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senior business/market intelligence analyst

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Tkxel

<div>
 
 
 We need a resource&mdash;ideally a data scientist&mdash;who can help prototype and validate this in the client&rsquo;s environment. Key capabilities:
 
 
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 Statistical / econometric modeling (logistic &amp; log-log regressions, hierarchical shrinkage)
 
 
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 Price-optimization or revenue-management experience
 
 
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 Python data stack (pandas, numpy, statsmodels, scikit-learn or PyMC)
 
 
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 Decision-tree segmentation and clustering
 
 
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 Simulation / scenario analysis for guard-rail testing
 
 
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 Solid SQL &amp; data-engineering fundamentals
 
 
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</div>

Data Scientist

JiBe ERP

<div>
 
 
 Job Objectives:
 
 
 
 
 
 
 JiBe is a cloud based fully integrated ERP system for the shipping industry. Our goal is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. JiBe ERP enables increased automation and streamlining of processes, creating pre-defined work flows and reducing the usage of email and paper.
 
 
 
 
 
 
 Job Responsibilities
 
 
 
 
 
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 Provide Data Analytics Platform and a function for all Web application in existing and upcoming projects. Data Analyst will turn data into information and information into insight to help drive decisions.
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 Extracts data from a variety of sources for use in analysis and models; completes ad-hoc reporting and data analysis.
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 Identify relevant data, analyze, and interpret trends or patterns in complex data sets
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 Analyze and generate actionable insights from structured and unstructured data (to be included) and effectively communicate findings and solutions with various groups
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 Perform routine reporting and ad hoc analysis of operational metric and other management reports
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 Assist with developing and using statistical modelling
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 Data scientists will be responsible for building and implementing next generation predictive models leveraging traditional and non-traditional data.
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 In addition, data scientists will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.
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 Data Scientists will work closely with internal stakeholders and be able to implement analytical solutions to drive higher ROI.
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 Data scientists will interact and at times work with external partners in the industry to ensure he/she remains abreast with the knowledge in analytics domain
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 Qualifications:
 
 
 
 
 
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 Bachelor&rsquo;s Degree in Information Technologies
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 2+ years&rsquo; professional experience
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 Advanced analytical knowledge of data
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 Conducting big data analysis
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 Developing software and data models
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 Executing predictive analytics
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 Familiarity with reporting tools
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 Proficient with one or more programming languages (Python, R, etc.)
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</div>

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
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 Collect, clean, and organize structured and unstructured data from diverse sources.
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 Ensure data accuracy, consistency, and readiness for analysis.
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 Perform thorough EDA to understand data distributions, relationships, and anomalies.
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 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
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 Work closely with business teams to identify trends and patterns that guide decisions.
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 Handle missing data, outliers, and normalization techniques effectively.
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 Transform raw data into features suitable for modeling and insights.
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 Automate and optimize data preparation pipelines.
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 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
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 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
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 Analyze and process unstructured text data for business use cases.
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 Translate complex data problems into clear, actionable insights.
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 Proactively identify opportunities for data-driven improvements across departments.
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 Conduct root cause analysis and support hypothesis-driven investigations.
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 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
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 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
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 2&ndash;3 years of experience in a data science role.
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 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
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 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
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 Solid understanding of machine learning algorithms and data modeling techniques.
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 Strong data visualization and storytelling skills.
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 Excellent problem-solving and critical thinking abilities.
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 Strong communication skills and a collaborative mindset.
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</div>

Data Scientist, Tech

A1Strategez

About the RoleWe are seeking a highly skilled Data Scientist with expertise in Large Language Models (LLMs) to join our AI/ML team. The ideal candidate will have strong foundations in NLP, deep learning, and applied machine learning with practical experience in building, fine-tuning, and deploying LLM-based solutions.Key Responsibilities<ul><li>Design, train, and fine-tune Large Language Models (LLMs) for real-world applications.</li><li>Apply techniques such as prompt engineering, few-shot learning, and transfer learning.</li><li>Work with embeddings, vector databases, and retrieval-augmented generation (RAG).</li><li>Analyze large datasets to build, evaluate, and optimize NLP pipelines.</li><li>Implement model performance monitoring, evaluation metrics, and continuous improvements.</li><li>Collaborate with cross-functional teams to integrate LLM-based solutions into products.</li><li>Stay updated with the latest research in NLP, LLMs, and generative AI.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field.</li><li>2+ years of hands-on experience in NLP or Deep Learning.</li><li>Strong experience with Python, PyTorch/TensorFlow, Hugging Face Transformers.</li><li>Experience with LLM fine-tuning (LoRA, PEFT, full fine-tuning).</li><li>Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS).</li><li>Experience with prompt engineering and evaluation frameworks.</li><li>Strong understanding of ML evaluation metrics (perplexity, BLEU, ROUGE, etc.).</li><li>Familiarity with deploying ML/LLM models in production environments.</li></ul>Nice to Have<ul><li>Experience with cloud platforms (AWS, GCP, Azure).</li><li>Knowledge of MLOps and CI/CD pipelines for ML models.</li><li>Contributions to open-source NLP/LLM projects.</li></ul>What We Offer<ul><li>Competitive salary and benefits package.</li><li>Opportunity to work on cutting-edge Generative AI projects.</li><li>Collaborative and innovative work culture.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience with fine-tuning LLMs (e.g., GPT, LLaMA, Falcon)? (Yes/No)</li><li>Which libraries have you used for NLP/LLMs? (One word: e.g., Transformers, LangChain, etc.)</li><li>Have you implemented prompt engineering techniques in real projects? (Yes/No)</li><li>Do you have hands-on experience with vector databases like Pinecone, FAISS, or Weaviate? (Yes/No)</li><li>One word: Which framework do you prefer &mdash; PyTorch or TensorFlow?</li><li>Have you worked on Retrieval-Augmented Generation (RAG) pipelines? (Yes/No)</li><li>Do you have experience with LoRA/PEFT fine-tuning? (Yes/No)</li><li>Have you deployed an LLM model in a production environment? (Yes/No)</li><li>What&rsquo;s your experience level with Hugging Face Transformers? (Beginner/Intermediate/Advanced)</li><li>Are you open to working on both research and production-level applications of LLMs? (Yes/No)</li></ul>Work Location: In person

Data Scientist (LLM)

Game District

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to provide actionable insights that drive business and game development decisions. You will work closely with game designers, developers, marketing teams, and product managers to optimize gameplay, monetization strategies, and user retention.Key Responsibilities<ul><li>Collect, clean, and organize data from multiple sources, including in-game telemetry, player feedback, and marketing campaigns.</li><li>Analyze player behavior, engagement, and monetization patterns to identify opportunities for growth and improvement.</li><li>Collaborate with cross-functional teams to provide data-driven recommendations for product updates and feature launches.</li><li>Monitor game performance in real-time and provide alerts for anomalies or significant trends.</li><li>Maintain and improve data pipelines for efficiency and scalability.</li></ul>Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Economics, or a related field.</li><li>Proven experience as a Data Analyst or in a similar analytical role.</li><li>Strong proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).</li><li>Hands-on experience with Excel, Python, or R for data manipulation.</li><li>Knowledge of statistical methods and data modeling techniques.</li><li>Excellent analytical thinking, problem-solving, and attention to detail.</li><li>Strong communication skills to explain complex findings to non-technical audiences.</li></ul>Job Type: Full-timeWork Location: In personApplication Deadline: 22/08/2025

Data Analyst

Devsinc

<div>
 
 Devsinc
 
 is looking for a talented and dynamic
 
 Data Science | Data Engineer (SE1/SE2)
 
 to join our innovative team. As a Data Science | Data Engineer, you will play a critical role in building robust data pipelines and developing data-driven solutions that empower our clients to make informed decisions. Your expertise in both data engineering and data science methodologies will be key in architecting data infrastructure, optimizing data processes, and delivering analytics solutions that meet business needs.
 
 
 
 Key Responsibilities:
 
 
 
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 Design, develop, and maintain scalable data pipelines to ensure high-quality data accessibility for analytics and modeling
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 Implement and optimize ETL processes, focusing on data transformation, integration, and cleansing
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 Collaborate with cross-functional teams to understand data requirements and deliver effective data models that support business analytics
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 Apply statistical analysis and machine learning techniques to solve complex data challenges and generate actionable insights
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 Monitor and troubleshoot data systems, ensuring data integrity and performance optimization across data workflows
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 Stay current with industry trends, technologies, and best practices in data engineering and data science
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 Contribute to the development of dashboards and reporting tools to visualize data and support decision-making processes
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 Document data processes and architectures to facilitate knowledge sharing and promote compliance with data governance standards
 
 
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 Requirements
 
 
 
 
 Qualifications:
 
 
 
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 Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
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 1-3 years of experience in data engineering, data science, or related roles
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 Proficiency in SQL and experience with database management (e.g., PostgreSQL, MySQL, MongoDB)
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 Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, or similar technologies
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 Solid understanding of machine learning algorithms and experience implementing predictive analytics models
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 Familiarity with programming languages such as Python or R for data processing and analysis
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 Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus
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 Excellent problem-solving abilities and analytical skills, with a keen attention to detail
 
 
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 Soft Skills:
 
 
 
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 Strong communication skills, capable of presenting complex data concepts to technical and non-technical stakeholders
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 A collaborative mindset, with the ability to work effectively in a team environment
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 Commitment to continuous learning and professional development in data science and engineering
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</div>

Software Engineer - Data Engineer

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region&rsquo;s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
 
 
 
 About The Team
 
 
 
 At Careem, the mission for the Next Generation of ML Ops Engineers is to help grow our new joint Engineering by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. Our Programme covers all the areas of Careem tech be it Cyber Security, Data, Machine Learning, Infrastructure, and all the Software Engineering tracks like Backend, Frontend as well as Mobile.
 
 
 We are looking for prospective data scientists to join our team. If you are interested in end-to-end development of data science projects from idea to production service then this opportunity is definitely for you. Working with a senior team of talented data scientists you will accelerate your professional growth and will gain priceless experience.
 
 
 
 What You'll Need
 
 
 
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 Fresh graduates are encouraged to apply!
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 The ideal candidate will have a passionate commitment to improving the lives of people, an insane focus on excellence and customer service, and a strong alignment with our core values: being bold, focused, agile and collaborative.
 
 
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 Must Have
 
 
 
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 Strong knowledge of statistics, probability theory, calculus, linear algebra, mathematical analysis, differential calculus
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 Strong knowledge of Python programing language, SQL, algorithms and data structures
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 Knowledge of the theory of Machine Learning algorithms
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 Fluency in English along with excellent oral and written communication skills.
 
 
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 Nice To Have
 
 
 
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 Hands on experience of development and deployment of ML algorithms
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 Portfolio of ML projects on GitHub
 
 
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 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:
 
 
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 Work and learn from great minds by joining a community of inspiring colleagues.
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 Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.
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 Explore new opportunities to learn and grow every day.
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 Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
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 Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.
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</div>

Software Engineer I - MLOps

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597 data scientist jobs IN Lahore

Data Scientist

Data Scientist

Data Scientist, Tech

Data Scientist (LLM)

Data Analyst

Software Engineer - Data Engineer

Software Engineer I - MLOps