senior data engineer

data engineer

business analyst

data analyst

research analyst

data scientist

Embrace Technologies Private Limited

<p><b>We&rsquo;re Hiring: Data Scientist (4+ Years Experience)</b><br/>On-Site - Gulberg Greens, Islamabad - Pakistan</p><p><b>Job Summary</b></p><p>We are looking for a <b>Data Scientist</b> who can go beyond reporting and help drive <b>real business decisions using data</b>.</p><p>This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.</p><p><b>Key Responsibilities</b></p><ul><li>Analyze datasets to identify <b>trends, patterns, and actionable insights</b></li><li>Build and validate <b>statistical and predictive models</b></li><li>Write and optimize <b>complex SQL queries</b></li><li>Work with business teams to <b>translate requirements into data solutions</b></li><li>Present findings in a clear and structured manner to support decision-making</li></ul><p><b>Requirements</b></p><ul><li><b>4+ years of experience</b> in Data Science or Data Analytics</li><li><b>Strong proficiency in:</b></li></ul><p><b>Python</b> (pandas, NumPy, scikit-learn or similar)<br/><b>SQL</b> (joins, aggregations, performance optimization)</p><ul><li><b>Solid understanding of:</b></li></ul><p>Statistics and data modeling<br/>Data cleaning and validation</p><ul><li><b>Strong communication skills</b> with the ability to explain insights clearly</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul><p><b>Work Environment</b></p><ul><li><b>On-site role (no remote option)</b></li><li>Collaborative team environment with cross-functional interaction</li></ul><p><b>How to Apply</b></p><p>Apply through Indeed and include:</p><ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul><p><b>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewform</b></p><p>Keywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data Modeling</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Scientist

Jeeny

<div><p><b>About Jeeny:</b><br>
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.<br>
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.<br>
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.<br>
<br>
<b>Job Brief:</b><br>
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.<br>
<br>
<b>Responsibilities:</b></p><ul><li>
Explore, clean, and analyze high-volume datasets.</li><li>
Develop predictive models</li><li>
Build dashboards and automated reports to track marketplace health</li><li>
Work with product and operations teams to define data requirements and design A/B experiments.</li><li>
Implement and monitor machine learning models in production with guidance from senior team members.</li><li>
Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>
At least 3 years of relevant experience.</li><li>
Strong Python (pandas, numpy, scikit-learn etc).</li><li>
Solid understanding of statistics, probability, and hypothesis testing.</li><li>
Familiarity with SQL and relational databases.</li><li>
Exposure to machine learning concepts and practical modeling projects.</li><li>
Excellent problem-solving and communication skills.</li></ul><p><b>
Nice to Have</b></p><ul><li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li><li>
Knowledge of geospatial analysis or real-time data streaming.</li></ul><br>
<b>
Benefits</b><p><b><br>
What we offer:</b></p><ul><li>
<b>Market Competitive Salary
</b><br>
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li><li>
<b>Learn &amp; Grow
</b><br>
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li><li>
<b>International Exposure
</b><br>
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li><li>
<b>Health Insurance
</b><br>
Full health coverage so you can focus on your goals with peace of mind.</li><li>
<b>OPD Coverage
</b><br>
Outpatient visits? We&rsquo;ve got that covered for you.</li><li>
<b>End of Service Benefit
</b><br>
Loyalty pays off, long-term service comes with financial rewards.</li><li>
<b>Dollar Adjustment Allowance
</b><br>
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li><li>
<b>Internet Allowance
</b><br>
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li><li>
<b>Fuel Allowance </b><br>
Fuel your daily grind with a monthly fuel allowance.</li><li>
<b>Learning &amp; Development Allowance
</b><br>
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul><p><b><br>
Company Culture</b><br>
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</p></div>

<div>
 <strong>
  About Jeeny:
  <br/>
  <br/>
 </strong>
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 <br/>
 <br/>
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 <br/>
 <br/>
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 <br/>
 <br/>
 <strong>
  Job Brief:
  <br/>
  <br/>
 </strong>
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Explore, clean, and analyze high-volume datasets
  </li>
  <li>
   Develop predictive models
  </li>
  <li>
   Build dashboards and automated reports to track marketplace health
  </li>
  <li>
   Work with product and operations teams to define data requirements and design A/B experiments
  </li>
  <li>
   Implement and monitor machine learning models in production with guidance from senior team members
  </li>
  <li>
   Document methodologies, code, and analysis for reproducibility and knowledgesharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  </li>
  <li>
   At least 3 years of relevant experience
  </li>
  <li>
   Strong Python (pandas, numpy, scikit-learn etc)
  </li>
  <li>
   Solid understanding of statistics, probability, and hypothesis testing
  </li>
  <li>
   Familiarity with SQL and relational databases
  </li>
  <li>
   Exposure to machine learning concepts and practical modeling projects
  </li>
  <li>
   Excellent problem-solving and communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
  </li>
  <li>
   Knowledge of geospatial analysis or real-time data streaming
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
  </li>
  <li>
   Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
  </li>
  <li>
   International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
  </li>
  <li>
   Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
  </li>
  <li>
   OPD Coverage 🏥 Outpatient visits? We've got that covered for you
  </li>
  <li>
   End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
  </li>
  <li>
   Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
  </li>
  <li>
   Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
  </li>
  <li>
   Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
  </li>
  <li>
   Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Company Culture
  <br/>
  <br/>
 </strong>
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>


ibex

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


Data Scientist, Tech

Sagility

<div><h2 class="jobSectionHeader"><b>About Sagility</b></h2>
<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.</p>
</div></div></div></div></div></div></div></div></div></div></div></div></div></div>&quot;To lead data science projects, provide advanced insights, and mentor junior team members.
<br>
Senior Data Scientists oversee the technical aspects of data science projects and contribute to decision-making processes.&quot;
<p></p><div><div><div><div><div><div><div><p><b>Job title:</b></p>
</div></div></div></div></div></div></div>Sr Data Scientist
<p></p><div><div><div><div><div><div><div><p><b>Job Description:</b></p>
</div></div></div></div></div></div></div><div><p><b>Job Description | Data Science</b></p>
</div><p><b>About Sagility</b></p>
<p>Sagility is a tech-enabled BPM services provider, a thought partner providing a broad spectrum of transformational services, to enable our clients provide efficient and hi-quality care across the healthcare system.</p>
<p>Sagility&trade;️ combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. We optimize the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics.</p>
<p>Leading industry analyst firms have consistently cited our service excellence, breadth of offerings, and ability to execute. The most recent being recognized as a leader for Healthcare Payer Operations in 2022 as a part The Healthcare Payer Operations PEAK Matrix&reg; Assessment report by Everest Group. To learn more about our recognitions please visit our AWARDS SECTION</p>
<p>We have 28,000+ employees in 15 cities across 5 countries &ndash; India, Philippines, USA, Jamaica, and Colombia.</p>
<p><b>About Sagility Technology
</b></p><p>We are the technology wing of Sagility, providing a complete solution that encompasses people, process, and technology platform improvements. Equipped with a strategic solutions mindset, our core focus is on what most benefits the client. Sagility Technology uses a holistic consulting approach to identify the root causes of healthcare payer and provider pain points, analyze the issues and create custom solution roadmap to improve efficiency, engagement, data management, and overall processes.</p>
<p></p><p><b>About Sagility Care Management</b></p>
<p>A technology-enabled care management services arm of Sagility focused on applying whole-person interventions to improve healthcare outcomes, reduce costs, and increase satisfaction.</p>
<p></p><p><b>Job Details
</b></p><p><b>Description</b></p>
<p><b>Details</b></p>
<p><b>Job Title
</b></p><p><b>Manager/Sr Manager - DS</b></p>
<p><b>Reporting to
</b></p><p><b>Associate Director/Director - Provider - AI ML A
</b></p><p><b>Location
</b></p><p>Hyderabad/Hybrid</p>
<p><b>Working Hours/ Days
</b></p><p>5 days</p>
<p><b>Shift
</b></p><p>Day/Afternoon</p>
<p></p><p><b>Company URL
</b></p><p>www.sagilityhealth.com</p>
<p><b>Minimum Tech Skills
</b></p><p>1.Should have worked on minimum 6 academic projects and 2 Real world AI-ML Projects which are deployed in production &ndash;
<br>
2.Qualification, Skills &ndash; 1st Preference &ndash; Math, Stats Science/Arts Graduates with Any programming language ( R/Py/Ruby/C+) Knowledge and practical implementation of Statistical Modelling and Machine Learning, conceptual clarity of Math and Stats application in real world .</p>
<p>Modelling &ndash; Supervised &amp; Unsupervised , Classification and Regression, Boosting, Data Mining ( core exploratory data mining ) tasks , Survival Modelling, Loss Forecasting ( Insurance) . machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Etc. Deep Learning Models Programming Skills &ndash; Python, hands on experience in handling big data, writing programs, classes, functions. Statistics &ndash; Good applied statistical skills, including Measue of dispertion, variation, sampling, correlation and causatrion, knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.<b> Proficiency in statistics is essential for this role</b> Needs to have academic or practical experience of formulating a DS project. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</p>
<p></p><p><b>Your life with us</b></p>
<p></p><p>Sagility believes in Doing Right by its People.</p>
<p></p><p>Here&rsquo;s a refined <b>Job Description</b> for a <b>Data Science Manager / Senior Manager</b> with a strong emphasis on <b>technical leadership</b> and <b>machine learning expertise</b>:</p>
<div></div><p><b>Job Title: Data Science Manager / Senior Manager &ndash; Technical Leadership in ML</b></p>
<p><b>Location</b>: [Insert Location]
<br>
<b>Department</b>: Data Science &amp; AI
<br>
<b>Reporting To</b>: VP / Director of Data Science</p>
<div></div><p><b>Role Summary</b></p>
<p>We are looking for a technically strong and visionary <b>Data Scientist / Senior DS </b>to lead a team of data scientists in building scalable, production-grade AI solutions. This role demands deep expertise in machine learning, hands-on technical leadership, and the ability to architect and guide complex data science initiatives from ideation to deployment.</p>
<div></div><p><b>Key Responsibilities</b></p>
<p><b>Technical Leadership</b></p>
<ul><li>Core expertise in statistical and mathematical modelling.</li>
<li>Experience and knowledgfe in pretrained model frameworks.</li>
<li>Architect and oversee the development of advanced ML models including supervised, unsupervised, and deep learning approaches.</li>
<li>Drive best practices in model development, validation, deployment, and monitoring.</li>
<li>Lead code reviews, model audits, and ensure reproducibility and scalability of solutions.</li>
<li>Champion MLOps practices and CI/CD pipelines for ML workflows.</li>
</ul><p><b>Team Management</b></p>
<ul><li>Mentor and grow a team of data scientists and ML engineers.</li>
<li>Foster a culture of technical excellence, ownership, and continuous learning.</li>
<li>Set clear goals, provide feedback, and support career development.</li>
</ul><p><b>Strategic Execution</b></p>
<ul><li>Translate business problems into data science solutions with measurable impact.</li>
<li>Prioritize projects based on ROI, feasibility, and strategic alignment.</li>
<li>Collaborate with cross-functional teams including engineering, product, and domain experts.</li>
</ul><p><b>Innovation &amp; Thought Leadership</b></p>
<ul><li>Stay ahead of the curve on emerging ML techniques, tools, and frameworks.</li>
<li>Evaluate and integrate cutting-edge technologies into the team&rsquo;s workflow.</li>
<li>Represent the data science function in technical forums and leadership discussions.</li>
</ul><div></div><p><b>Required Qualifications</b></p>
<ul><li>Exerptise in Computer Science, Machine Learning, Statistics, or related field. Min Graduate</li>
<li>8+ years of experience in data science, with 3+ years in a technical leadership role.</li>
<li>Proven track record of deploying ML models in production environments.</li>
<li>Strong programming skills in Python (preferred), R, or Scala.</li>
<li>Deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, XGBoost, scikit-learn).</li>
<li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li>
<li>Familiarity with MLOps tools (MLflow, Airflow, SageMaker, etc.).</li>
</ul><p></p><p>We believe in providing strong growth opportunities, multiple training programs to support your learning curve, exposure to large international clients and access to advanced technologies and solutions at your disposal - so that you can focus on making a difference through your role.</p>
<p>We are an inclusive, open, and welcoming organization where our people are at the heart of everything that we do. We believe in giving back to the local communities in which we operate. We have strong rewards and recognition platforms, programs where your ideas can turn into reality.</p>
<p>We respect the need for a composite life and to encourage the same, we have employee friendly leave policies for the much needed down time and a lot more. Our medical insurance coverage is one of the best in class, covering you and your family when you need it. Last but not the least, we have lots of fun everyday through our wellbeing programs, talent shows, engagement activities - it&rsquo;s an endless list!</p>
<p></p><div><div><div><div><div><div><div><p><b>Location:</b></p>
</div></div></div></div></div></div></div>HyderabadIndia</div></div>

Sr Data Scientist

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Data Scientist, Tech

Sr Data Scientist