data science specialist

Assignedge Network Pvt Ltd

<p><b>Position Title:</b> Data Science and Coding Content Specialist Lead<br/><b>Department:</b> Academic / Curriculum Development<br/><b>Location:</b> Mysuru<br/><b>Reports to:</b> Academic Head / Program Manager<br/><b>Employment Type:</b> Full-time<br/><b>Experience Required:</b> 2+ years in coding, curriculum design, or related field<br/><b>Qualification:</b> Bachelor&rsquo;s Degree in Computer Applications or Engineering (BCA/BE)<br/><b>Compensation:</b> &#8377;5.5 LPA</p><p><b>Role Summary</b></p><p>The <b>Data Science and Coding Content Specialist Lead</b> will design, develop, and manage coding and data science learning content for students. The role involves creating engaging instructional materials, ensuring curriculum quality, and mentoring a team of educators and content developers to maintain excellence in STEM education.</p><p><b>Key Responsibilities1. Curriculum Development</b></p><ul><li>Design and structure coding and data science content for different learning levels (school or early college).</li><li>Develop project-based learning modules in Python, Data Visualization, Machine Learning, and AI fundamentals.</li><li>Review and update curriculum content to align with current industry trends and educational standards.</li><li>Ensure the learning materials include hands-on coding exercises, assessments, and real-world applications.</li></ul><p><b>2. Content Management</b></p><ul><li>Lead the creation of multimedia content (videos, presentations, worksheets, coding challenges).</li><li>Coordinate with graphic designers, educators, and tech teams to develop interactive learning experiences.</li><li>Evaluate and refine existing content for accuracy, quality, and engagement.</li></ul><p><b>3. Team Leadership</b></p><ul><li>Mentor content developers, trainers, and junior specialists in curriculum design and pedagogy.</li><li>Provide regular feedback and conduct quality reviews of instructional materials.</li><li>Manage timelines, deliverables, and documentation for multiple content projects.</li></ul><p><b>4. Training and Support</b></p><ul><li>Conduct teacher and trainer orientation sessions on coding and data science content delivery.</li><li>Support integration of coding content into broader academic programs.</li><li>Assist in building question banks, assessments, and certification frameworks.</li></ul><p><b>Skills &amp; Competencies</b></p><ul><li>Strong understanding of <b>Python, Data Analytics, and Machine Learning</b> fundamentals.</li><li>Proficiency in tools like <b>Jupyter Notebook, Excel, Tableau/Power BI</b> (preferred).</li><li>Knowledge of <b>HTML, CSS, JavaScript, SQL</b>, or related programming languages.</li><li>Excellent written and verbal communication skills.</li><li>Strong analytical and project management abilities.</li><li>Passion for education and curriculum innovation.</li></ul><p><b>Job Benefits</b></p><ul><li>Competitive salary and performance incentives.</li><li>Exposure to innovative STEM and EdTech content creation.</li><li>Opportunities for professional growth and skill enhancement.</li><li>Collaborative and creative work environment.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;40,000.00 - &#8377;45,000.00 per year</p><p>Work Location: In person</p>

Data Science Specialist

Otobid

<div>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Strong technical skills regarding statistics, data analysis, machine learning and programming
  </li>
  <li>
   Strong knowledge of Python
  </li>
  <li>
   Excellent problem-solving skills, use of data to connect multiple ideas and develop solutions
  </li>
  <li>
   Strong knowledge of SQL
  </li>
  <li>
   A portfolio with proven track records (papers, projects, blogs, GitHub repos)
  </li>
  <li>
   Knowledge in Git
  </li>
  <li>
   Good command of English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Points For:
  </strong>
 </p>
 <ul>
  <li>
   MSc degree or PhD in a Computer Science, Statistics, Mathematics or Engineering, etc
  </li>
  <li>
   Strong communication and storytelling skills. Experience in communicating complex concepts with others coming from diverse backgrounds
  </li>
  <li>
   Domain knowledge in similar businesses
  </li>
  <li>
   Experience with containerization and serving Machine Learning models as microservices
  </li>
  <li>
   Systems administration skills in Linux
  </li>
 </ul>
</div>


Birlasoft

<div></div><div><div><div><div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Requisition ID: 30842
</div></div></div></div><div><div><div><div>Work Model:
</div></div></div></div><div><div><div><div>Position Type:
</div></div></div></div><div><div><div><div>Salary Range:
</div></div></div></div><div><div><div><div>Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI
</div></div></div></div></div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Title: </b><b>Data Scientist
</b></h1></div></div></div></div><div><div><div><div>Description:
<div><div><div><h2 class="jobSectionHeader"><b>Area(s) of responsibility</b></h2>
</div><div><ul><li>Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy &amp; Utilities (EnU), Life Sciences, and Manufacturing.</li>
<li>Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.</li>
<li>Lead the end-to-end lifecycle of ML projects&mdash;from data exploration and model development to deployment and monitoring&mdash;ensuring alignment with organizational standards and best practices.</li>
<li>Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.</li>
<li>Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement.</li>
<li>Define and implement data governance, model versioning, and deployment strategies to ensure compliance, reproducibility, and ethical use of AI.</li>
<li>Mentor junior developers and data scientists, fostering a collaborative and innovative team culture.</li>
<li>Communicate technical solutions and project progress to stakeholders and leadership, translating complex ML concepts into business-friendly language.</li>
</ul>
<p><b>Must-Have Skills</b></p>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>4+ years of experience in AI/ML development, with a strong focus on solution design, model development, and deployment.</li>
<li>Proven experience building ML solutions across multiple verticals, especially BFSI, EnU, Life Sciences, and Manufacturing.</li>
<li>Strong proficiency in programming languages such as Python or R, and hands-on experience with ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.</li>
<li>Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).</li>
<li>Strong analytical and problem-solving skills, with the ability to work in fast-paced environments.</li>
<li>Excellent communication skills to convey technical concepts to non-technical audiences.</li>
</ul>
<p><b>Good-to-Have Skills</b></p>
<ul>
<li>Experience with big data technologies (e.g., Spark, Hadoop) and data engineering workflows.</li>
<li>Familiarity with MLOps practices and tools for CI/CD in ML pipelines (e.g., MLflow, Kubeflow, Airflow).</li>
<li>Exposure to AI governance frameworks and responsible AI practices.</li>
<li>Prior experience in consulting or client-facing roles delivering ML solutions.</li>
<li>Advanced certifications in AI/ML or cloud technologies (e.g., AWS Certified ML Specialist, Azure AI Engineer Associate).</li></ul></div></div></div></div></div></div></div></div></div></div></div><p></p>

Data Scientist

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose
</b></h5><p>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always &lsquo;Fly Better.&rsquo; As one of the most recognised and admired brands globally, we&rsquo;re driven by innovation and excellence. Join us as a <b>Data Analytics Specialist </b>and play a key role in driving financial strategy and decision-making for a global business. Experience a fast-paced, multicultural environment where your financial expertise will be central to shaping the future of aviation while making a meaningful impact on a global stage.<br>
</p><p></p><p>As a <b>Data Analytics Specialist in Finance </b>, you will serve as the key link between Finance and the Enterprise Data Analytics (EDA) team, translating business requirements into impactful data solutions. You will design and deliver analytics products that enable data-driven decision-making through advanced visualisations, dashboards, and AI/ML-enabled insights. The role involves managing the Finance data roadmap, collaborating closely with IT, EDA, and other internal stakeholders to ensure timely delivery of data initiatives. You will also support major Finance projects and programmes by leveraging data from the Enterprise Data Platform to drive strategic and operational outcomes.
</p><p><b>In this role, you will:
</b></p><ul><li>Facilitate and support business requirements reviews for analytics initiatives, working closely with relevant teams to identify data sources, data capture needs, and business logic alignment.
</li><li>Project manage the development and delivery of the department&rsquo;s data roadmap by collaborating across internal teams and stakeholders such as IT and Enterprise Data &amp; Analytics (EDA).
</li><li>Oversee data modelling activities to ensure delivery of high-quality, reliable, and business-relevant data products that enable real-time decision-making.
</li><li>Conduct / oversee user acceptance testing (UAT) on EDA data captures, resolve data quality issues with EDA engineers, and confirm deployment readiness.
</li><li>Manage modelled data within the Enterprise Data Warehouse (Snowflake), including creation of custom data views and user role administration.
</li><li>Design and implement analytics solutions, delivering actionable insights through compelling visualisations using appropriate analytical tools such as Microsoft Power BI.
</li><li>Work alongside the Data Science team to implement AI and machine learning enabled analytics.
</li><li>Support major projects and programmes in Finance by providing relevant data from the Enterprise Data Platform.
</li><li>Champion data adoption and democratisation within Finance, supporting upskilling initiatives and conducting workshops or training sessions as required.
</li><li>Act as a data steward for governance and quality compliance, ensuring adherence to enterprise data standards.
</li><li>Develop hands-on expertise in data engineering tools and languages (e.g., Dataiku, Python) and data platforms (e.g., Snowflake) to support analysts in ad-hoc data capture and enrichment activities.
</li></ul><h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be successful in this role, you must meet the below requirements:
</b></p><ul><li>Degree in a relevant field, such as Business Administration, Operational Research, Industrial Engineering, Information Technology etc.
</li><li>A minimum of 5 years of experience in IT and experience in Administration, General administration, Data Analytics, Reporting and Dashboard Implementation.
</li><li>Experience within a similar business area where there has been a strong focus on data analytics with 2 years in a supervisory role.
</li><li>Business Intelligence Knowledge and deep understanding of Power BI Platform and good knowledge on MicroStrategy tool.
</li><li>Good understanding on Data Science, Machine Learning and AI.
</li><li>Good understanding of Snowflake and SQL based data integration
</li>Good understanding of Microsoft suite of data collaboration and process tools like Power Apps, Sharepoint.<br>
<li>
</li></ul><p></p><br>
<p><b>You'll have an edge if you have:
</b></p><ul><li>Experience with the implementation of initiatives that are transformational in nature.
</li><li>Good understanding on Data Governance and its documentation.
</li><li>Ability to understand different user groups needs and translate those into workable solutions suitable for all user groups.
</li><li>Experience of working in a multi-cultural expatriate environment.
</li><li>Project Management experience.
</li><li>Experience in Data Analytics in a Finance data domain.
</li></ul><p>At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team.
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it&rsquo;s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</p></div>

Data Analytics Specialist

TechnipFMC

<div></div><div><div><div><div><div><div><div><div><div><div><div><div><b>Location:
</b>Hyderabad, IN
</div></div></div></div><div><div><div><div><b>Employment type: </b>Employee
</div></div></div></div><div><div><div><div><b>Place of work: </b>Office
</div></div></div></div><div><div><div><div><b>Offshore/Onshore: </b>Onshore
</div></div></div></div><div></div><div><div><p>TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration &ndash; and we want you to be part of it. You&rsquo;ll be joining a culture that values curiosity, expertise, and ideas as well as equal opportunities, inclusion, and authenticity. Bring your unique energy to our team of more than 21,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go.</p>
</div></div><div><div><div><div><div><div><div><div>Job Purpose</div>
</div><div><div>Applies existing data science techniques to new problems and datasets using specialised programming techniques.<br>
Selects from existing data sources and prepares data to be used by data science models.<br>
Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.<br>
Publishes and reports on model outputs to meet customer needs and conforming to agreed standards.</div>
</div></div><div></div><div><div><div>
Job Description</div>
</div><div><div>
<div><b>Main Accountabilities</b></div>
<div>
Establishes strategic recommendations on data collections incorporating business requirements and knowledge of best practices<br>
Identifies and evaluates relevancy of data sources both internal and external, in collaboration with subject matter experts and IT stakeholders<br>
Develops innovative and effective approaches to solve analytics problems through the application of data mining, feature engineering, scenario modelling, advanced algorithms, machine learning, experimental design, and hypothesis testing<br>
Works with the development team to ensure relevant analytics and data is utilized in digital services<br>
Suggests improvements to business metrics for the digital services<br>
Structures and presents data insights in easy to understand terms for external stakeholders</div>
<div><b>
Job Scope</b></div>
<div>
Works with disciplines and technical teams to reorganize data, analzye data, and create predictive insights that guide business behaviors, according to compliance and TPFMC Standards</div>
<div><b>
Typical profile/ Must have</b></div>
<div>
BSc Required, MSc/PhD preferred in Data Science, Computer Science, Computer Engineering, Mathematics, or Statistics
<br>
(Experience can compensate for lack of formal competency)
<br>
BSC with 5+ years of experience or MSc/PhD with 5+ years of experience in data science, data engineering, data analysis, or software development
<br>
5+ years of programming experience in R, python, or other data science language<br>
Competent in creating and optimizing SQL and shell scripts<br>
Capable of analyzing, wrangling, and joining varied datasets
<br>
Capable of using machine learning platforms to design, build, test, refine, and deploy predictive models<br>
Capable of building high-quality graphical visualizations of data
<br>
Capable of effectively structuring information and communicating insights in presentations</div><br>
<div></div>
</div>
</div></div><div></div><div><div><div>You are meant for this job if:</div>
</div><div><ul><li>Thrive on solving complex problems using data-driven approaches.</li>
<li>Have a strong foundation in programming, statistics, and machine learning.</li>
<li>Can translate raw data into actionable insights that influence business decisions.</li>
<li>Communicate technical findings clearly to both technical and non-technical stakeholders.</li>
</ul></div></div><div><div><div>Skills</div>
</div><div><div>Data Science</div><div>
Data Analysis</div><div>
Data Engineering</div><div>
Python</div><div>
R Programming</div></div></div></div>
</div></div></div></div><div><div><p><b>Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes equal opportunities and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matter and we encourage you to add to our culture.</b></p>
<p><b>TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.</b></p><br>
<p></p>
</div></div><div><div><div><div><b>Date posted: </b>Oct 23, 2025
</div></div></div></div><div><div><div><div><b>Requisition number: </b>15497</div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Data Scientist II

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><div><b><i>Who we are:</i></b></div>
<div>
At UST, we help the world&rsquo;s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 25+ countries, we build for boundless impact&mdash;touching billions of lives in the process. Visit us at UST.com<b><i>.</i></b></div>
<div><b><i>
</i></b></div><div><b><i>Summary:</i></b></div>
<div>
UST is looking for Data Scientist Role</div>
<div><b><i>
</i></b></div><div><b><i>The Opportunity:</i></b></div>
<div><i>
In this role, you will be responsible for designing data models, building Model, and delivering meaningful insights using Data science. You will collaborate with business stakeholders to track KPIs, analyze large datasets, and present insights that support decision-making. The role demands expertise in Data Science Model development , SQL, and Python, along with strong analytical and visualization skills.</i></div>
<div><i>
</i></div><div><b><i>Key Responsibilities:</i></b></div>
<ul>
<li>Understand business requirements in the BI context and translate them into data models.</li>
<li>Create interactive dashboards and reports using Power BI.</li>
<li>Identify KPIs with clear objectives and track them consistently.</li>
<li>Analyze large datasets and deliver insights for decision-making.</li>
<li>Work with SQL databases for data extraction and transformation.</li>
<li>Apply KQL (Kusto Query Language) for querying large-scale datasets.</li>
<li>Ensure query optimization, data accuracy, and report reliability.</li>
<li>Provide insights and recommendations based on analysis.</li>
<li>Exposure to visualization tools like Tableau / Qlik is a plus.</li>
<li>Work independently with minimal supervision in time-sensitive environments.</li>
</ul>
<div></div><div><b><i>What you need:</i></b></div>
<ul>
<li><i>Bachelor&rsquo;s degree in Computer Science / Engineering / Data science.</i></li>
<li><i>7&ndash;8+ years of experience in Data science and data analytics.</i></li>
<li><i>Strong background in data modeling, transformation, and visualization.</i></li>
<li><i>Experience in SQL for handling large data queries.</i></li>
<li><i>Ability to communicate complex data insights clearly.</i></li>
<li><i>Strong problem-solving, analytical, and attention-to-detail mindset.</i></li>
<li><i>Excellent collaboration and communication skills.</i></li>
</ul>
<div></div><div><b><i>Required Skills:</i></b></div>
<ul>
<li><i>Data Science &ndash; Model development using Python.</i></li>
<li><i>SQL &ndash; Database handling and optimization.</i></li>
<li><i>Python &ndash; Preferred for data processing.</i></li>
<li><i>Ability to deliver insights and optimize dashboard/report performance.</i></li>
</ul>
<div></div><div><b><i>Desired Skills:</i></b></div>
<ul>
<li><i>Experience with other visualization tools (Tableau, Qlik).</i></li>
<li><i>Knowledge of advanced data visualization principles.</i></li>
<li><i>Ability to work in cross-functional teams.</i></li>
</ul>
<div></div><div><b><i>Qualification:</i></b></div>
<ul>
<li>B.Tech in Computer Science / Computer Engineering / EE or equivalent experience.</li>
<li>7&ndash;8+ years of relevant work experience<b><i>.</i></b></li>
</ul>
<div></div><div><b><i>What we believe:</i></b></div>
<ul>
<li>Humility: Listen, learn, and help selflessly.</li>
<li>Humanity: Better the lives of those less fortunate through business.</li>
<li>Integrity: Honor commitments and act responsibly in all relationships.</li>
</ul>
<div></div><div>Equal Employment Opportunity Statement:</div>
<div>
UST is an Equal Opportunity Employer. Employment decisions are made without regard to age, race, ethnicity, gender, religion, disability, or any other protected category under law.</div>
<div>
</div><div>Skills:</div>
<div>
Data Science , Model Development, SQL, Python,</div></div><br>
<div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><div>Skills:</div>
<div>
Data Science , Model Development, SQL, Python,</div></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data scientist

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

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