data science and iot manager

ADB Safegate

<div><div><div><div><div>Contract Type: Permanent
</div></div></div></div><div><div><div><div>Job Location: Hyderabad - India
</div></div></div></div><div><div><div><div><div><b>Type: Full-time | Immediate Start<br>
</b></div><div></div><div><b>Who Are We?<br>
</b></div><div><br>
ADB SAFEGATE is the market leader in Airfield Solutions, with a presence in 2,300 airports and 40 offices worldwide. We are building ADB SAFEGATE India Labs in Hyderabad, India &ndash; our latest software development hub. This is an opportunity to join a truly global company, working on innovative software solutions that support airport operations across Airfield, Apron, Terminal, Tower, and Weather solutions.<br>
</div><div></div><div><b>The opportunity<br>
</b></div><div></div><div>We are looking for a <b>Data Science Leader &ndash; Airside 4.0 </b>to drive Airside 4.0 innovation&mdash;solve critical airfield challenges through data science and first-principles engineering. Build algorithms, simulations, and solutions that make airports safer and more efficient worldwide.
</div><div>This is <b>technical leadership without people management </b>. You&rsquo;ll use cases end-to-end, drive technical direction, and collaborate across engineering, product, and customer teams. This role combines the expertise of a data scientist with the practical problem-solving of a systems engineer, requiring a deep understanding of airside systems, customer use cases, and the engineering principles behind our products.<br>
</div><div></div><div><b>What will you do?<br>
</b></div><div></div><ul><li><b>Use Case Development </b>: Leading the development of Airside 4.0 use cases by understanding customer problems, analyzing data from our systems and sensors, and designing innovative solutions based on first principles.
</li><li><b>Algorithm Design </b>: Creating and implementing algorithms to extract actionable insights from data and optimize airfield operations, such as improving safety, efficiency, and resource utilization.
</li><li><b>Simulation and Modeling </b>: Developing simulation models to test and validate solutions, optimize system performance, and predict outcomes under various scenarios.
</li><li><b>Systems Understanding </b>: Gaining a deep knowledge of ADB SAFEGATE's products, including sensors, lighting, and guidance systems, and how they interact within the airfield ecosystem.
</li><li><b>Collaboration </b>: Partnering with engineering, product management, and customer-facing teams to ensure solutions aligned with business objectives and customer needs.
</li><li><b>Data Analysis </b>: Collecting, processing, and analyzing data from airfield systems to uncover patterns, trends, and opportunities for improvement.
</li><li><b>First Principles Problem-Solving </b>: Applying engineering and physics fundamentals to tackle complex, real-world airfield challenges and develop practical, scalable solutions.
</li><li><b>Technical Leadership </b>: Acting as a subject matter expert in Airside 4.0 technologies, guiding the organization&rsquo;s technical direction in this area and mentoring other technical team members.<br>
</li></ul><div></div><div><b>We&rsquo;re Looking for Someone With:<br>
</b></div><div></div><ul><li>A bachelor&rsquo;s degree in engineering, Physics, Computer Science, or a related technical field. A master&rsquo;s degree or equivalent experience is a plus.
</li><li>A minimum of 8&ndash;10 years of relevant experience in data analysis, algorithm development, system modeling, or engineering roles involving technical problem-solving.
</li><li>Strong knowledge of engineering and/or physics principles, with the ability to approach problems from a first-principles perspective.
</li><li>Proven experience in simulation and modeling techniques to test and validate solutions and predict system behavior under various conditions.
</li><li>Familiarity with sensor systems, IoT devices, and data collection/processing methodologies.
</li><li>An understanding of airfield operations and/or airport systems is highly desirable.
</li><li>Proficiency in programming languages (such as Python or MATLAB) for data analysis, algorithm development, and simulation modeling.
</li><li>Strong analytical and problem-solving skills, with the ability to work independently and think critically.
</li><li>Excellent communication and collaboration skills, with the ability to present complex technical concepts to non-technical audiences.
</li>A passion for innovation, technology, and continuous learning.<br>
<li>
</li></ul><div></div><div><b>Why Join ADB Safegate?<br>
</b></div><div></div><ul><li>Be part of a global organization (1500+ employees) driving innovation in aviation and our key employees in Data science at our new office ADB SAFEGATE Labs in Hyderabad.
</li><li>Technical leadership role to shape the future of airfield operations and be a key contributor to ADB SAFEGATE&rsquo;s Airside 4.0 vision.
</li><li>Global impact: collaboration with teams across Europe and North America.
</li><li>Competitive salary, benefits, and career growth opportunities.
</li>A collaborative and flexible work culture that values your contributions.<br>
<li>
</li></ul><p></p><p>If you want to join a global business and enjoy being a team player who's driven and passionate, then this is your opportunity to come on board by applying!
</p><p>What to learn more about working at ADB SAFEGATE then check out our Career's website https://adbsafegate.com/about/career/
</p></div></div></div></div><div><div><p>ADB SAFEGATE is an equal opportunity employer. ADB SAFEGATE does not discriminate against any employee or applicant for employment because of characteristics protected by law, including but not limited to, race, color, age, creed, religion, national origin, ancestry, sex, sexual orientation, marital status, veteran status, or disability. If you need assistance or reasonable accommodation in completing this application or during the interview, please contact our Human Resources Department.
</p></div></div><div><div><div><div>Req Id: 1227</div></div></div></div></div>

Data Science Leader - Airside 4.0

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

Genpact

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovative-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
We are inviting applications for the role of Manager &ndash; Data Science!<br>
This role is part of the Analytics Enablement team and is responsible for leading strategic data science projects, managing stakeholder relationships, and driving impactful insights across business units. You will lead a team of data professionals, ensuring delivery excellence and innovation in AI-driven solutions.<br>
Responsibilities:<br>
<ul><li>Develop and implement a data science roadmap that aligns with business priorities, ensuring projects deliver measurable impact and support strategic goals.</li><li>Lead and oversee end-to-end delivery of data science projects, ensuring quality and timeliness.</li><li>Partner with senior stakeholders to influence decision-making through data-driven insights.</li><li>Manage team performance, provide mentorship, and foster a culture of innovation.</li><li>Ensure compliance with data governance, security, and ethical AI standards.</li><li>Drive adoption of advanced analytics and AI solutions across business units.</li><li>Prioritize projects, allocate resources effectively, and manage risks.</li><li>Stay ahead of emerging technologies and best practices to guide strategic initiatives.</li></ul></div><div>
Work location: Bangalore<br>
Minimum qualifications:<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in data science, Computer Science, Statistics, or related field. Relevant experience in leading data science projects.</li></ul>
Preferred qualifications:<br>
<ul><li>Exposure to cloud platforms (AWS, Azure, GCP).</li><li>Experience with big data tools (Spark, Hadoop).</li><li>Knowledge of MLOps and model deployment best practices.</li></ul>
Technical skills:<br>
<ul><li>Proficiency in Python, R, and SQL for data processing and modeling.</li><li>Strong understanding of machine learning algorithms and statistical techniques.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead projects independently and deliver under tight timelines.</li></ul>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a</li></ul>
foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquo;s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobManager</p><p>
Primary LocationIndia-Bangalore</p><p>
ScheduleFull-time</p><p>
Education LevelMaster's / Equivalent</p><p>
Job PostingDec 19, 2025, 1:01:56 AM</p><p>
Unposting DateJan 18, 2026, 12:29:00 PM</p><p>
Master Skills ListOperations</p><p>
Job CategoryFull Time</p></div>

Manager – Data Science

U Microfinance Bank Limited

<div>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  The
  <strong>
   Manager &ndash; BI Analytics &amp; Data Science
  </strong>
  drives data-driven decision-making by building end-to-end analytical solutions. The role bridges the gap between raw data and business strategy by managing the full lifecycle of data&mdash;from pipeline engineering and ETL to advanced predictive modeling and high-impact
  <strong>
   Power BI
  </strong>
  visualizations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Engineering &amp; Advanced Analytics
  </strong>
 </p>
 <ul>
  <li>
   Streamline
   <strong>
    ETL processes
   </strong>
   and develop
   <strong>
    optimized data models
   </strong>
   to drive efficient, high-performance
   <strong>
    Power BI
   </strong>
   reporting and advanced analytical insights.
  </li>
  <li>
   Develop and deploy
   <strong>
    Machine Learning models
   </strong>
   and statistical frameworks to solve complex business problems.
  </li>
  <li>
   Utilize
   <strong>
    SQL, Python, or R
   </strong>
   to perform deep-dive analysis and identify predictive trends.
  </li>
  <li>
   Maintain the integrity and performance of the
   <strong>
    data architecture
   </strong>
   supporting analytics.
  </li>
 </ul>
 <p>
  <strong>
   2. Power BI Visualization &amp; Reporting
  </strong>
 </p>
 <ul>
  <li>
   Lead the design and maintenance of interactive
   <strong>
    Power BI dashboards
   </strong>
   and automated reporting tools.
  </li>
  <li>
   Translate complex datasets into clear, visual stories that allow stakeholders to track
   <strong>
    KPIs
   </strong>
   in real-time.
  </li>
  <li>
   Utilize
   <strong>
    Advanced Excel
   </strong>
   for specialized data manipulation, ad-hoc analysis, and complex financial modeling.
  </li>
  <li>
   Communicate technical findings to non-technical stakeholders to guide strategic growth.
  </li>
 </ul>
 <p>
  <strong>
   3. Governance &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Align data initiatives with cross-functional business goals while ensuring compliance with
   <strong>
    data governance
   </strong>
   and security policies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   <strong>
    Bachelor&rsquo;s or Master&rsquo;s degree
   </strong>
   in Data Science, Computer Science, or Statistics.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   <strong>
    4&ndash;5 years
   </strong>
   in BI and Data Science.
  </li>
  <li>
   <strong>
    Industry Preference:
   </strong>
   <strong>
    Prior experience in the Banking or Financial Services sector
   </strong>
   is highly preferred and will be a significant
   <strong>
    plus point
   </strong>
   .
  </li>
  <li>
   <strong>
    Technical Stack:
   </strong>
   Expertise in
   <strong>
    Power BI
   </strong>
   ,
   <strong>
    SQL
   </strong>
   , and
   <strong>
    Advanced Excel
   </strong>
   , with strong proficiency in
   <strong>
    Python/R
   </strong>
   ,
   <strong>
    ETL development
   </strong>
   , and
   <strong>
    data modeling
   </strong>
   .
  </li>
  <li>
   <strong>
    Expertise:
   </strong>
   Hands-on experience in
   <strong>
    Machine Learning
   </strong>
   , statistical analysis, and creating advanced
   <strong>
    DAX measures
   </strong>
   .
  </li>
  <li>
   <strong>
    Banking Domain:
   </strong>
   <strong>
    Banking knowledge or past experience in banking
   </strong>
   is a plus, specifically regarding credit risk, deposits, branchless banking, or financial regulatory requirements.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
   Sharp
   <strong>
    analytical thinking
   </strong>
   and the ability to present data insights clearly to leadership.
  </li>
 </ul>
 <p>
 </p>
</div>


Manager – BI Analytics & Data Science

<p></p><div><div><div>Ready to build the future with AI?<br>
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
If you thrive in a fast-moving, innovative-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.<br>
We are inviting applications for the role of Manager &ndash; Data Science!<br>
This role is part of the Analytics Enablement team and is responsible for leading strategic data science projects, managing stakeholder relationships, and driving impactful insights across business units. You will lead a team of data professionals, ensuring delivery excellence and innovation in AI-driven solutions.<br>
Responsibilities:<br>
<ul><li>Develop and implement a data science roadmap that aligns with business priorities, ensuring projects deliver measurable impact and support strategic goals.</li><li>Lead and oversee end-to-end delivery of data science projects, ensuring quality and timeliness.</li><li>Partner with senior stakeholders to influence decision-making through data-driven insights.</li><li>Manage team performance, provide mentorship, and foster a culture of innovation.</li><li>Ensure compliance with data governance, security, and ethical AI standards.</li><li>Drive adoption of advanced analytics and AI solutions across business units.</li><li>Prioritize projects, allocate resources effectively, and manage risks.</li><li>Stay ahead of emerging technologies and best practices to guide strategic initiatives.</li></ul></div><div>
Work location: Bangalore<br>
Minimum qualifications:<br>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in data science, Computer Science, Statistics, or related field. Relevant experience in leading data science projects.</li></ul>
Preferred qualifications:<br>
<ul><li>Exposure to cloud platforms (AWS, Azure, GCP).</li><li>Experience with big data tools (Spark, Hadoop).</li><li>Knowledge of MLOps and model deployment best practices.</li></ul>
Technical skills:<br>
<ul><li>Proficiency in Python, R, and SQL for data processing and modeling.</li><li>Strong understanding of machine learning algorithms and statistical techniques.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead projects independently and deliver under tight timelines.</li></ul>
Why join Genpact?<br>
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a</li></ul>
foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquo;s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div><p></p><p><br>
JobManager</p><p>
Primary LocationIndia-Bangalore</p><p>
ScheduleFull-time</p><p>
Education LevelMaster's / Equivalent</p><p>
Job PostingDec 19, 2025, 2:07:58 AM</p><p>
Unposting DateJan 18, 2026, 12:29:00 PM</p><p>
Master Skills ListOperations</p><p>
Job CategoryFull Time</p></div>

Manager – Data Science!

<div>
 Are you ready to help shape the future of AI? Join our dynamic Data Science Center of Excellence (CoE) and be at the forefront of transforming real business challenges into innovative, AI-powered solutions. As a Data Scientist in the CoE, you&rsquo;ll work with experienced data scientists, engineers, and business leaders to accelerate experimentation and deliver high-impact projects that drive business strategy forward.
 <br/>
 <br/>
 You&rsquo;ll play a pivotal role in both exploring new AI opportunities through experimentation and delivering robust data science solutions to address the highest-priority business needs. This is a fast-paced environment where flexibility is key&mdash;your ability to quickly adapt and pivot to urgent business deliverables will ensure you&rsquo;re making the biggest impact possible.
 <br/>
 <br/>
 This is your chance to dive deep into exciting AI and data science opportunities&mdash;from designing time-boxed experiments on critical business problems to developing models and solutions that make a measurable difference in areas like pricing, risk assessment, and customer engagement. You&rsquo;ll have the chance to learn, innovate, and contribute to best-in-class practices, all while collaborating globally with teams across the organization.
</div>


Manager-Data Science-Data Scientist

MNR solutions pvt.ltd

<p><b>Data Scientist &ndash; ML &amp; AI</b></p><p><b>Location:</b> Hyderabad / Pune<br/><b>Experience:</b> 6&ndash;8 Years<br/><b>Employment Type:</b> Full-time<br/><b>Notice Period:</b> Immediate to 30 Days</p><p><b>Role Overview</b></p><p>We are looking for an experienced <b>ML + Data Science Engineer</b> to build advanced predictive models, optimization solutions, and data-driven systems that support enterprise-scale decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Build <b>forecasting &amp; predictive models</b> (ARIMA, Prophet, LSTM, regression, classification)</li><li>Apply <b>optimization &amp; Deep Reinforcement Learning (DRL)</b> for inventory, routing, and resource allocation</li><li>Perform <b>EDA &amp; feature engineering</b> on large datasets</li><li>Evaluate models and ensure interpretability using <b>SHAP / LIME</b></li><li>Collaborate with AI &amp; engineering teams to deploy models into production workflows</li></ul><p><b>Required Skills</b></p><ul><li>Strong <b>Python</b> (NumPy, Pandas, Scikit-learn, PyTorch / TensorFlow)</li><li>Expertise in <b>time-series forecasting &amp; classical ML</b></li><li>Solid foundation in <b>statistics, probability &amp; optimization</b></li><li>Experience with <b>DRL frameworks</b> (Ray RLlib, Stable Baselines, etc.)</li><li><b>SQL, Spark / PySpark</b> for large-scale data processing</li><li>Bachelor&rsquo;s / Master&rsquo;s in Data Science, ML, CS, Statistics, or related field</li></ul><p><b>Nice to Have</b></p><ul><li>Azure ML &amp; Data Services</li><li>Supply chain / operations analytics experience</li><li>OR-Tools or optimization libraries</li><li>Computer Vision system development</li></ul><p><b>Soft Skills</b></p><ul><li>Strong communication &amp; collaboration skills</li><li>Detail-oriented with excellent follow-up</li><li>Ability to multitask in fast-paced environments</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Scientist – ML & AI

Search 10000+ Data science and iot manager jobs near you this January. New roles added regularly across leading industries. Apply today.