data science specialist

Thomas Ren Associates Ltd

<div>
 
 
 Enterprise Data Science Lead &ndash; Applied AI (Corporate Finance)
 
 
 
 
 Location:
 
 Abu Dhabi, UAE |
 
 Full-time
 
 
 
 Are you passionate about transforming finance through AI? A leading Financial Institution is looking for an experienced
 
 Enterprise Data Science Lead
 
 to drive applied AI initiatives within its Corporate Finance division.
 
 
 This is a high-impact role for someone who thrives at the intersection of cutting-edge technology and strategic business outcomes.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy AI/ML models to optimize financial decision-making and operations.
 </li>
 <li>
 Develop domain-specific LLMs and RAG pipelines for intelligent automation.
 </li>
 <li>
 Collaborate with Finance, Risk, and Tech teams to identify and deliver AI opportunities.
 </li>
 <li>
 Automate workflows using agent-based AI tools.
 </li>
 <li>
 Evaluate and integrate third-party AI solutions.
 </li>
 <li>
 Champion responsible AI practices (bias detection, explainability, compliance).
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a technical field (CS, Math, Engineering).
 </li>
 <li>
 10&ndash;12 years in applied data science or AI/ML delivery.
 </li>
 <li>
 Hands-on experience with LLM frameworks (LangChain, HuggingFace, Azure OpenAI).
 </li>
 <li>
 Strong MLOps background (CI/CD, monitoring, testing).
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Tools
 
 
 
 Python | PyTorch | TensorFlow | LangChain | FAISS | Pinecone
 
 
 Azure ML | Snowflake | Airflow | MLflow | SHAP | LIME
 
 
 
 
 
 This role reports to the
 
 Chief Data Analytics Officer
 
 .
 
 
 
 
 
 
 Why Join?
 
 
 <ul>
 <li>
 Lead transformative AI initiatives in a dynamic finance environment.
 </li>
 <li>
 Collaborate with top-tier professionals across disciplines.
 </li>
 <li>
 Competitive compensation and benefits.
 </li>
 <li>
 Shape the future of AI in corporate finance.
 </li>
 </ul>
 
 
 
 
 
 Interested or know someone who fits the bill?
 
 
 
 Let&rsquo;s connect! Drop your CV or tag someone in the comments.
 
 
 
 AIJobs #DataScience #LLM #FinanceCareers #MLOps #Hiring #AbuDhabiJobs #TechLeadership #AppliedAI #CorporateFinance
 
 
</div>

Data Science Specialist

Commercial Bank

<div>
 
 
 
 About Commercial Bank of Qatar:
 
 
 
 
 Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar&rsquo;s economic development by offering a range of personal, business, government, international and investment services. We believe in empowering our employees, providing them with opportunities for growth and professional development.
 
 
 By Joining us, you&rsquo;ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.
 
 
 
 Join us in shaping the future of banking!
 
 
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 At Commercial Bank, data is a key driver in strategic decision making; the incumbent is required to have a thorough understanding of data analytics, data management principles and have ability to help the bank derive maximum value from the data available. Previous experience with data science and advanced analytical techniques, as well as AI and Machine Learning in a banking context would be a major success factor. The skills needed for the Data Scientist include technical knowledge and problem-solving and focus on delivery. The prospective candidate is expected to help take the bank&rsquo;s data science capabilities to the next level; building on a good foundation but accelerating both the capability development and the exploitation of benefits.
 
 
 
 
 
 
 Key Accountabilities
 
 
 <ul>
 <li>
 Lead the discovery processes with stakeholders to identify business requirements and expected outcomes by modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.
 </li>
 <li>
 Apply data mining techniques, perform statistical analysis, and build high quality prediction systems relevant to the business and its operations,
 </li>
 <li>
 Expected to discover information hidden in the vast amount and variety of big data sources and perform statistical analysis to produce business insights e.g. market trends, customer profile and segments, association analysis, predicted behaviour) that will enable the company to make better business decisions.
 </li>
 <li>
 Lead the utilization of various machine learning-based tools and processes such as regression, clustering principle component analysis and others within the Commercial Department.
 </li>
 <li>
 Model and frame business scenarios that are meaningful and which impact critical business decisions and processes.
 </li>
 <li>
 Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo location information or social media..
 </li>
 </ul>
 
 
 
 
 Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
 
 <ul>
 <li>
 Develop innovative and effective approaches to solve analytical problems and communicates the results and methodologies
 </li>
 <li>
 Validate findings/test hypotheses using an experimental and iterative approach e.g. scenario modelling Identify/create the appropriate algorithm to discover patterns
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's Degree or an equivalent professional qualification
 
 
 
 
 
 
 
 Minimum Experience:
 
 
 
 <ul>
 <li>
 Python or R capability
 </li>
 <li>
 Min. 2 years of experience of modelling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques, integrating and preparing large, varied massive datasets, architecting specialized database and computing environments and communicating the results to the business
 </li>
 <li>
 Expertise in reports and analysis of complex customer and/or commercial data.
 </li>
 <li>
 Specialist skills in research methodologies, consumer behavior, and market research activities.
 </li>
 <li>
 Specialist skills with Microsoft Excel.
 </li>
 <li>
 Specialist skills in different analytical and visualization systems and tools such as SSRS, SQL, Power BI, Cognos, etc.
 </li>
 <li>
 Skills in data extraction, transformation and visual analytics.
 </li>
 <li>
 Skills in customer service / customer success / customer experience or engagement
 </li>
 <li>
 Excellent written and spoken English.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, &amp; Other skills:
 
 
 
 &bull;Knowledge of banking products
 
 
 &bull;Excellent written and spoken English
 
 
 
 
 
 
 
 
 
 
 Why Commercial Bank?
 
 
 
 
 
 
 <ul>
 <li>
 
 Best Performing Bank in Qatar
 
 in The Banker&rsquo;s prestigious Top 1000
 
 World Banks Rankings 2025.
 
 </li>
 <li>
 
 Best Digital Bank in the Middle East 2024
 
 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
 </li>
 <li>
 An
 
 Innovation-Driven, Digital-First
 
 Environment where employees work with the latest tools and technologies to redefine banking
 </li>
 <li>
 Opportunities for
 
 Global Partnerships &amp; International Exposure
 
 , connecting employees with global networks and perspectives.
 </li>
 <li>
 A focus on Employee
 
 Well-being &amp; Work-Life Balance
 
 , ensuring a healthy and supportive environment for all team members
 </li>
 <li>
 
 Competitive Compensation &amp; Benefits
 
 that ensure our employees are rewarded for their dedication and performance
 </li>
 <li>
 A strong Commitment to
 
 Diversity, Equity &amp; Inclusion
 
 , fostering a culture that values every individual&rsquo;s unique perspective
 </li>
 </ul>
 
 
 
 
 At Commercial Bank, we don&rsquo;t just offer careers, We shape futures by pioneering
 
 digital transformation
 
 in Qatar&rsquo;s banking sector,
 
 blending digital-first
 
 approach to redefine banking through
 
 innovative solutions.
 
 
 
 
 
 
 
 
 
 
 
 
 Disclaimer:
 
 
 
 
 
 We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.
 
 
</div>

Data Scientist

Hirezy

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.Roles &amp; Responsibilities:<ul><li>Developing and implementing machine learning models and algorithms to solve complex business problems</li><li>Conducting data analysis and modeling using statistical and data analysis tools</li><li>Collaborating with other teams to ensure the consistency and integrity of data</li><li>Providing guidance and mentorship to junior data science and modeling specialists</li><li>Presenting findings and recommendations to stakeholders</li><li>Technical Skills</li></ul>Skills Requirements:<ul><li>Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.</li><li>Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.</li><li>Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.</li><li>Understanding of big data technologies such as Hadoop, Spark, or Hive.</li><li>Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.</li><li>Must understand the company's long-term vision and align with it.</li><li>Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.</li></ul>Qualifications<ul><li>4-6 years of work experience in relevant field</li><li>B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred</li></ul>Job Type: Full-timePay: Up to &#8377;1,600,000.00 per yearWork Location: In person

Senior Data Science and Modeling Specialist (Genai)

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

Dassault Systèmes

<div>
 Are you passionate about turning complex data into actionable insights? We're looking for a creative and analytical
 
 Data Analyst
 
 to join our team and help shape data-driven strategies across the business. This is an exciting opportunity to work in a dynamic, collaborative environment where your models and analyses will directly influence high-impact decisions.
 
 
 Dassault Syst&egrave;mes, the 3DEXPERIENCE Company, provides businesses and people with virtual universes to imagine sustainable innovations. Our 3DEXPERIENCE platform leverages the Company&rsquo;s world-leading 3D software applications to transform the way products are designed, produced, and supported. With its online architecture, the 3DEXPERIENCE environment helps businesses to test and evaluate &mdash; anywhere in the development lifecycle of a product or service &mdash; the eventual experience they will deliver to their customers. In short, 3DEXPERIENCE powers the next-generation capabilities that drive today&rsquo;s Experience Economy.
 
 
 
 Role Description &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large, complex datasets to uncover insights, trends, and opportunities that drive strategic decisions
 </li>
 <li>
 Build and deploy predictive models using machine learning techniques (e.g., regression, classification, clustering)
 </li>
 <li>
 Perform data wrangling, preprocessing, and cleaning to prepare data for analysis and modeling
 </li>
 <li>
 Design and execute experiments (e.g., A/B testing) to evaluate hypotheses and business initiatives
 </li>
 <li>
 Communicate findings and recommendations clearly to both technical and non-technical stakeholders through reports, dashboards, and presentations
 </li>
 <li>
 Collaborate closely with data engineers, product managers, and business teams to define data requirements and deliver end-to-end solutions
 </li>
 <li>
 Stay up to date with industry trends, tools, and best practices in data science and analytics
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 8+ years of experience in a data science or quantitative analytics role with a good understanding of machine learning and operations research
 </li>
 <li>
 Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
 </li>
 <li>
 Experience in data mining across different industry segments like Automobile, Infrastructure &amp; Equipment, Aerospace &amp; Defense, manufacturing, Mining etc
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, Seaborn)
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex data insights in a clear and actionable way
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Professional Growth: Opportunity to advance within the organization
 </li>
 <li>
 Learning Environment: Access to training, workshops, and skill development
 </li>
 <li>
 Collaboration: Work closely with cross-functional teams
 </li>
 <li>
 Company Culture: Work in a culture of collaboration and innovation
 
 
 </li>
 </ul>
 Interested? Click on "Apply" to upload your application documents.
 
 
 Inclusion statement
 
 
 As a game-changer in sustainable technology and innovation, Dassault Syst&egrave;mes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it&rsquo;s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.
</div>

Tezo

<div><div>Role: Data Scientist</div><div>
Experience: 3-4 Years</div><div>
Location: Hyderabad (Hybrid)</div><div>
</div><div>
Tezo is seeking a highly motivated Data Scientist / AI Engineer with 3&ndash;4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI.</div><div>
</div><div>
Why Join Our AI/ML Practice?</div><div>
Purpose-driven: Work on projects that create meaningful impact for clients.</div><div>
Collaborative: Learn and contribute in a team that values sharing ideas and teamwork.</div><div>
Continuous Growth: Get mentorship, hands-on training, and exposure to cutting-edge tools.</div><div>
Accountable &amp; Trusted: Take ownership of your learning and contribute to team outcomes.</div><div>
</div><div>
Key Responsibilities</div><ul><li>
Collaborate with stakeholders to understand business challenges and translate them into data science problems.</li><li>
Design, develop, and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.).</li><li>
Preprocess, clean, and analyze large structured and unstructured datasets.</li><li>
Deploy ML models into production environments using MLOps practices.</li><li>
Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions.</li><li>
Conduct experiments, perform model validation, and optimize performance.</li><li>
Develop dashboards and visualizations to communicate insights to business teams.</li><li>
Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance.</li></ul><div>
</div><div>
Required Skills</div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.</li><li>
3&ndash;4 years of hands-on experience in data science and AI projects.</li><li>
Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.</li><li>
Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling.</li><li>
Experience with SQL and data manipulation.</li><li>
Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines).</li><li>
Experience working with cloud platforms (AWS, Azure, GCP).</li><li>
Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.</li><li>
Experience with large language models (LLMs) and generative AI.</li></ul></div><div></div>

Coursera

<div>
 Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with
 
 183 million registered learners as of June 30, 2025
 
 . Coursera partners with
 
 over 350 leading university and industry partners
 
 to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.
 
 
 We're a global platform aiming to transform lives through learning by offering transformative courses, certificates, and degrees that empower learners worldwide to advance their careers through skill mastery. We're looking for inventors, innovators, and lifelong learners eager to shape the future of education. If you're ready to build the global programs and tools that fuel the power of online learning, join Team Coursera.
 
 
 
 At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.
 
 
 
 
 Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.
 
 
 
 
 Job Overview:
 
 
 
 At Coursera, our Data Science team is helping to build the future of education through data-driven decision making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join our Data Science team. In this role, you will report directly to the Director of Data Science and play a pivotal role in shaping our consumer strategy through data-driven insights and analytics. You will leverage your expertise in user behavior tracking, KPI development and monitoring, instrumentation, A/B testing, and advanced analytics techniques to gain a deep understanding of how users interact with our platform. Your insights will directly inform consumer strategies, product development, enhance user experience, and drive engagement across various segments.
 
 
 Our ideal candidate possesses strong analytical skills, business acumen, and the ability to translate analysis into actionable recommendations that drive product improvements and user engagement. You should have excellent written and verbal communication skills. Collaborating closely with cross-functional teams, you will ensure that data informs every aspect of business decision-making.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build and automate relevant KPIs to report on business performance.
 </li>
 <li>
 Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
 </li>
 <li>
 Develop and maintain data pipelines to ensure seamless data flow and accessibility for analysis.
 </li>
 <li>
 Analyze user behavior to provide actionable insights that inform product enhancements and drive user engagement.
 </li>
 <li>
 Conduct A/B testing and experimentation to evaluate the impact of product features and optimize user experience.
 </li>
 <li>
 Perform advanced analytics to uncover trends and patterns in user data, guiding product development decisions.
 </li>
 <li>
 Create interactive dashboards and reports to visualize data and communicate findings effectively to stakeholders.
 </li>
 <li>
 Leverage statistical analysis and predictive modeling to inform product roadmap and strategic decisions.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
 </li>
 <li>
 
 4-6 years
 
 of experience using data to advise product or business teams, with a focus on product analytics.
 </li>
 <li>
 Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy).
 </li>
 <li>
 Knowledge of data pipeline development and best practices in data management.
 </li>
 <li>
 Strong applied statistics skills, including experience with statistical inference techniques, predictive modeling and A/B testing methodologies.
 </li>
 <li>
 Intermediate proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and a willingness to learn new tools as needed.
 </li>
 <li>
 Excellent business intuition and project management abilities.
 </li>
 <li>
 Effective communication and presentation skills, with experience presenting to diverse teams and stakeholders, from individual contributors to executives.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Familiarity with the educational technology sector, specifically with platforms like Coursera
 </li>
 <li>
 Experience with Airflow, Databricks and/or Looker
 </li>
 <li>
 Experience with Amplitude
 
 
 </li>
 </ul>
 
 If this opportunity interests you, you might like these courses on Coursera:
 
 
 
 Go Beyond the Numbers: Translate Data into Insights
 
 
 Applied AI with DeepLearning
 
 
 Probability &amp; Statistics for Machine Learning &amp; Data Science
 
 
 Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.
 
 
 If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
 
 
 For California Candidates, please review our CCPA Applicant Notice here.
 
 
 For our Global Candidates, please review our GDPR Recruitment Notice here.
</div>

Data Scientist II - Analytics

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