li><li>
Evaluate emerging technologies and guide the organization&rsquo;s generative AI roadmap.</li><li>
Present complex AI concepts and results to executive leadership and clients in a compelling and business-relevant manner.</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll bring</h2><ul><li>
6 to 8 years of professional work experience</li><li>
Over 3 years of working experience in AI</li><li>
Extensive experience in developing and leading generative AI projects from concept to deployment.</li><li>
Expert-level knowledge of machine learning, deep learning, and generative AI methodologies.</li><li>
Strong leadership and team management skills.</li><li>
Proficiency in Python and advanced AI tools and platforms.</li><li>
Deep familiarity with cloud infrastructure, MLOps, and scalable AI systems.</li><li>
Exceptional communication and stakeholder management skills.</li><li>
Strategic mindset with the ability to align AI initiatives with business objectives.</li><li>
Good to have:<ul><li>
Experience in a leadership role within a consulting or enterprise environment.</li><li>
Recognized thought leadership through publications, speaking engagements, or open-source contributions.</li></ul></li></ul>
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow</div>

Data Science Lead - Generative AI

<div>Metyis is growing! We are looking for a Data Science Lead, specialised in Generative Artificial Intelligence, with 6 - 8 years of experience, to join our Data and Analytics team based in Bangalore.<h2 class="jobSectionHeader"> 
Who we are</h2>
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI &amp; Data, Digital Commerce, Marketing &amp; Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.<h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Interact with C-level at our clients on regular basis to drive their business towards impactful change.</li><li>
Lead your team in creating new business solutions.</li><li>
Seize opportunities at the client and at Metyis in our entrepreneurial environment.</li><li>
Become part of a fast growing international and diverse team.</li></ul><h2 class="jobSectionHeader">
What you will do</h2><ul><li>
Lead the strategy, design, and implementation of generative AI solutions across multiple business domains.</li><li>
Manage and mentor a team of analysts and associates, fostering technical excellence and professional growth.</li><li>
Act as a bridge between technical teams and business stakeholders, ensuring alignment of AI initiatives with strategic goals.</li><li>
Evaluate emerging technologies and guide the organization&rsquo;s generative AI roadmap.</li><li>
Present complex AI concepts and results to executive leadership and clients in a compelling and business-relevant manner.</li></ul><h2 class="jobSectionHeader">
What you&rsquo;ll bring</h2><ul><li>
6 to 8 years of professional work experience</li><li>
Over 3 years of working experience in AI</li><li>
Extensive experience in developing and leading generative AI projects from concept to deployment.</li><li>
Expert-level knowledge of machine learning, deep learning, and generative AI methodologies.</li><li>
Strong leadership and team management skills.</li><li>
Proficiency in Python and advanced AI tools and platforms.</li><li>
Deep familiarity with cloud infrastructure, MLOps, and scalable AI systems.</li><li>
Exceptional communication and stakeholder management skills.</li><li>
Strategic mindset with the ability to align AI initiatives with business objectives.</li><li>
Good to have:<ul><li>
Experience in a leadership role within a consulting or enterprise environment.</li><li>
Recognized thought leadership through publications, speaking engagements, or open-source contributions.</li></ul></li></ul>
In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow</div>

Rapidera Technologies Pvt Ltd

OverviewWe are seeking a Senior Data Scientist / Lead (7-10 yrs exp) who can architect data-driven solutions, lead ML/AI initiatives, and guide a team working on a mission-critical banking environment.The ideal candidate has deep expertise in Elasticsearch analytics, AIOps, machine learning, agentic AI, and can drive end-to-end model lifecycle and platform integration.This role requires strong engineering depth and the ability to work across cross-functional teams and customer stakeholders.Key ResponsibilitiesTechnical Leadership &amp; Architecture<ul><li>Architect ML pipelines for high-volume logs/metrics/traces ingested via Elasticsearch &amp; Kafka.&bull; Define standards for data modelling, index strategy, retention, aggregation, and search optimization.&bull; Design end-to-end AI/ML solutions integrated with AIOps workflows and customer operations.</li></ul>Advanced ML &amp; AIOps<ul><li>Build advanced models for:</li></ul>o Incident prediction &amp; noise reductiono Event correlation &amp; causal clusteringo Predictive capacity planningo Automated RCA&bull;Lead design of reinforcement learning or agentic AI systems to automate incident triage.Agentic AI / LLM Innovation<ul><li>Build and deploy agentic AI solutions for:</li></ul>o Automated RCA assistantso Observability copilotso Log/metric narrative generationo Knowledge graph + RAG systems for SRE &amp; Ops intelligence&bull;Evaluate appropriate foundation models &amp; vector search approaches using Elasticsearch/OpenSearch/similar tools.Stakeholder Management &amp; Delivery<ul><li>Collaborate with architects, SMEs, and client teams to translate requirements into scalable ML solutions.&bull; Lead a small team of DS/ML/DE members; conduct code reviews, mentor, and ensure engineering quality.&bull; Manage project delivery, roadmaps, PoCs, and continuous improvement initiatives.</li></ul>Required SkillsTechnical Expertise<ul><li>Deep hands-on experience with Elasticsearch query DSL, aggregations, anomaly detection modules, index management, tuning &amp; scaling.&bull; Strong Kafka experience: stream processing, consumers, producers, and integration with ML pipelines.&bull; Expert-level Python for ML engineering; experience with PyTorch/TensorFlow preferred.&bull; Advanced experience with AIOps ecosystems: Dynatrace, Grafana, Prometheus, Kibana, or similar.&bull; Strong exposure to LLMs, agentic AI, embeddings, vector search, and retrieval pipelines.&bull; Hands-on with designing scalable microservices for inference and automation workflows.&bull; Experience working with distributed systems and performance optimization.</li></ul>Leadership Skills<ul><li>Ability to guide DS/ML teams while still being hands-on.&bull; Strong communication: able to explain complex data concepts to non-technical stakeholders.&bull; Demonstrated experience driving end-to-end delivery in enterprise environments.</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Science or related fields.&bull; 7&ndash;10 years of experience in Data Science / ML Engineering.&bull; Prior experience in enterprise-scale environments (Banking/NBFC/Telecom preferred).</li></ul>Job Type: Full-timePay: &#8377;3,600,000.00 - &#8377;4,800,000.00 per yearWork Location: In person

Lead Data Scientist

Alpha Group of Companies

Job SummaryWe are seeking a Senior Data Scientist to lead the design and implementation of advanced analytics and data science solutions. This role requires a strong foundation in statistics, machine learning, data engineering, and domain-driven problem solving. The ideal candidate will have experience building end-to-end data science solutions, from exploratory data analysis and feature engineering to production-ready-models and business insights. You will collaborate closely with engineers, analysts, and business stakeholders to drive measurable outcomes.Key Responsibilities&#61623; Design, build, and evaluate predictive and prescriptive models (regression, classification, forecasting, clustering, recommendation systems).&#61623; Apply advanced ML methods (gradient boosting, ensemble models, transformers for tabular/text, probabilistic models).&#61623; Conduct A/B tests and causal inference to measure business impact.&#61623; Perform exploratory data analysis (EDA) using statistical and visualization tools.&#61623; Translate data findings into actionable insights with clear storytelling for non-technical audiences.&#61623; Build dashboards and reports to support decision-making.&#61623; Work with SQL, Spark, Dask, or BigQuery to process and transform large datasets.&#61623; Collaborate with data engineers to ensure high-quality, reliable data pipelines.&#61623; Apply feature engineering, data augmentation, and missing data handling strategies.&#61623; Contribute to model deployment using MLflow, SageMaker, Vertex AI, or Azure ML.&#61623; Support model monitoring and retraining strategies.&#61623; Use Python (Pandas, NumPy, Scikit-learn, Statsmodels, PyTorch/TensorFlow), R, SQL,and Jupyter for analysis and modeling.&#61623; Use visualization &amp;amp; BI tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau, Looker).&#61623; Track experiments with MLflow, DVC, or Weights &amp; Biases.&#61623; Partner with product managers and business teams to frame problems and definesuccess metrics.&#61623; Mentor junior data scientists and analysts.&#61623; Champion data-driven decision-making across the organization.Required Qualifications &amp;amp; Skills&#61623; Strong programming skills in Python and SQL; familiarity with R or Julia is a plus.&#61623; Solid foundation in statistics, probability, linear algebra, and hypothesis testing.&#61623; Experience with machine learning techniques (supervised/unsupervised learning,ensembles, time series).&#61623; Proficiency with data visualization and ability to communicate insights effectively.&#61623; Hands-on experience with big data tools (Spark, Dask, BigQuery).&#61623; Cloud experience with AWS, GCP, or Azure for data science workflows.&#61623; Familiarity with version control (Git), experiment tracking, and reproducibleworkflows.&#61623; Excellent communication, collaboration, and problem-solving skills.&#61623; Proven ability to mentor junior engineers and lead initiatives.Preferred Qualifications&#61623; Domain expertise in manufacturing, healthcare, retail, or e-commerce applications.&#61623; Experience with NLP or computer vision applied to data-rich use cases.&#61623; Hands-on experience with causal inference, Bayesian methods, or reinforcementlearning for experimentation.&#61623; Prior open-source contributions, publications, or patents.&#61623; Experience with BI/analytics strategy and executive-level presentations.Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.</li><li>PhD or strong research experience is a plus, but not required.</li><li>5&ndash;7+ years of professional experience in data science or advanced analytics, with evidence of driving business impact.</li></ul>What We Offer&#61623; High-impact data science projects that solve real-world problems.&#61623; Continuous learning opportunities with cloud credits, courses, and conference sponsorships.&#61623; Competitive salary, benefits, and performance-based incentives.&#61623; Flexible hybrid/remote working environment.&#61623; A culture of collaboration, innovation, and knowledge sharing.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthExperience:<ul><li>Relevant: 5 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

Senior Data Scientist

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

Ras Al Khaimah Economic Zone (RAKEZ)

<div>
 
 
 JOB PURPOSE
 
 
 
 
 
 
 The Senior Data Scientist leads the development of advanced analytical models and AI/ML systems to power strategic decision-making and automation across RAKEZ. The role is central to building models that support lead scoring, customer retention, churn prediction, lifetime value estimation, and operational optimization.
 
 
 
 
 
 This position will drive cross-functional collaboration with stakeholders in strategy, sales, finance, and operations while mentoring junior team members and advancing the maturity of RAKEZ&rsquo;s data science capabilities.
 
 
 
 
 
 
 CORE RESPONSIBILITIES
 
 
 
 
 
 
 
 Data Integration &amp; Exploratory Analysis:
 
 
 
 
 
 <ul>
 <li>
 Integrate, clean, and prepare data from multiple structured and unstructured sources including CRM, ERP, web analytics, and external datasets.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover trends, correlations, and anomalies.
 </li>
 <li>
 Generate insights and hypotheses to guide feature engineering and model selection.
 </li>
 <li>
 Work with data engineers to ensure data pipelines support model requirements and retraining strategies.
 </li>
 </ul>
 
 
 
 
 
 Feature Engineering &amp; Data Preparation:
 
 
 
 
 
 <ul>
 <li>
 Engineer meaningful features from raw and semi-structured datasets to improve model accuracy and interpretability.
 </li>
 <li>
 Address data quality issues through imputation, outlier handling, normalization, and transformation techniques.
 </li>
 <li>
 Contribute to strategies for data augmentation and enrichment to enhance model input quality and generalizability.
 </li>
 </ul>
 
 
 
 
 
 Model Development &amp; Experimentation:
 
 
 
 
 
 <ul>
 <li>
 Build, evaluate, and refine machine learning and statistical models for use cases such as lead conversion, churn risk, and customer segmentation.
 </li>
 <li>
 Design experiments (e.g., A/B testing) and perform hypothesis testing to validate model impact.
 </li>
 <li>
 Use appropriate modeling techniques (e.g., ensemble learning, regression, classification, clustering) based on business needs.
 </li>
 </ul>
 
 
 
 
 
 Explainability, Validation &amp; Monitoring:
 
 
 
 
 
 <ul>
 <li>
 Generate and communicate explainable AI insights using tools like SHAP and LIME.
 </li>
 <li>
 Conduct rigorous model validation, cross-validation, and post-deployment monitoring.
 </li>
 <li>
 Partner with Data and ML Engineers to integrate monitoring and retraining pipelines.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Communication:
 
 
 
 
 
 <ul>
 <li>
 Translate business objectives into analytical workflows and deliver insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with data engineers, analysts, and product owners to align on delivery timelines and priorities.
 </li>
 <li>
 Present models and recommendations clearly to leadership and technical teams.
 </li>
 </ul>
 
 
 
 
 
 Research &amp; Continuous Learning:
 
 
 
 
 
 <ul>
 <li>
 Research and implement state-of-the-art techniques and tools in machine learning, deep learning, and artificial intelligence to ensure that systems created are efficient and effective.
 </li>
 <li>
 Stay updated on industry trends, academic research, and emerging AI/ML methodologies.
 </li>
 <li>
 Recommend and implement novel approaches to improve model performance and business outcomes.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS, EXPERIENCE, &amp; SKILLS
 
 
 
 
 
 
 
 Educational Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or related field.
 </li>
 <li>
 PhD is a plus and may substitute for years of work experience.
 </li>
 </ul>
 
 
 
 
 
 Professional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Deep understanding of machine learning algorithms, statistical modeling, and experimentation design.
 </li>
 <li>
 Proficiency in Python, SQL, and libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.
 </li>
 <li>
 Familiarity with model interpretability techniques and tools (e.g., SHAP, LIME).
 </li>
 <li>
 Strong experience in source systems such as SAP ERP, Salesforce CRM, SaaS Applications, Google Analytics and structured/unstructured data sources.
 </li>
 </ul>
 
 
 
 
 
 Required Experience:
 
 
 
 
 
 <ul>
 <li>
 7+ years of experience in applied data science, ideally within CRM, finance, or operational use cases.
 </li>
 <li>
 Experience in building production-grade models and partnering with MLOps for deployment.
 </li>
 <li>
 Proven track record of delivering business value from data science initiatives.
 </li>
 </ul>
 
 
 
 
 
 Other requirements:
 
 
 
 
 
 <ul>
 <li>
 Excellent communication skills with both technical and business stakeholders.
 </li>
 <li>
 Passion for solving real-world problems using AI/ML.
 </li>
 <li>
 Experience in agile delivery environments is preferred.
 </li>
 </ul>
 
 
</div>

Bupa

<div><h4 class="jobSectionHeader">Job Description</h4>
<div>Role Purpose:

To lead the identification, development, and implementation of Artificial Intelligence (AI) solutions within Bupa Arabia, specifically leveraging AI to enhance healthcare services, operational efficiency, and member experience. This role drives AI initiatives from conceptualization to deployment, ensuring alignment with strategic objectives and fostering innovation across the organization. 


Key Accountabilities:

1-AI Solution Design &amp; Delivery:
<ul>
<li>Lead the end-to-end design, development, and deployment of AI/ML models and solutions.</li>
<li>Collaborate with cross-functional teams (e.g., data science, engineering, business units) to translate requirements into technical specifications.</li>
<li>Ensure AI solutions are scalable, secure, and integrated seamlessly into existing systems, including Bupa Care Connect.</li>
</ul>
2-Performance Monitoring &amp; Optimization:
<ul>
<li>Establish robust monitoring frameworks to track the performance and impact of deployed AI models.</li>
<li>Analyse AI model outputs and business metrics to identify areas for improvement and optimization.</li>
<li>Implement iterative enhancements and retraining strategies to maintain model accuracy and relevance.</li>
</ul>
3-Ensure Compliance with AI Ethics &amp; Governance:
<ul>
<li>Review models for bias and fairness</li>
<li>Document compliance checks</li>
<li>Liaise with governance committees</li>
</ul>
4-Stakeholder Collaboration &amp; Enablement:
<ul>
<li>Act as a subject matter expert, providing guidance and support on AI capabilities to various business units.</li>
<li>Foster strong relationships with internal stakeholders to understand their needs and champion AI adoption.</li>
<li>Conduct workshops and training sessions to enhance AI literacy across the organization.</li></ul></div> 

<h4 class="jobSectionHeader">Skills</h4>
<div><ul><li>Deep expertise in Artificial Intelligence, Machine Learning, and Data Science principles</li>
<li>Proficiency in AI/ML frameworks and programming languages (e.g., Python, TensorFlow, PyTorch)</li>
<li>Strong analytical, problem-solving, and critical thinking skills</li>
<li>Excellent communication, presentation, and stakeholder management abilities</li>
<li>Project management methodologies (Agile/Scrum)</li>
<li>People Management Skills, including: Team leadership and motivation, Conflict resolution and coaching, Performance monitoring and feedback, Building collaborative and inclusive team culture</li>
</ul></div>
<h4 class="jobSectionHeader">Education</h4>
<div>Bachelor degree in Computer Science, Artificial Intelligence, Data Science, or a related</div></div>

Artificial Intelligence

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