machine learning lead

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p><b>
Job Summary</b><br>
We are seeking a passionate and talented <b>Data Scientist Lead</b> to join our dynamic team.</p><p>
The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p>
Key Responsibilities:
</p><ul><li>Lead, coach, and mentor junior and mid-level data scientists through regular feedback, code reviews, and technical guidance.
</li><li>Define and enforce technical standards and best practices across modeling, experimentation, documentation, and deployment.
</li><li>Own the end-to-end data science lifecycle, from problem framing and data exploration to modeling, validation, and production deployment.
</li><li>Design and deliver machine learning and predictive models aligned with business priorities, while partnering with product, engineering, and business stakeholders.
</li><li>Review and approve modeling approaches and performance metrics, translate insights for non-technical audiences, support team growth, and drive adoption of emerging AI/ML techniques.</li></ul><p></p><b><br>
Requirements</b><br>
<ul><li>
7+ years of experience in Data Science and Machine Learning, with proven team leadership and mentoring experience.
</li><li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and hands-on experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, and LightGBM.
</li><li>Solid foundation in statistics, experimentation design, and model evaluation techniques.
</li><li>Proven experience deploying and maintaining machine learning models in production environments.
</li><li>Excellent communication, leadership, and stakeholder management skills.</li></ul></div><p></p>

Data Scientist Lead

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: DATA SCIENTIST LEAD L1
</div></div></div></div><div><div><div><div>City: Hyderabad
</div></div></div></div><div><div><div><div>State/Province: Telangana
</div></div></div></div><div><div><div><div>Posting Start Date: 2/16/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Demand generation through support in Solution development
</b></p><p>a. Support Go-To-Market strategy
</p><p>i. Collaborate with sales, pre-sales &amp;consulting team to assist in creating solutions and propositions for proactive demand generation
</p><p>ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
</p><p>b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
</p><p><b>2. Revenue generation through Building &amp; operationalizing Machine Learning, Deep Learning solutions
</b></p><p>a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
</p><p>b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
</p><p>c. Integrate model performance management tools into the current business infrastructure
</p><p><b>3. Team Management
</b></p><p>a. Resourcing
</p><p>i. Support recruitment process to on-board right resources for the team
</p><p>b. Talent Management
</p><p>i. Support on boarding and training for the team members to enhance capability &amp; effectiveness
</p><p>ii. Manage team attrition
</p><p>c. Performance Management
</p><p>i. Conduct timely performance reviews and provide constructive feedback to own direct reports
</p><p>ii. Be a role model to team for five habits
</p><p>iii. Ensure that the Performance Nxt is followed for the entire team
</p><p>d. Employee Satisfaction and Engagement
</p><p>i. Lead and drive engagement initiatives for the team
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
 </b></p><div><div><div><div><b>No. </b></div><div><b>Performance Parameter </b></div><div><b>Measure
 </b></div></div><br>
<div><div>1. </div><div>Demand generation </div><div>Order booking
 </div></div><br>
<div><div>2. </div><div>Revenue generation through delivery </div><div>Timeliness, customer success stories, customer use cases
 </div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new skills, Team attrition %<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Data Analysis .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

DATA SCIENTIST LEAD L1

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: DATA SCIENTIST LEAD L1
</div></div></div></div><div><div><div><div>City: Bengaluru
</div></div></div></div><div><div><div><div>State/Province: Karnataka
</div></div></div></div><div><div><div><div>Posting Start Date: 2/18/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Demand generation through support in Solution development
</b></p><p>a. Support Go-To-Market strategy
</p><p>i. Collaborate with sales, pre-sales &amp;consulting team to assist in creating solutions and propositions for proactive demand generation
</p><p>ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
</p><p>b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
</p><p><b>2. Revenue generation through Building &amp; operationalizing Machine Learning, Deep Learning solutions
</b></p><p>a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
</p><p>b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
</p><p>c. Integrate model performance management tools into the current business infrastructure
</p><p><b>3. Team Management
</b></p><p>a. Resourcing
</p><p>i. Support recruitment process to on-board right resources for the team
</p><p>b. Talent Management
</p><p>i. Support on boarding and training for the team members to enhance capability &amp; effectiveness
</p><p>ii. Manage team attrition
</p><p>c. Performance Management
</p><p>i. Conduct timely performance reviews and provide constructive feedback to own direct reports
</p><p>ii. Be a role model to team for five habits
</p><p>iii. Ensure that the Performance Nxt is followed for the entire team
</p><p>d. Employee Satisfaction and Engagement
</p><p>i. Lead and drive engagement initiatives for the team
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
 </b></p><div><div><div><div><b>No. </b></div><div><b>Performance Parameter </b></div><div><b>Measure
 </b></div></div><br>
<div><div>1. </div><div>Demand generation </div><div>Order booking
 </div></div><br>
<div><div>2. </div><div>Revenue generation through delivery </div><div>Timeliness, customer success stories, customer use cases
 </div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new skills, Team attrition %<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Data Science .<br>
<p></p>Experience: 5-8 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: DATA SCIENTIST LEAD L2
</div></div></div></div><div><div><div><div>City: Pune
</div></div></div></div><div><div><div><div>State/Province: Maharashtra
</div></div></div></div><div><div><div><div>Posting Start Date: 2/21/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><p><b>Role Purpose
</b></p><p>The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Do
</b></p><p><b>1. Demand generation through support in Solution development
</b></p><p>a. Support Go-To-Market strategy
</p><p>i. Collaborate with sales, pre-sales &amp;consulting team to assist in creating solutions and propositions for proactive demand generation
</p><p>ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
</p><p>b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses
</p><p><b>2. Revenue generation through Building &amp; operationalizing Machine Learning, Deep Learning solutions
</b></p><p>a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
</p><p>b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
</p><p>c. Integrate model performance management tools into the current business infrastructure
</p><p><b>3. Team Management
</b></p><p>a. Resourcing
</p><p>i. Support recruitment process to on-board right resources for the team
</p><p>b. Talent Management
</p><p>i. Support on boarding and training for the team members to enhance capability &amp; effectiveness
</p><p>ii. Manage team attrition
</p><p>c. Performance Management
</p><p>i. Conduct timely performance reviews and provide constructive feedback to own direct reports
</p><p>ii. Be a role model to team for five habits
</p><p>iii. Ensure that the Performance Nxt is followed for the entire team
</p><p>d. Employee Satisfaction and Engagement
</p><p>i. Lead and drive engagement initiatives for the team
</p></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Deliver
 </b></p><div><div><div><div><b>No. </b></div><div><b>Performance Parameter </b></div><div><b>Measure
 </b></div></div><br>
<div><div>1. </div><div>Demand generation </div><div>Order booking
 </div></div><br>
<div><div>2. </div><div>Revenue generation through delivery </div><div>Timeliness, customer success stories, customer use cases
 </div></div><br>
<div><div>3. </div><div>Capability Building &amp; Team Management </div><div>% trained on new skills, Team attrition %<br>
</div></div><br>
</div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div>Mandatory Skills: Data Analysis .<br>
<p></p>Experience: 8-10 Years .<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

DATA SCIENTIST LEAD L2

Amgen

<div><p>The AI/ML Lead will head Amgen&rsquo;s AI/ML practice within the Innovation Lab, driving the development, validation, and deployment of machine learning and GenAI solutions across R&amp;D, Manufacturing, and Commercial domains.</p><p></p><p>
This role requires strong technical depth, leadership skills, and a deep understanding of responsible AI frameworks within regulated environments.</p><p><b><br>
Key Responsibilities</b></p><ul><li>
Lead AI/ML strategy and implementation across multiple PoDs in the Innovation Lab.</li><li>
Translate Amgen&rsquo;s business objectives into data-driven AI/ML initiatives.</li><li>
Define architecture, standards, and best practices for model design, training, and validation.</li><li>
Oversee MLOps and CI/CD integration to enable scalable model deployment.</li><li>
Guide the team on data preparation, feature engineering, and experimentation.</li><li>
Review and approve model validation reports, metrics, and explainability artifacts.</li><li>
Ensure compliance with Responsible AI, GxP, and privacy frameworks.</li><li>
Collaborate with SMEs and Data Governance leads to align models with business and ethical objectives.</li><li>
Mentor engineers, fostering innovation and technical excellence.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
10&ndash;15 years of experience in data science or machine learning engineering.</li><li>
Proven leadership in AI/ML project delivery and technical governance.</li><li>
Expertise in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.</li><li>
Experience with MLOps, MLflow, Databricks, and AWS SageMaker.</li><li>
Strong grounding in model lifecycle management and validation documentation.</li><li>
Excellent analytical, communication, and cross-functional collaboration skills.</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
Experience with GenAI / LLM architectures (LangChain, OpenAI APIs, Hugging Face).</li><li>
Prior exposure to pharma, biotech, or life sciences R&amp;D.</li><li>
Certification in Machine Learning / Data Science / AWS AI Specialist.</li><li>
Familiarity with data privacy regulations (HIPAA, GDPR) and ethical AI standards.</li></ul></div><p></p>

Principal Machine Learning Engineer

CapTech Consulting

<div><b>Company Description</b><p><br>
CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.</p><br>
<div></div>
<b>
Job Description</b><p><br>
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.</p><p><b><i>
Specific responsibilities for the Lead Machine Learning Engineer position include:
</i></b></p><ul><li>Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs</li><li>
Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.</li><li>
Deconstructing client needs into data-driven processes/models and analytical measures.</li><li>
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).</li><li>
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).</li><li>
Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.</li><li>
Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.</li></ul><br>
<div></div>
<b>
Qualifications</b><br>
<ul><li>
7+ years of experience delivering data engineering and machine learning solutions on cloud platforms</li><li>
Bachelor's degree or equivalent combination of education and experience.</li><li>
Experience providing technical leadership and mentoring other engineers in data engineering space</li><li>
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.</li><li>
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.</li><li>
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.</li><li>
Proficiency with containerization (e.g., Docker) and microservices.</li><li>
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS</li><li>
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.</li><li>
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)</li><li>
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).</li><li>
Knowledge of DevOps and automation best practices.</li><li>
Knowledge of statistics and statistical modeling methods.</li><li>
Knowledge of model management and model versioning best practices.</li><li>
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting</li><li>
Experience with prompt engineering, MCP and RAG, and agentic AI architectures</li><li>
Strong understanding of conversational UX and prompt evaluation metrics</li><li>
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)</li><li>
Experience with multi-agent orchestration</li></ul><br>
<div></div>
<b>
Additional Information</b><p><br>
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.</p><ul><li>
Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths</li><li>
Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs</li><li>
Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care</li><li>
Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more</li><li>
Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations</li><li>
Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.</li><li>
401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness</li></ul><p>
CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.</p></div><p></p>

Lead Machine Learning / Data Science Engineer

Reliance Industries Limited

<div>
 <p>
  Interested candidates, kindly mail to
  <strong>
   <u>
    enpcareers.hr@ril.com
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Summary of Role:
  </strong>
 </p>
 <ul>
  <li>
   Lead innovation in the CLEAN ENERGY vertical by defining how data science and analytics create measurable business value across operations and decision-making.
  </li>
  <li>
   Oversee the data science team, ensuring alignment with business strategy and delivery of high-impact analytics use cases.
  </li>
  <li>
   Partner with business leaders and functional heads to identify key risks, optimization opportunities, and data-driven interventions.
  </li>
  <li>
   Design, develop, and deploy advanced analytics, machine learning, and predictive models using structured and unstructured data from subsurface, drilling, operational, and monitoring systems.
  </li>
  <li>
   Lead the development and utilization of big data platforms to support CLEAN ENERGY analytics at scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Accountabilities:
  </strong>
 </p>
 <ul>
  <li>
   Track CLEAN ENERGY vertical operational performance against analytical models and monitor KPIs related to production efficiency, safety, environment, and cost.
  </li>
  <li>
   Identify, monitor, and quantify operational, safety, and environmental risks using advanced analytics.
  </li>
  <li>
   Drive adoption and evangelization of a data science culture across business units through education, communication, and demonstrable use cases.
  </li>
  <li>
   Define and manage the data science roadmap, capabilities, and infrastructure in collaboration with digital and IT teams.
  </li>
  <li>
   Manage external analytics partners, vendors, and research collaborators.
  </li>
  <li>
   Build and develop data science talent through role definition, recruitment, mentoring, and capability development.
  </li>
  <li>
   Define the scope, design, and implementation of ML/AI models to support CLEAN ENERGY initiatives such as predictive maintenance, anomaly detection, optimization, and forecasting.
  </li>
  <li>
   Lead the formulation and optimization of algorithms supporting CLEAN ENERGY products, services, and stakeholder outcomes.
  </li>
  <li>
   Collaborate with digital leaders to ensure secure, reliable, scalable, and cost-effective analytics infrastructure and operations.
  </li>
  <li>
   Ensure effective communication with internal teams, leadership, and stakeholders at all levels.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills Required:
  </strong>
 </p>
 <ul>
  <li>
   High proficiency in programming and scripting languages such as SQL, Python, or similar.
  </li>
  <li>
   Strong expertise in probability, statistics, machine learning, experimental design, and optimization techniques.
  </li>
  <li>
   Experience working with big data platforms and distributed systems (Hadoop ecosystem).
  </li>
  <li>
   Hands-on experience with statistical and modeling tools such as SAS, R, MATLAB, and advanced statistical and visualization platforms.
  </li>
  <li>
   Expertise in time-series analysis, anomaly detection, and sensor/operational data analytics relevant to the energy sector.
  </li>
  <li>
   Strong understanding of data management, databases (SQL, PL/SQL), and data pipelines.
  </li>
  <li>
   Excellent documentation, communication, and presentation skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience Required:
  </strong>
 </p>
 <ul>
  <li>
   Minimum of 15 years of experience in data science, analytics, or advanced modeling roles, preferably at a senior or leadership level.
  </li>
  <li>
   Proven track record of leading high-performing data science teams delivering measurable business impact.
  </li>
  <li>
   Demonstrated experience in advanced quantitative analysis and statistical modeling applied to complex operational environments.
  </li>
  <li>
   Experience leading cross-functional teams in mid-to-large organizations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Educational Qualification:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s/MS in Statistics, Engineering, Computer Science, or an equivalent discipline from a reputed Tier-I institute (desirable).
  </li>
  <li>
   Bachelor&rsquo;s/BS in Statistics, Engineering, or an equivalent discipline from a reputed university or college.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Interested candidates, kindly mail to
  <strong>
   <u>
    enpcareers.hr@ril.com
   </u>
  </strong>
 </p>
</div>


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