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associate software engineer

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senior - data scientist

associate data scientist

Software Finder Careers

<div>
 
 About The Role
 
 
 
 We are seeking an Associate Data Scientist to drive high-quality data sourcing, cleaning, and automation to support outbound prospecting and lead generation. In this role, you will extract, prepare, and enrich prospect lists, research new lead sources, and build Python-based scraping tools to ensure data accuracy for our CRM systems.
 
 
 You will work closely with marketing and business development teams to align data initiatives with campaign objectives, while continuously improving and scaling data workflows for speed, accuracy, and efficiency.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Extract, clean, and prepare prospect data based on campaign briefs.
 </li>
 <li>
 Research and identify new lead sources to enhance prospecting efforts.
 </li>
 <li>
 Build and maintain Python-based scraping and automation tools.
 </li>
 <li>
 Ensure data accuracy, enrichment, and proper integration into CRM systems.
 </li>
 <li>
 Collaborate with marketing and business development teams to align data outputs with campaign goals.
 </li>
 <li>
 Continuously optimize and scale data workflows for efficiency and reliability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python, Excel/Google Sheets, and web scraping tools.
 </li>
 <li>
 Strong analytical skills and attention to detail.
 </li>
 <li>
 Experience with data cleaning, enrichment, and workflow automation.
 </li>
 <li>
 Ability to work collaboratively in a fast-paced, campaign-driven environment.
 </li>
 <li>
 Prior experience in data-driven marketing, sales operations, or lead generation is a plus.
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Associate Data Scientist

Sintov

About the RoleWe are looking for a highly skilled Data Scientist (AI/ML + Azure) to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analytics, and cloud-based AI solutions&mdash;particularly using Microsoft Azure. You will design, build, and deploy end-to-end AI/ML models and data pipelines that drive business impact and innovation.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and predictive analytics solutions using Azure Machine Learning and related services.</li><li>Build, optimize, and maintain data pipelines and ETL processes for large-scale datasets.</li><li>Collaborate with business stakeholders to translate requirements into data-driven solutions.</li><li>Conduct data wrangling, feature engineering, and model evaluation to ensure model robustness and accuracy.</li><li>Deploy and monitor models in production using MLOps best practices.</li><li>Utilize Azure Data Lake, Databricks, and Synapse Analytics for scalable data management and analysis.</li><li>Present insights and recommendations through data visualization and storytelling tools (e.g., Power BI, Tableau).</li><li>Continuously research and experiment with emerging AI technologies to enhance business processes.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>5+ years of experience in Data Science or Machine Learning Engineering.</li><li>Hands-on experience with Azure AI/ML tools, including Azure Machine Learning, Databricks, Synapse, and Cognitive Services.</li><li>Strong programming skills in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).</li><li>Experience with SQL, data modeling, and data warehouse architectures.</li><li>Familiarity with MLOps, CI/CD, and version control (Git).</li><li>Solid understanding of statistics, probability, and experimental design.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Azure certifications such as Azure Data Scientist Associate (DP-100) or Azure AI Engineer Associate (AI-102).</li><li>Experience with LLMs (Large Language Models), Generative AI, or NLP-based solutions.</li><li>Exposure to Power BI, Tableau, or other visualization tools.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

Data Sceintist

Expert System Solution

About the Role: We are seeking a Senior Data Scientist with 6+ years of experience who possesses not only strong technical expertise but also exceptional communication and business acumen. The ideal candidate is a closer, someone who can take ownership, deliver results, and translate complex data insights into clear, actionable strategies.Responsibilities:<ul><li>Lead end-to-end data science projects from ideation to deployment.</li><li>Develop and implement predictive models, machine learning algorithms, and data-driven solutions.</li><li>Collaborate with cross-functional teams to align data insights with business objectives.</li><li>Present findings to stakeholders in a clear, concise, and impactful manner.</li><li>Work with large datasets using advanced statistical methods and tools.</li><li>Ensure timely delivery and measurable results on all assigned projects.</li></ul>Requirements:<ul><li>6+ years of proven experience as a Data Scientist or in a related role.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong understanding of machine learning, deep learning, NLP, and predictive analytics.</li><li>Hands-on experience with big data technologies (e.g., Spark, Hadoop).</li><li>Experience working with cloud platforms (AWS, GCP, or Azure).</li><li>Exceptional communication and presentation skills.</li><li>Strong problem-solving mindset with the ability to &ldquo;close the loop&rdquo; on projects.</li></ul>Why Join Us:<ul><li>Opportunity to lead impactful projects.</li><li>Collaborative and innovative environment.</li><li>Competitive salary and benefits package.</li><li>Growth-oriented role with room to take ownership.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

Farmdar

<div>
 
 
 Job Description for Data Scientist
 
 
 
 
 
 
 
 What is Farmdar?
 
 
 
 Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products&mdash;CropScan, YieldPro, and AgriChain&mdash;deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world&rsquo;s most trusted crop insights platform.
 
 
 
 
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Lahore - Hybrid
 
 
 
 
 
 
 Role Overview:
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist specialized in geospatial analytics and agritech
 
 to help transform satellite imagery and geospatial data into actionable agricultural insights. This role sits at the intersection of
 
 remote sensing, data science, and agronomy
 
 , and is ideal for someone who thrives in a
 
 startup environment
 
 , comfortable taking ownership, iterating fast, and delivering high-impact solutions that drive product and business outcomes.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Collection &amp; Management
 
 
 <ul>
 <li>
 Acquire, process, and organize satellite imagery and other geospatial datasets.
 </li>
 <li>
 </li>
 <li>
 Collaborate with internal teams and external providers to ensure data quality, completeness, and consistency.
 </li>
 </ul>
 <li>
 </li>
 
 
 Exploratory Data Analysis
 
 
 <ul>
 <li>
 Perform statistical analyses and visual explorations of large-scale geospatial datasets to uncover trends, patterns, and anomalies.
 </li>
 <li>
 </li>
 <li>
 Detect and address data quality issues early in the pipeline.
 </li>
 </ul>
 <li>
 </li>
 
 
 Feature Engineering &amp; Algorithm Optimization
 
 
 <ul>
 <li>
 Derive and optimize geospatial features (e.g., NDVI, EVI, soil indices) from remote sensing data for predictive modeling.
 </li>
 <li>
 </li>
 <li>
 Enhance the scalability and performance of analytical workflows dealing with large imagery datasets.
 </li>
 </ul>
 <li>
 </li>
 
 
 Data Visualization &amp; Reporting
 
 
 <ul>
 <li>
 Build intuitive visualizations, dashboards, and analytical reports to communicate findings to both technical and non-technical audiences.
 </li>
 <li>
 </li>
 <li>
 Present key insights and recommendations to leadership, product, and agronomy teams to inform decision-making.
 </li>
 </ul>
 <li>
 </li>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work closely with agronomists, software engineers, and product managers to design data-driven solutions for real-world agricultural challenges.
 </li>
 <li>
 </li>
 <li>
 Translate technical outputs into actionable agronomic and business insights.
 </li>
 </ul>
 <li>
 </li>
 
 
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay updated on advances in remote sensing, GIS, computer vision, and agritech applications.
 </li>
 <li>
 </li>
 <li>
 Experiment with emerging tools and methodologies to improve data accuracy, feature extraction, and insight generation.
 </li>
 </ul>
 <li>
 </li>
 
 
 Quality Assurance
 
 
 <ul>
 <li>
 Validate models and analytics for accuracy, reliability, and reproducibility.
 </li>
 <li>
 </li>
 <li>
 Implement QA processes to maintain high data integrity and regulatory compliance.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Geoinformatics, Statistics
 
 , or a related field.
 </li>
 </ul>
 <li>
 </li>
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 and core data science libraries (
 
 NumPy, pandas, scikit-learn, TensorFlow, PyTorch
 
 ).
 </li>
 <li>
 </li>
 <li>
 Hands-on experience with
 
 geospatial data tools and libraries
 
 (e.g.,
 
 GDAL, rasterio, shapely, geopandas
 
 ).
 </li>
 <li>
 </li>
 <li>
 Familiarity with
 
 remote sensing data
 
 (multispectral, hyperspectral, radar) and
 
 vegetation indices
 
 (NDVI, EVI, SAVI, etc.).
 </li>
 <li>
 </li>
 <li>
 Understanding of
 
 coordinate reference systems, projections
 
 , and geospatial data formats.
 </li>
 </ul>
 <li>
 </li>
 
 
 Analytical &amp; Problem-Solving Skills
 
 
 <ul>
 <li>
 Solid foundation in
 
 statistics, probability, and linear algebra
 
 .
 </li>
 <li>
 </li>
 <li>
 Ability to handle, analyze, and interpret
 
 large and complex geospatial datasets
 
 .
 </li>
 </ul>
 <li>
 </li>
 
 
 Domain Knowledge
 
 
 <ul>
 <li>
 Background or exposure to
 
 agriculture, agronomy, or environmental science
 
 is highly preferred.
 </li>
 <li>
 </li>
 <li>
 Familiarity with
 
 crop phenology, soil science, or climate modeling
 
 is a strong plus.
 </li>
 </ul>
 <li>
 </li>
 
 
 Soft Skills &amp; Mindset
 
 
 <ul>
 <li>
 Excellent communication skills with the ability to explain complex concepts clearly.
 </li>
 <li>
 </li>
 <li>
 Proven ability to collaborate across interdisciplinary teams.
 </li>
 <li>
 </li>
 <li>
 
 Startup mindset:
 
 proactive, ownership-driven, and adaptable in a fast-changing environment.
 </li>
 <li>
 </li>
 <li>
 Strong organizational skills and the ability to manage multiple projects simultaneously.
 </li>
 <li>
 </li>
 <li>
 Commitment to continuous learning and professional growth in agritech and data science.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Provider:
 
 
 
 At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity.
 
 
 
</div>

Data Scientist

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Senior Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4> 
Job Description:
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Key Responsibilities<ul><li>
Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.</li><li>
Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.</li><li>
Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.</li><li>
Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.</li><li>
Build Python-based tools and scripts for data processing, visualization, and decision automation.</li><li>
Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.</li><li>
Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.</li><li>
Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.</li></ul> 
Requirements<ul><li>
8+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).</li><li>
Strong background in agentic AI systems and their practical applications in business or technical workflows.</li><li>
Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).</li><li>
Solid understanding of data structuring, processing, and visualization.</li><li>
Proven track record of building and deploying data-centric and AI-assisted solutions.</li><li>
Experience managing cross-functional teams and delivering complex technical projects.</li><li>
Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
gLfHZYLiqg</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 
 Location:
 
 Lahore
 
 
 
 Job Type:
 
 Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.
 </li>
 <li>
 Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.
 </li>
 <li>
 Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.
 </li>
 <li>
 Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.
 </li>
 <li>
 Build Python-based tools and scripts for data processing, visualization, and decision automation.
 </li>
 <li>
 Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.
 </li>
 <li>
 Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.
 </li>
 <li>
 Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).
 </li>
 <li>
 Strong background in agentic AI systems and their practical applications in business or technical workflows.
 </li>
 <li>
 Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).
 </li>
 <li>
 Solid understanding of data structuring, processing, and visualization.
 </li>
 <li>
 Proven track record of building and deploying data-centric and AI-assisted solutions.
 </li>
 <li>
 Experience managing cross-functional teams and delivering complex technical projects.
 </li>
 <li>
 Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
</div>

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics - BI Experience Must Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerPosition OverviewWe are looking for a highly skilled Senior Data Scientist with strong expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analytics. The ideal candidate will possess exceptional analytical abilities and technical depth to manage complex datasets, develop scalable data pipelines, and extract meaningful insights that drive strategic business decisions.You will collaborate with cross-functional teams to design robust data solutions, enhance reporting infrastructure, and lead data-driven initiatives that contribute to organizational growth and operational excellence.Key Responsibilities<ul><li>Collect, process, and transform structured and unstructured data from multiple sources including logs, APIs, and databases.</li><li>Design, implement, and maintain reliable data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Develop and manage Kibana dashboards for real-time analytics, monitoring, and visualization.</li><li>Conduct in-depth analysis of large datasets to identify patterns, trends, anomalies, and actionable business insights.</li><li>Write and optimize advanced MySQL queries to support analytical reporting and decision-making.</li><li>Partner with business stakeholders to define KPIs, metrics, and analytical objectives aligned with company goals.</li><li>Contribute to machine learning or predictive analytics projects where applicable.</li><li>Document data processes, pipelines, and insights to ensure transparency and reproducibility.</li><li>Provide mentorship to junior team members and contribute to overall data governance and quality initiatives.</li></ul>Required Qualifications<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical position.</li><li>Proven hands-on experience with the ELK Stack (Elasticsearch, Logstash, Kibana) in production environments.</li><li>Advanced proficiency in SQL with strong experience in MySQL optimization for large-scale queries.</li><li>Proficient in Python or R for data analysis and automation.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing.</li><li>Excellent analytical thinking and the ability to communicate insights effectively to both technical and non-technical audiences.</li></ul>Preferred Skills<ul><li>Experience with big data tools such as Apache Spark or Hadoop.</li><li>Familiarity with cloud platforms (especially AWS) and their data/log management services.</li><li>Exposure to machine learning and predictive modeling techniques.</li><li>Domain knowledge in finance, healthcare, e-commerce, or SaaS industries (preferred but not mandatory).</li></ul>Why Join Us?Be part of a fast-paced, data-driven team where your expertise will help shape business strategy and drive operational excellence. If you&rsquo;re passionate about leveraging data to uncover insights and lead innovation in analytics and log intelligence, we&rsquo;d love to hear from you.Job Type: Full-timeJob Type: Full-timeWork Location: In person

Sr. Data Analyst - BI Experience is a MUST

Explore 1083+ Associate data scientist in Lahore this November. Find roles across top companies and apply now to boost your career.

1083 associate data scientist jobs IN Lahore

Associate Data Scientist

Data Sceintist

Senior Data Scientist

Data Scientist

Senior - Data Scientist

Senior - Data Scientist

Sr. Data Analyst - BI Experience is a MUST