data science lead

Talrop

<p><b>Job Overview:</b></p><p>We are seeking a highly skilled <b>AI / Data Science Lead </b>to spearhead our AI</p><p>initiatives and drive data-based innovation across the organization. This role involves</p><p>leading end-to-end AI/ML model development, guiding the tech team, and</p><p>transforming data into meaningful insights that support product and business growth.</p><p><b>Key Responsibilities:</b></p><p>&#9679; Lead the design, development, training, and deployment of scalable AI/ML</p><p>models.</p><p>&#9679; Analyze complex datasets to generate insights that support decision-making</p><p>and enhance user experiences.</p><p>&#9679; Work closely with engineering, product, and business teams to integrate</p><p>intelligent systems into business operations.</p><p>&#9679; Conduct research to explore new technologies, frameworks, and</p><p>methodologies that can elevate technical capabilities.</p><p>&#9679; Mentor and support junior data scientists and AI engineers through best</p><p>practices and technical guidance.</p><p>&#9679; Continuously evaluate AI performance and implement improvements for</p><p>accuracy and efficiency.</p><p><b>Requirements:</b></p><p>&#9679; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence,</p><p>Data Science, or related field.</p><p>&#9679; 3&ndash;5 years of hands-on experience in AI, ML, or data science roles.</p><p>&#9679; Strong programming skills with expertise in Python, SQL, and modern ML</p><p>frameworks such as TensorFlow/PyTorch.</p><p>&#9679; Experience with data processing, model deployment, and visualization tools.</p><p>&#9679; Excellent analytical, problem-solving, and communication skills.</p><p>&#9679; Experience in product-driven AI development and cloud environments is a</p><p>plus.</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;35,000.00 - &#8377;40,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Ai Data Science Lead

The Cigna Group

<div><div><h3 class="jobSectionHeader"><b>ABOUT EVERNORTH:</b></h3><h3 class="jobSectionHeader"><b>
Evernorth</b><b>&#8480;</b><b> exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,</b><br>
<b>we solve the problems others don&rsquo;t, won&rsquo;t or can&rsquo;t.</b></h3><h3 class="jobSectionHeader"><b>
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.</b></h3><h3 class="jobSectionHeader"><b>
We are always looking upward. And that starts with finding the right talent to help us get there.</b></h3></div><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
Section 2: Position Overview</b></h3><h3 class="jobSectionHeader"><b>
Provide a concise summary of the position, its purpose, and its importance within the company.</b></h3></div><div><h3 class="jobSectionHeader"><b>
Section 1: Job Title</b></h3><h3 class="jobSectionHeader"><b>
Clearly state the position&rsquo;s title to convey the role and level of responsibility.</b></h3></div><h3 class="jobSectionHeader"><b>
 </b><b>HIH &ndash; Data Science Lead Analyst</b></h3><h3 class="jobSectionHeader"><b>
Job Description</b></h3><h3 class="jobSectionHeader"><b>
Excited to grow your career?</b></h3><h3 class="jobSectionHeader"><b>
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!</b></h3><h3 class="jobSectionHeader"><b>
Our people make all the difference in our success.</b></h3><h3 class="jobSectionHeader"><b>
Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health?</b></h3><h3 class="jobSectionHeader"><b>
Evernorth&rsquo;s Data Science Center of Excellence applies advanced Data Science (DS), Artificial Intelligence (AI) and Machine Learning (ML) to produce solutions that reduce customer health costs and improve outcomes and business processes. Using state of the art AI tools, DS platforms, ML libraries, and optimization tools, we leverage internal, external, online and offline data sources comprising clinical, provider &amp; Rx data, and behavioral/attitudinal data.</b></h3><h3 class="jobSectionHeader"><b>
Role Summary</b></h3><h3 class="jobSectionHeader"><b>
Using your knowledge of ML / AI, you will build technologies to generate descriptive and predictive insights on how we can better serve throughout their customer journey, with digital assets we have. Your work will require deep acquaintance with Evernorth&rsquo;s data, seeking to find ways to deliver value through advanced feature engineering. From your models, you will deliver actionable insights that can be incorporated into existing digital and marketing solutions as well as informing on new strategy. In addition to collaborating with Data Science Management and Business Analytics partners to establish strategic priorities, you will work closely with Data &amp; Engineering to deliver code that is robust and ready to scale.</b></h3><div><h3 class="jobSectionHeader"><b>
Section 3: Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
Clearly outline the primary duties and tasks associated with the role. Use action verbs (i.e., lead, drive, analyze, assess, research, etc.) to convey expectations.</b></h3></div><h3 class="jobSectionHeader"><b>
&lt; &gt;Data acquisition, QC and exploratory analysis on transactional member dataCreate models using ML / AI techniques to predict risk and identify actionable insightsDeliver clean, reusable, and scalable codeWork closely with Data &amp; Engineering to deploy modelsPartner with senior team members on the latest analytic techniques, technologies, and methods</b></h3><div><h3 class="jobSectionHeader"><b>
Section 4: Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Specify the skills, experience, and education required for the role. Differentiate between the &ldquo;must-haves&rdquo; and &ldquo;nice-to-haves&rdquo;.</b></h3><h3 class="jobSectionHeader"><b>
Required skills</b><b>: List the specific skills required for the job, including technical, leadership skills, and any industry-specific skills.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b><b>: Clearly state any mandatory requirements, such as formal education, certifications, licenses, or specific years of experience.</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b><b>: List any &ldquo;nice-to-have&rdquo; experience, including industry experience, exposure to specific technologies, certifications, etc.</b></h3></div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><h3 class="jobSectionHeader"><b>
Required Education</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience</b></h3><h3 class="jobSectionHeader"><b>
Required Skills</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;The ideal candidate for this role will have strong coding skills in Python, a passion for creating technology to improve the healthcare systems, and an attitude of creativity and continual learning.</b></h3><h3 class="jobSectionHeader"><b>
Required Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;5-8 years of industry experience with Data Mining, Statistical Analysis and leading ML / AI methods; XGBoost, Light GBM, deep learning, reinforcement learning, optimization required5-8 years of experience with Python, PySpark and its data science librariesExcellent oral and written communication skills</b></h3><h3 class="jobSectionHeader"><b>
Desired Experience</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Prior experience working in the healthcare industry, services ops or digital domainExperience with deploying predictive models into productionExperience working with business stakeholders</b></h3><h3 class="jobSectionHeader"><b>
</b></h3><div><h3 class="jobSectionHeader"><b>
These two sections will be &ldquo;standardized&rdquo; in the JD template and made not editable.</b></h3></div><h3 class="jobSectionHeader"><b>
Location &amp; Hours of Work</b></h3><h3 class="jobSectionHeader"><b>
&lt; &gt;Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)</b><b>Equal Opportunity Statement
</b></h3><h3 class="jobSectionHeader"><b><i>Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.</i></b></h3><p></p><p><b>
About Evernorth Health Services</b></p><div><div><div><div><div><div><div><p>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p></div></div></div></div></div></div></div></div>

HIH – Data Science Lead Analyst

DGN Technologies

<p><b>Job Title: Data Scientist </b></p><p><b>Location : Remote</b></p><p><b>Long Term Contract</b></p><p><b>Role and Responsibilities:</b></p><p><b>Job Summary:</b></p><p>We're seeking an experienced Senior Data Scientist with 5+ years of experience in data science to lead our data analytics team. As a Senior Data Scientist, you'll be responsible for developing and implementing advanced data models, predictive analytics, and machine learning solutions to drive business growth.</p><ul><li><b>Key Responsibilities:</b></li><li>Data Analysis and Modeling: Develop and deploy machine learning models to solve complex business problems. Analyze large datasets to identify trends, patterns, and insights that inform business decisions.</li><li>Leadership: Lead and mentor junior data scientists and analysts, providing guidance on best practices and techniques.</li><li>Stakeholder Management: Collaborate with cross-functional teams, including business stakeholders, product managers, and engineers to identify business needs and develop data-driven solutions.</li><li>Communication: Communicate complex data insights and recommendations to both technical and non-technical stakeholders.</li></ul><p><b>Requirements:</b></p><ul><li>Education: Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience: 5+ years of experience in data science, with a proven track record of developing and deploying machine learning models.</li><li>Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Soft Skills: Excellent communication, collaboration, and leadership skills.</li></ul><p>Thanks</p><p>Nadeem Akhtar</p><p>Mob-+91-6206264091</p><p>Job Types: Permanent, Contractual / Temporary</p><p>Pay: &#8377;1,000.00 - &#8377;1,300.00 per hour</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Work Location: Remote</p>

Data Scientist

Digital Egypt For Investment Co.

<div>
 As a
 <strong>
  Senior Data Scientist
 </strong>
 ,you will lead the design and execution of advanced data science projects that drive strategic business decisions. This role requires a deep understanding of machine learning, statistical modeling, and data analytics to uncover insights and deliver impactful solutions. You will collaborate with cross-functional teams to translate complex data into actionable strategies, mentor junior team members, and contribute to the continuous improvement of Teradata&rsquo;s data science capabilities.
 <br/>
 <br/>
 <strong>
  Key Duties And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead Data Science Projects: Manage the full lifecycle of data science initiatives&mdash;from problem definition and data exploration to model development and deployment.
  </li>
  <li>
   Build Predictive Models: Design and implement machine learning and statistical models to solve business challenges and forecast outcomes.
  </li>
  <li>
   Analyze Complex Datasets: Perform deep data analysis to identify trends, patterns, and opportunities for optimization.
  </li>
  <li>
   Collaborate Across Teams: Work closely with data engineers, product managers, and business stakeholders to align data solutions with organizational goals.
  </li>
  <li>
   Deploy and Monitor Models: Ensure models are scalable, reliable, and integrated into production systems with ongoing performance monitoring.
  </li>
  <li>
   Mentor and Guide: Support the growth of junior data scientists by sharing best practices, reviewing work, and fostering a culture of continuous learning.
  </li>
  <li>
   Communicate Insights: Present findings clearly to both technical and non-technical audiences, turning data into compelling narratives and strategic recommendations.
  </li>
  <li>
   Stay Current: Keep up with the latest advancements in AI, machine learning, and data science to enhance existing methodologies and tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-Have Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 5 years of experience in data science or analytics
  </li>
  <li>
   Proficiency in Python and SQL
  </li>
  <li>
   Strong foundation in statistical analysis and machine learning
  </li>
  <li>
   Expertise in deep learning algorithms and Generative AI (GenAI)
  </li>
  <li>
   Excellent communication and presentation skills
  </li>
 </ul>
</div>


Senior Data Scientist

PhonePe

<div>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for an experienced Data Scientist with 6+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Lead and drive the development of advanced machine learning models to solve high-impact business challenges.
  </li>
  <li>
   Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value.
  </li>
  <li>
   Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes.
  </li>
  <li>
   Design and implement scalable data pipelines and real-time analytics solutions.
  </li>
  <li>
   Guide and mentor data scientists, fostering a culture of innovation and best practices.
  </li>
  <li>
   Conduct deep-dive analyses to extract meaningful insights from complex and large datasets.
  </li>
  <li>
   Ensure machine learning models are explainable, reproducible, and aligned with business objectives.
  </li>
  <li>
   Present findings and recommendations to key stakeholders in a clear and actionable manner.
  </li>
  <li>
   Work closely with engineering teams to deploy ML models into production environments at scale.
  </li>
  <li>
   Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Bachelor's or Master&rsquo;s degree
   </strong>
   in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
  </li>
  <li>
   <strong>
    6+ years of experience
   </strong>
   in data science, machine learning, or applied statistics. Experience in
   <strong>
    financial services, fintech, e-commerce, or similar data-driven industries
   </strong>
   .
  </li>
  <li>
   Strong expertise in
   <strong>
    Python, SQL
   </strong>
   with proficiency in
   <strong>
    machine learning frameworks
   </strong>
   such as TensorFlow, PyTorch, or Scikit-Learn.
  </li>
  <li>
   Solid understanding of
   <strong>
    big data technologies
   </strong>
   (Spark, PySpark, Hadoop, or similar).
  </li>
  <li>
   Hands-on experience in
   <strong>
    model deployment
   </strong>
   using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.).
  </li>
  <li>
   Expertise in
   <strong>
    statistical modeling, predictive analytics
   </strong>
   .
  </li>
  <li>
   Experience working with
   <strong>
    real-time and batch-processing systems
   </strong>
   .
  </li>
  <li>
   Demonstrated ability to
   <strong>
    translate business problems into data science solutions
   </strong>
   .
  </li>
  <li>
   Excellent problem-solving, critical-thinking, and analytical skills.
  </li>
  <li>
   <strong>
    Strong communication and stakeholder management skills
   </strong>
   , with the ability to explain technical concepts to non-technical audiences.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Experience in
   <strong>
    financial services, fintech, e-commerce, or similar data-driven industries
   </strong>
   .
  </li>
 </ul>
</div>


Weil Group, Inc

<div><b>SUMMARY</b><br>
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.<br>
<br>
<b>FUNCTIONS</b><br>
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Client commercial organization<br>
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen.<br>
3. Taking the initiative and work independently with minimal supervision<br>
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.<br>
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python<br>
6. Working with SQL and other DB query languages<br>
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions<br>
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner<br>
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint<br>
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets<br>
<br>
<b>EDUCATION</b><br>
<ul><li>Doctorate OR</li><li>Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR</li><li>Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR</li><li>Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR</li><li>High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience</li></ul>
<br>
<b>COMPETENCIES/SKILLS</b><br>
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research<br>
2. Experience leading the projects and in executions of the projects end to end<br>
3. Experience with databases including relational, SQL, and Graph<br>
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.<br>
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;<br>
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills<br>
7. Excellent organization/planning skills and talent for managing many large and complex datasets<br>
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end<br>
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner<br>
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)<br>
11. Passion for learning and staying on top of current developments in advanced analytics.<br>
12. Biotech / Pharma experience</div>

Sr Data Scientist

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.<br>
Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil &amp; gas experience is a strong asset but not mandatory; the ideal candidate brings analytical rigor and problem-solving expertise to solve complex field challenges.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Analyze diverse operational datasets (time series, tabular, sensor logs, etc.) to extract insights and guide model development.
</p></div><div><p>Build and evaluate ML models for forecasting, anomaly detection, pattern recognition, and classification.
</p></div><div><p>Work with engineers to define KPIs and convert domain-specific questions into quantifiable modeling tasks.
</p></div><div><p>Design meaningful visualizations and dashboards to communicate model outputs clearly.
</p></div><div><p>Collaborate with ML Ops and software teams to deploy models into production environments and monitor performance.
</p></div><div><p>business trip to Kuwait
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Strong statistical background and data science expertise with real-world datasets.
</p></div><div><p>Proficient in Python (NumPy, pandas, scikit-learn, XGBoost, etc.); SQL fluency and data wrangling skills.
</p></div><div><p>Experience working with large, messy, or multivariate time series data.
</p></div><div><p>Ability to communicate complex model behavior to engineers and stakeholders.
</p></div><div><p>Comfortable working in cross-functional teams with domain and technical experts.
</p></div></div><p>Nice to have
</p><div><div><p>Oilfield data exposure (e.g., well data, reservoir simulations, production logs) or interest in industrial applications.
</p></div><div><p>Familiarity with DOF systems or production optimization frameworks.
</p></div><div><p>Exposure to LLMs, NLP techniques, or agent-based AI for enhancing technical workflows.
</p></div><div><p>Cloud familiarity (Azure preferred); knowledge of ML platforms (e.g., Azure ML, Databricks).
</p></div><div><p>Certifications:
</p></div><div><p>Azure Data Scientist Associate or Microsoft AI Fundamentals certification is a plus.
</p></div><div><p>AWS cloud knowledge is welcome but not required.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Remote India, India
</p></div><p>Req. VR-118736
</p></div><div></div><div><div><p>Data Science
</p></div><div><p>Cross Industry Solutions</p>
</div><div><p>07/11/2025
</p></div><div><p>Req. VR-118736</p></div></div></div><p></p>

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