data science engineer

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Science Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
About the Role: 
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
Responsibilities: 
<ul>
<li>Use data to create new, scalable solutions for business pricing problems.</li>
<li>Design experiments, measure results and provide a point of view in decision-making.</li>
<li>Develop and implement advanced analytics and machine learning models to solve complex business problems.</li>
<li>Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.</li>
<li>Ensure the quality and integrity of data used for analysis and modeling.</li>
<li>Stay up-to-date with the latest trends and advancements in data science and machine learning.</li>
<li>Oversee the deployment of machine learning models into production environments.</li>
<li>Maintain documentation of data science processes and methodologies.</li>
</ul>
Requirements: 
<ul>
<li>4 to 5 years in a data science role</li>
<li>Strong drive to learn, experiment, and drive outcomes.</li>
<li>Strong background in statistical analysis and machine learning.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with building custom deep learning models (using pytorch).</li>
<li>Experience with optimization, routing and task assignment problems.</li>
<li>Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a PLUS.</li>
<li>Experience with Google Big Query, and Vertex API is a plus.</li>
<li>Advanced SQL Experience, ability to query complex data correctly and efficiently.</li>
<li>Excellent knowledge of data wrangling and preprocessing techniques.</li>
<li>Strong problem-solving skills and ability to think critically.</li>
<li>Excellent communication skills, with the ability to present complex information clearly and concisely.</li>
<li>A proactive and innovative mindset, with a strong attention to detail.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Senior Data Science Engineer

Emerson

<div>
 
 Job Description
 
 
 
 
 In This Role, Your Responsibilities Will Be:
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
 </li>
 <li>
 Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
 </li>
 <li>
 Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
 </li>
 <li>
 Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
 </li>
 <li>
 Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
 </li>
 <li>
 Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
 </li>
 <li>
 Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
 </li>
 <li>
 Develop and implement best practices in data management, data modeling, code, and data quality assurance.
 </li>
 <li>
 Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
 </li>
 <li>
 Actively participate and contribute to innovation activities like ideathons, hackathons.
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 You take initiatives and doesn&rsquo;t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned
 
 
 </li>
 </ul>
 
 For This Role, You Will Need:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
 </li>
 <li>
 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
 </li>
 <li>
 Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
 </li>
 <li>
 Strong programming skills in Python is a must.
 </li>
 <li>
 Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
 </li>
 <li>
 Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
 </li>
 <li>
 Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications That Set You Apart:
 
 
 
 <ul>
 <li>
 Possession of relevant certification/s in data science from reputed universities (like any of the four IIT's in India.) specializing in AI
 
 
 </li>
 </ul>
 
 Our Culture &amp; Commitment to You
 
 
 
 At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives&mdash;because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
 
 
 We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave
 
 
 
 About Us
 
 
 
 
 WHY EMERSON
 
 
 
 
 Our Commitment to Our People
 
 
 
 At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
 
 
 We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world&rsquo;s most complex problems &mdash; for our customers, our communities, and the planet. You&rsquo;ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
 
 
 At Emerson, you&rsquo;ll see firsthand that our people are at the center of everything we do. So, let&rsquo;s go. Let&rsquo;s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let&rsquo;s go, together.
 
 
 
 Accessibility Assistance or Accommodation
 
 
 
 If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com .
 
 
 
 About Emerson
 
 
 
 Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
 
 
 With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
 
 
 We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you&rsquo;re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you&rsquo;ll find your chance to make a difference with Emerson. Join our team &ndash; let&rsquo;s go!
 
 
 
 No calls or agencies please.
 
</div>

Data Science Engineer

Antons

Key Responsibilities 
<ul>
<li>
 ML Pipeline Engineering: Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.
</li>
<li>
 Model Development: Develop and optimize ML models, particularly for healthcare predictive analytics.
</li>
<li>
 Integration: Embed ML models into KPI-driven data processing and analytics workflows.
</li>
<li>
 Model Lifecycle Management: Implement model monitoring, drift detection, retraining, and continuous improvement strategies.
</li>
<li>
 Collaboration: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.
</li>
</ul>

InvoZone

Job descriptionInvoZone is a leading software development company headquartered in the US with offices in Canada, Malaysia and Pakistan. We offer a combination of consulting, outsourcing, and specialized services to a global clientele across all types of web and mobile app development projects. The company was launched by experienced and visionary IT professionals with more than 10 years of industry experience in the fraternity of software development.We take pride in our diversified team that consists of people from both local and international backgrounds working together to strive for excellence. If you think you have the technical skills to contribute to our fast-growing business, feel free to apply. We are seeking a skilled AI/ML Engineer with strong expertise in Data Science and Data Engineering to design, develop, and deploy machine learning models and data pipelines. The ideal candidate will work on extracting actionable insights from large datasets, building scalable data solutions, and contributing to AI-driven products. Key Responsibilities:<ul><li>Develop and deploy machine learning and deep learning models for business use cases.</li><li>Design, implement, and maintain ETL pipelines and large-scale data processing workflows.</li><li>Analyze structured and unstructured data to generate insights and recommendations.</li><li>Collaborate with cross-functional teams to integrate AI/ML models into production systems.</li><li>Optimize algorithms for performance, scalability, and accuracy.</li><li>Implement data governance, validation, and quality standards.</li></ul>Required Skills &amp; Expertise:<ul><li>Proficiency in Python, R, or Scala for AI/ML and data engineering tasks.</li><li>Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Strong knowledge of data engineering tools: SQL, Spark, Hadoop, Airflow, or similar.</li><li>Experience with cloud platforms: AWS, GCP, or Azure.</li><li>Solid understanding of statistical modeling, predictive analytics, and data visualization.</li><li>Familiarity with deploying ML models using APIs or microservices architecture.</li><li>Experience of NLP, Computer Vision, or recommendation systems.</li><li>Experience with real-time data streaming (Kafka, Kinesis).</li><li>Familiarity with MLOps practices and CI/CD for ML pipelines.</li></ul>Job Type: Full-timeJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML: 1 year (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML/Data Science Engineer

Sintov

About the RoleWe are looking for a highly skilled Data Scientist (AI/ML + Azure) to join our dynamic team. The ideal candidate will have a strong background in machine learning, data analytics, and cloud-based AI solutions&mdash;particularly using Microsoft Azure. You will design, build, and deploy end-to-end AI/ML models and data pipelines that drive business impact and innovation.Key Responsibilities<ul><li>Design, develop, and deploy AI/ML models and predictive analytics solutions using Azure Machine Learning and related services.</li><li>Build, optimize, and maintain data pipelines and ETL processes for large-scale datasets.</li><li>Collaborate with business stakeholders to translate requirements into data-driven solutions.</li><li>Conduct data wrangling, feature engineering, and model evaluation to ensure model robustness and accuracy.</li><li>Deploy and monitor models in production using MLOps best practices.</li><li>Utilize Azure Data Lake, Databricks, and Synapse Analytics for scalable data management and analysis.</li><li>Present insights and recommendations through data visualization and storytelling tools (e.g., Power BI, Tableau).</li><li>Continuously research and experiment with emerging AI technologies to enhance business processes.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li><li>5+ years of experience in Data Science or Machine Learning Engineering.</li><li>Hands-on experience with Azure AI/ML tools, including Azure Machine Learning, Databricks, Synapse, and Cognitive Services.</li><li>Strong programming skills in Python (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).</li><li>Experience with SQL, data modeling, and data warehouse architectures.</li><li>Familiarity with MLOps, CI/CD, and version control (Git).</li><li>Solid understanding of statistics, probability, and experimental design.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul>Preferred Qualifications<ul><li>Azure certifications such as Azure Data Scientist Associate (DP-100) or Azure AI Engineer Associate (AI-102).</li><li>Experience with LLMs (Large Language Models), Generative AI, or NLP-based solutions.</li><li>Exposure to Power BI, Tableau, or other visualization tools.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

Data Sceintist

Alexion Pharmaceuticals

<div><div><div>Location: Bengaluru, India
</div><div>Job reference: R-236634</div>
<div>Date posted: 11/07/2025</div>
</div><div><h1 class="jobSectionHeader">Job Title: Analyst &ndash; Data Engineer</h1>
Grade : C3
Shift: 2 pm to 11 pm IST
Role: Individual contributor role.
Location: Manyata Tech Park, Bangalore.
Introduction to role: 
Are you ready to make a difference in the world of data science and advanced analytics? As a Data Engineer within the Commercial Strategic Data Management team, you'll play a pivotal role in transforming data science solutions for the Rare Disease Unit. Your mission will be to craft, develop, and deploy data science solutions that have a real impact on patients' lives. By leveraging cutting-edge tools and technology, you'll enhance delivery performance and data engineering capabilities, creating a seamless platform for the Data Science team and driving business growth. Collaborate closely with the Data Science and Advanced Analytics team, US Commercial leadership, Sales Field Team, and Field Operations to build data science capabilities that meet commercial needs. Are you ready to take on this exciting challenge?<div>
Accountabilities: 
<ul><li>Collaborate with the Commercial Multi-functional team to find opportunities for using internal and external data to enhance business solutions.</li><li>Work closely with business and advanced data science teams on cross-functional projects, delivering complex data science solutions that contribute to the Commercial Organization.</li><li>Manage platforms and processes for complex projects using a wide range of data engineering techniques in advanced analytics.</li><li>Prioritize business and information needs with management; translate business logic into technical requirements, such as creating queries, stored procedures, and scripts.</li><li>Interpret data, process it, analyze results, present findings, and provide ongoing reports.</li><li>Develop and implement databases, data collection systems, data analytics, and strategies that optimize data efficiency and quality.</li><li>Acquire data from primary or secondary sources and maintain databases/data systems.</li><li>Identify and define new process improvement opportunities.</li><li>Manage and support data solutions in BAU scenarios, including data profiling, designing data flow, creating business alerts for fields, and query optimization for ML models.</li></ul></div><div>
Essential Skills/Experience: 
<ul><li>BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics)</li><li>4+ years of work experience with DB skills like Python, SQL, Snowflake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata</li><li>Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services</li><li>Experience in building ETL pipeline and data integration</li><li>Build efficient Data Management (Extract, consolidate and store large datasets with improved data quality and consistency)</li><li>Streamlined data transformation: Convert raw data into usable formats at scale, automate tasks, and apply business rules</li><li>Good written and verbal skills to communicate complex methods and results to diverse audiences; willing to work in a cross-cultural environment</li><li>Analytical mind with problem-solving inclination; proficiency in data manipulation, cleansing, and interpretation</li><li>Experience in support and maintenance projects, including ticket handling and process improvement</li><li>Setting up Workflow Orchestration (Schedule and manage data pipelines for smooth flow and automation)</li><li>Importance of Scalability and Performance (handling large data volumes with optimized processing capabilities)</li><li>Experience with Git</li></ul></div><div>
Desirable Skills/Experience: 
<ul><li>Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS; use these technologies along with statistical tools like Python/R</li><li>Experience working with HTTP requests/responses and API REST services</li><li>Familiarity with data visualization tools like Tableau, Qlik, Power BI, Excel charts/reports</li><li>Working knowledge of Salesforce/Veeva CRM, Data governance, and Data mining algorithms</li><li>Hands-on experience with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)</li><li>Good experience in consulting, healthcare, or biopharmaceuticals</li></ul></div>
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. 
At AstraZeneca's Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each other's successes and take pride in giving back to our communities. Here, your career is more than just a path; it's a journey to making a difference where it truly counts. 
Ready to make a difference? Apply now to join our team! 
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Date Posted
07-Nov-2025
Closing Date
28-Nov-2025
Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E-Verify.</div></div>

Analyst – Data Engineer

Sonata Software

<div>About Sonata Software
In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail &amp; CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like GeJob Title: Data Science Engineer
Experience: 4&ndash;8 years
Role Summary:<div><div>
Role Overview:</div>
<div>The Microsoft Fabric Developer will be responsible for designing, developing, and maintaining end-to-end data and analytics solutions using the Microsoft Fabric platform. The role involves working across Data Engineering, Data Science, and Business Intelligence components within Fabric &mdash; leveraging Data Factory, Lakehouse, Data Engineering, Data Science, and Power BI experiences to deliver scalable, governed, and business-ready insights.</div>
<div>This position requires strong technical expertise in Microsoft Fabric architecture, Power BI, and Azure data services, coupled with the ability to translate business needs into performant, automated data pipelines and analytical models.</div></div>
Key Responsibilities:<ul><li><div>
Data Ingestion &amp; Integration</div><ul><li>
Design and implement data ingestion pipelines using Microsoft Fabric Data Factory.</li></ul><div>
2. Data Engineering &amp; Modeling</div><ul><li>
Build Lakehouses, Warehouses, and Data Models using Fabric Data Engineering capabilities.</li></ul><div>
3. Business Intelligence &amp; Visualization</div><ul><li>
Develop semantic models and interactive dashboards using Power BI within Fabric.</li></ul><div>
4. Collaboration &amp; Automation</div><ul><li>
Collaborate with Data Scientists, Analysts, and Business SMEs to support ML model training and deployment pipelines within Fabric.</li></ul><div>
5. Governance &amp; Best Practices</div><ul><li>
Implement data security, RBAC, sensitivity labels, and data sharing policies in Fabric</li></ul><div>
Required Skills &amp; Experience:</div><ul><li>
4&ndash;8 years of experience in data engineering, BI, or analytics, with at least 1 year in Microsoft Fabric.</li><li>
Strong proficiency in Microsoft Fabric components, including:</li><ul><li>
Data Factory, Lakehouse, Data Engineering, Data Science, Warehouse, Power BI, OneLake.</li></ul><li>
Advanced skills in SQL, PySpark, and Data Modeling.</li><li>
Experience with Power BI datasets, DAX, and data visualization best practices.</li><li>
Familiarity with Microsoft Purview for governance and Entra ID (Azure AD) for access control.</li><li>
Understanding of ETL/ELT pipelines, CI/CD for data pipelines, and Azure DevOps integration.</li><li>
Exposure to Azure Synapse, Databricks, or Azure Data Lake migration to Fabric.</li></ul><div>
Good-to-Have Skills:</div><ul><li>
Experience integrating Microsoft Fabric with Copilot and GenAI-based insights.</li><li>
Knowledge of Python, Notebooks, or ML model deployment within Fabric Data Science experience.</li><li>
Understanding of RAG pipelines, AI-driven analytics, or Semantic Kernel integration.</li><li>
Certification: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).</li><li>
Exposure to D365 data sources, Power Platform, or Azure Data Factory (legacy).</li></ul><div>
Education:</div><ul><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or a related field.</li></ul><div>
Soft Skills:</div><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent collaboration and communication abilities.</li><li>
Ability to translate business needs into data-driven outcomes.</li><li>
Focus on performance optimization, governance, and automation.</li></ul></li></ul></div>

Developer

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