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Lloyds Technology Centre

<div></div><div><div>End Date</div>
Tuesday 30 December 2025<div></div><div><div>
We Support Flexible Working &ndash; Click here for more information on flexible working options</div></div><div></div><div>
Flexible Working Options</div>
Hybrid Working<div></div><div>
Job Description Summary</div>
Job Title: Senior Data Scientist<br>
Job Family: Data &amp; AI Scientists<br>
Grade: E Grade<br>
Experience Required: 8&ndash;13 years<br>
Employment Type: Full-time<div></div><div>
Job Description</div><div>
About the Role:</div><div>
We are looking for a highly skilled and experienced Senior Data Scientist to join our Data &amp; AI team. The ideal candidate will bring deep expertise in data science, statistical modeling, and cloud-based AI platforms, with a strong background in Pega CDH and adaptive modeling.</div><div>
Key Responsibilities:</div><ul><li>
Develop and optimize adaptive models using Pega CDH.</li><li>
Apply statistical modeling techniques using Python and SQL to solve complex business problems.</li><li>
Design and implement scalable data pipelines and ML workflows using BigQuery, Vertex AI, and Composer.</li><li>
Collaborate with cross-functional teams to deliver data-driven solutions.</li></ul><div>
Required Skills:</div><ul><li>
Skill 1: Pega CDH, Adaptive Modeling</li><li>
Skill 2: Python, SQL, Statistical Modeling Techniques</li><li>
Skill 3: BigQuery, Vertex AI, Composer</li></ul><div>
Preferred Qualifications:</div><ul><li>
Proven experience in data science roles within enterprise environments.</li><li>
Strong understanding of cloud platforms and AI services.</li><li>
Excellent problem-solving and communication skills.</li></ul></div><div></div>

Senior Data Scientist

soum

<div><div><b>Role: Senior Data Scientist</b></div><div><b>
Location:</b> Egypt, Uzbekistan, and Pakistan (Remote)</div><div><b>
Work Week:</b> Sunday &ndash; Thursday</div><div><b>
Work Timings:</b> 9:00 AM &ndash; 6:00 PM (Saudi Arabian Time Zone)</div><div></div><div><b><br>
Overview:</b></div><div>
We&rsquo;re looking for a <b>Senior Data Scientist</b> to lead the development and deployment of advanced machine learning models that power critical business decisions. In this role, you&rsquo;ll drive end-to-end ownership of ML solutions, from design and optimization to deployment and monitoring in production environments. You&rsquo;ll also play a key role in shaping our data science strategy, mentoring junior team members, and ensuring that analytics insights translate into measurable business impact. This is a high-visibility role where your expertise will directly influence product innovation and growth.</div><br>
<div></div>
<h3 class="jobSectionHeader"><b>
Role &amp; Responsibilities:</b></h3><ul><li><b>
Model Development and Optimization:</b></li><li>
Lead the design, development, and deployment of advanced ML models for complex use cases, such as recommendation systems, fraud detection, customer segmentation, and demand forecasting.</li><li>
Partner with data engineers and product teams to ensure models are scalable, reliable, and aligned with business needs.</li><li>
Continuously optimize algorithms for performance, accuracy, and efficiency.</li><li><b>
Deployment and Integration:</b></li><li>
Own end-to-end model deployment processes into production environments using Kubernetes and cloud platforms (AWS, GCP).</li><li>
Define and manage MLOps best practices, including model monitoring, automated retraining, and CI/CD for ML pipelines.</li><li>
Champion automation of model training, validation, and deployment workflows to improve system reliability.</li><li><b>
Analytics Strategy &amp; Enablement:</b></li><li>
Act as a custodian of organizational data, ensuring data quality, consistency, and readiness for advanced analytics and modeling.</li><li>
Translate complex data insights into business impact, clearly communicating ROI to stakeholders.</li><li>
Drive adoption of analytics and data-driven decision-making across teams by mentoring and enabling business stakeholders.</li><li><b>
Leadership &amp; Collaboration:</b></li><li>
Mentor junior data scientists and analysts, providing technical guidance and career development support.</li><li>
Collaborate closely with engineering and product leadership to shape the company&rsquo;s data science strategy.</li><li>
Stay ahead of emerging AI/ML trends, tools, and research, and advocate for their adoption when relevant.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>
Proficiency in <b>Python</b> and <b>SQL</b>, with hands-on expertise in ML frameworks such as <b>TensorFlow, PyTorch, Scikit-learn</b>.</li><li>
Strong knowledge of <b>deployment tools</b> (Docker, Kubernetes, cloud platforms) and <b>MLOps best practices</b>.</li><li>
Proven ability to design and maintain production-grade ML systems.</li><li>
Deep understanding of <b>statistical analysis, hypothesis testing, and data visualization</b>.</li><li>
Knowledge of <b>cloud-serverless technologies</b> (AWS Lambda, GCP Functions, Azure Functions).</li><li>
Strong familiarity with <b>GCP</b> is a plus.</li><li>
Prior experience deploying ML solutions in <b>E-commerce or high-growth environments</b> is highly desirable.</li><li>
Familiarity to work with Git and GitHub.</li><li><b>
Dataform is a must</b></li></ul><h3 class="jobSectionHeader"><b>
Experience:</b></h3><ul><li><b>
5+ years</b> in data science, including hands-on ML model development and deployment.</li><li><b>
3+ years</b> in data analytics, statistical modeling, and experimentation.</li><li>
Experience mentoring or leading junior data scientists.</li><li>
Exposure to fast-scaling startup or tech environments is a strong plus</li></ul></div>

MTP (Mayfair Technology Partners)

<p>We are seeking a highly motivated and analytical AI/ML Data Scientist to join our data-driven team. In this role, you will be responsible for designing and deploying machine learning models that solve real-world problems and drive strategic decisions. Your insights and algorithms will directly impact our products, services, and customer experience.</p><p>Key Responsibilities:</p><ul><li>Build, test, and deploy predictive and classification models using advanced machine learning techniques.</li><li>Analyze structured and unstructured data to extract insights and trends.</li><li>Collaborate with cross-functional teams including data engineers, product managers, and software developers.</li><li>Perform data wrangling, feature engineering, model selection, and hyperparameter tuning.</li><li>Communicate technical results and insights to both technical and non-technical stakeholders.</li><li>Monitor and evaluate model performance, making continuous improvements as needed.</li><li>Contribute to research and experimentation in the field of AI/ML to innovate and solve new challenges.</li></ul><p>Required Qualifications:</p><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, or a related field.</li><li>4+ years of hands-on experience in data science, machine learning, or AI.</li><li>Proficiency in Python and libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.</li><li>Strong background in statistics, data modeling, and algorithm development.</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI).</li><li>Knowledge of SQL and working with large-scale data systems.</li><li>Solid understanding of supervised and unsupervised learning techniques.</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with deep learning, NLP, or computer vision.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML deployment tools.</li><li>Exposure to MLOps practices, version control (Git), and model tracking tools like MLflow or Weights &amp; Biases.</li><li>Excellent communication, collaboration, and problem-solving skills.</li></ul><p>Onsite Fulltime Position</p><p>Shifts: 11 AM to 8 PM and 12 PM to 9 PM</p><p>Monday to Friday</p><p>IT Tower Gulberg Lahore</p><p>Job Type: Full-time</p><p>Work Location: In person</p><p>Job Type: Full-time</p><p>Pay: From Rs200,000.00 per month</p><p>Work Location: In person</p>

DevConsole

<p>Job Title: Data Science Engineer (AI/ML Expertise)<br/>Company name: DevConsole<br/>Location: On-site ( Eithad town, Raiwand road Lahore)</p><p>Job Type: Contractual<br/>Experience: 3+ years<br/>Salary: 120k - 250k<br/>Timings: 9:00 pm - 4:00 am</p><p>&#11835;</p><p>Job Overview:</p><p>We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.<br/>The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.<br/>You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.</p><p>&#11835;</p><p>Key Responsibilities:</p><ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul><p>&#11835;</p><p>Required Skills &amp; Qualifications:</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul><p>&#11835;</p><p>Preferred Qualifications:</p><ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, and retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul><p>&#11835;</p><p>What We Offer:</p><ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul><p>If you are intrested kindly share your resume with subject <b>Data Scientist</b> at <b>hr@dev-console.com</b></p><p>Job Type: Contract<br/>Contract length: 3 months</p><p>Pay: Rs120,000.00 - Rs300,000.00 per month</p><p>Work Location: In person</p><p>Expected Start Date: 13/10/2025</p>

S&P Global

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 <strong>
  Grade Level (for internal use):
  <br/>
  <br/>
 </strong>
 10
 <br/>
 <br/>
 <strong>
  Team Overview
  <br/>
  <br/>
 </strong>
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 <strong>
  AWS and Snowflake
 </strong>
 , and prioritise data security and governance.
 <strong>
  Collaboration is key
 </strong>
 , as we work closely with
 <strong>
  Data Scientists and ML Engineers
 </strong>
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 <strong>
  Generative AI models
 </strong>
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 <br/>
 <br/>
 <strong>
  Role Impact
  <br/>
  <br/>
 </strong>
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 <strong>
  Machine Learning (ML) and Generative AI (GenAI) lifecycle
 </strong>
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 <strong>
  drive innovation by developing, optimising, and maintaining production-level data pipelines
 </strong>
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 <strong>
  data-driven decision-making
 </strong>
 across the organisation.
 <br/>
 <br/>
 Main Contributions
 <br/>
 <br/>
 <strong>
  Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
  </li>
  <li>
   Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
  </li>
  <li>
   GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
  </li>
  <li>
   Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
  </li>
  <li>
   MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
  </li>
  <li>
   Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
  </li>
  <li>
   Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Experience
  <br/>
  <br/>
 </strong>
 <strong>
  Essential Skills: (Dual Focus)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
  </li>
  <li>
   Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
  </li>
  <li>
   Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
  </li>
  <li>
   Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
  </li>
  <li>
   Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
  </li>
  <li>
   Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications: (AI/ML Specialization)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
  </li>
  <li>
   Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
  </li>
  <li>
   Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
  </li>
  <li>
   Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
  </li>
  <li>
   Experience with Cortex AI or comparable cloud AI tools.
  </li>
  <li>
   Certifications in Snowflake, AWS Data Analytics, or related areas.
   <br/>
   <br/>
  </li>
 </ul>
 #
 <br/>
 <br/>
 <strong>
  What&rsquo;s In It For
 </strong>
 <strong>
  You?
  <br/>
  <br/>
 </strong>
 <strong>
  Our Purpose
  <br/>
  <br/>
 </strong>
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 <br/>
 <br/>
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 <br/>
 <br/>
 <strong>
  Our People
  <br/>
  <br/>
 </strong>
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 <br/>
 <br/>
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 <br/>
 <br/>
 <strong>
  Our Values
  <br/>
  <br/>
 </strong>
 <strong>
  Integrity, Discovery, Partnership
  <br/>
  <br/>
 </strong>
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 <strong>
  integrity
 </strong>
 in all we do, bring a spirit of
 <strong>
  discovery
 </strong>
 to our work, and collaborate in close
 <strong>
  partnership
 </strong>
 with each other and our customers to achieve shared goals.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 <br/>
 <br/>
 <strong>
  Our Benefits Include
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Health &amp; Wellness: Health care coverage designed for the mind and body.
  </li>
  <li>
   Flexible Downtime: Generous time off helps keep you energized for your time on.
  </li>
  <li>
   Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  </li>
  <li>
   Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  </li>
  <li>
   Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  </li>
  <li>
   Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
   <br/>
   <br/>
  </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 <br/>
 <br/>
 <strong>
  Global Hiring And Opportunity At S&amp;P Global
  <br/>
  <br/>
 </strong>
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 <br/>
 <br/>
 <strong>
  Recruitment Fraud Alert
  <br/>
  <br/>
 </strong>
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 <br/>
 <br/>
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 <br/>
 <br/>
 <strong>
  US Candidates Only:
 </strong>
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 <br/>
 <br/>
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 <br/>
 <br/>
 <strong>
  Job ID:
 </strong>
 318971
 <br/>
 <br/>
 <strong>
  Posted On:
 </strong>
 2025-09-09
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Islamabad, Pakistan
 <br/>
 <br/>
</div>


Outreach.io

<div><div><div><b>About Outreach</b></div><div></div><div><br>
Outreach, founded in 2014, is the only complete AI Revenue Workflow Platform that helps sales leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. Outreach infuses agentic AI to power 100s of use cases across sales motions. From new logo prospecting to renewal and expansion, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Global organizations use Outreach to power their revenue teams, including SAP, Siemens, Snowflake, ZoomInfo, and Verizon to name a few. To learn more, please visit www.outreach.io.</div><div></div><div><b><br>
About the Team</b></div><div></div><div><br>
Data is at the core of Outreach's strategy. It drives us and our customers to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement and user productivity through natural language understanding, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers&rsquo; needs and deliver new products and features to help continuously improve their customer engagement workflows.</div><div></div><div><br>
The mission of the Data Science team is to enable such continuous optimization by reconstructing customer engagement workflows from data, developing metrics to measure the success and efficiency of these workflows, and providing tools to support the optimization of these workflows. One example is predicting the likelihood of a deal to win so sales reps can shift their focus strategically toward deals that need attention. In addition to just producing a score as our prediction, we put emphasis on analyzing which factors during the sales process contributed more to the prediction. This allows us to give recommendations to the sales rep on what to do next.</div><div></div><div><br>
As a high-level contributor to the team, you will be part of a cross-functional team consisting of data scientists and machine learning engineers working on making our mission a reality.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Your Daily Adventures Will Include:</b></h3><ul><li><ul><li>
Design, implement, and improve machine learning Systems.</li><li>
Defining metrics to measure effectiveness of processes</li><li>
Contribute to machine learning applications end to end, i.e. from research to prototype to production.</li><li>
Work with product managers, designers, and customers to define vision and strategy for a given product.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Our Vision of You:</b></h3><ul><li><ul><li>
You have a degree in Computer Science, Data Science, or a related field with 8+ years of technical experience</li><li>
You have knowledge in statistics and machine learning and have practical experience applying it to solve real-world problems.</li><li>
You understand the typical lifecycle of machine learning product development, from inception to production.</li><li>
You have good experience in LLM based application development, LLM tuning and prompt engineering.</li><li>
You have worked with framework like Langchain, OpenAI Agent SDK.</li><li>
You have strong programming skills in at least one programming language (Python, Golang, etc.). Experience in GoLang is a plus.</li><li>
You have experience working with distributed data processing frameworks such as Spark. Experience with Spark's MLlib, Databricks, MLFlow are a plus</li><li>
You are hands-on, able to quickly pick up new tools and languages, and excited about building things and experimenting.</li><li>
You should be able to work alongside experienced engineers, designers, and product managers to help deliver new customer-facing features and products.</li></ul></li></ul></div></div>
<div><div><i>We&rsquo;re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</i></div><div></div><div><b><i><br>
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.</i></b></div></div></div>

Senior Staff Data Scientist (Minimum 8+ years of experience)

Web Applications & Data Integration Company

<p><b>Job Title:</b> Senior Data Scientist &ndash; ELK Stack &amp; Analytics<br/><b>Location:</b> College Road, Township, Lahore<br/><b>Job Type:</b> Full-Time<br/><b>Working Hours:</b> 9:00 PM &ndash; 6:00 AM PKT<br/><b>Department:</b> Data &amp; Analytics<br/><b>Reports To:</b> Data Analytics Manager</p><p><b>Job Overview: </b>We are seeking a <b>Senior Data Scientist</b> with deep expertise in the <b>ELK Stack (Elasticsearch, Logstash, Kibana)</b>, <b>MySQL query optimization</b>, and <b>big data analysis</b>. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.<b>Key Responsibilities:</b></p><ul><li>Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.</li><li>Design and manage robust data pipelines using <b>Logstash</b> and other ETL tools to feed into <b>Elasticsearch</b>.</li><li>Build and maintain <b>Kibana dashboards</b> for real-time visualization and analytics.</li><li>Analyze large-scale datasets to identify trends, anomalies, and actionable insights.</li><li>Write and optimize <b>complex MySQL queries</b> to support deep-dive analysis and reporting needs.</li><li>Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.</li><li>Support development of machine learning models or predictive analytics where applicable.</li><li>Document processes, pipelines, and findings for knowledge sharing and reproducibility.</li><li>Mentor junior team members and contribute to data governance and quality initiatives.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.</li><li>Minimum <b>4 years</b> of experience in data science, analytics, or a similar technical role.</li><li>Proven experience working with the <b>ELK Stack (Elasticsearch, Logstash, Kibana)</b> in a production environment.</li><li>Advanced proficiency in <b>SQL</b>, especially with <b>MySQL optimization</b> for large and complex queries.</li><li>Experience in <b>Python</b> or <b>R</b> for data analysis and scripting.</li><li>Strong foundation in <b>data modeling</b>, <b>ETL pipelines</b>, and <b>data warehousing</b>.</li><li>Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with <b>big data technologies</b> (e.g., Apache Spark, Hadoop).</li><li>Familiarity with cloud platforms like <b>AWS</b>, especially their data and log services is preferred</li><li>Knowledge of <b>machine learning</b>, <b>predictive modeling</b></li><li>Domain experience in <b>finance</b>, <b>healthcare</b>, <b>e-commerce</b>, or <b>SaaS</b> environments is preferred but not required</li></ul><p><b>Ready to lead cutting-edge analytics and log intelligence?</b> Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This is night time position 9pm to 6am. Are you willing to proceed?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Data Analyst: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Senior Data Analyst - BI Experience is MUST

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Senior Staff Data Scientist (Minimum 8+ years of experience)

Senior Data Analyst - BI Experience is MUST