data scientist

Techversant Infotech

<div><div>What&rsquo;s important to us:

We are seeking a skilled Data Scientist Engineer to build and improve data systems that power analytics, machine learning, and reporting. The ideal candidate has experience with both data engineering and data science&mdash;able to manage large datasets, create predictive models, and turn data into useful insights for better business decisions. make it for senior role

Key Responsibilities:
<ul>
<li>Data mining or extracting usable data from valuable data sources</li>
<li>Using machine learning tools to select features, create and optimize classifiers</li>
<li>Carrying out the preprocessing of structured and unstructured data</li>
<li>Enhancing data collection procedures to include all relevant information for developing analytic systems</li>
<li>Processing, cleansing, and validating the integrity of data to be used for analysis</li>
<li>Analyzing large amounts of information to find patterns and solutions</li>
<li>Developing prediction systems and machine learning algorithms</li>
<li>Presenting results in a clear manner</li>
<li>Propose solutions and strategies to tackle business challenges</li>
<li>Collaborate with Business and IT teams</li>
</ul><h3 class="jobSectionHeader">Preferred Skills</h3>
<ul><li>Programming Skills &ndash; knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.</li>
<li>2+ yrs of experience as a data scientist.</li>
<li>Familiarity with Scala, Java, or C++ is an added advantage.</li>
<li>Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.</li>
<li>Proficiency in statistics is essential for data-driven companies.</li>
<li>Machine Learning &ndash; good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.</li>
<li>Strong Math Skills (Multivariable Calculus and Linear Algebra) &ndash; understanding the fundamentals of multivariable Calculus and Linear</li>
<li>Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.</li>
<li>Data Wrangling &ndash; proficiency in handling imperfections in data is an important aspect of a data scientist job description.</li>
<li>Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data</li>
<li>Excellent Communication Skills &ndash; it is incredibly important to describe findings to a technical and non-technical audience.</li>
<li>Strong Software Engineering Background</li>
<li>Hands-on experience with data science tools</li>
<li>Problem-solving aptitude</li>
<li>Analytical mind and great business sense</li>
<li>Degree in Computer Science, Engineering or relevant field is preferred</li>
<li>Proven Experience as Data Analyst or Data Scientist</li>
</ul>
What Company Offers: 
Excellent career growth opportunities and exposure to multiple technologies. 
Fixed weekday day schedule, meaning, you&rsquo;ll have your weekends off! 
Family Medical Insurance. 
Unique leave benefits and encashment options based on performance. 
Long term growth opportunities. 
Fun family environment surrounded by experienced developers. 
Various internal employee rewards programs based on Performance. 
Opportunities for various other Bonus programs &ndash; for training hours taken, certifications, special value to business through idea and innovation. 
Work life Balance &ndash; flexible work timings, early out Fridays, various social and cultural activities etc.

Company Sponsored International Tours.
</div>
<div><div><div><div>Job Category: Data Science
</div><div>Job Type: Full Time
</div><div>Job Location: Kochi Trivandrum</div></div></div></div></div>

Data Scientist

Strada

<div>Join us on a journey of endless possibilities
At Strada , possibility isn&rsquo;t just a promise &ndash; it&rsquo;s the foundation of everything we do. We believe in unlocking potential for every colleague, creating a journey of growth, discovery, and impact.
With the support, resources, and opportunities we provide, you&rsquo;ll build a fulfilling future &ndash; working on meaningful projects that span industries and regions, contributing to outcomes that matter.
Strada is a people, payroll, and technology leader simplifying international workforce management. Operating in 180+ countries, we design and deliver people-first solutions powered by cloud-based technology &ndash; helping organizations grow and enabling workforces to perform at their best.
Learn more at www.stradaglobal.com
The Role-DM Data Scientist
Responsibilities-
Data Migration (DM) executes all related activities to implement payroll services for several countries and plays an important role in our projects. All steps are defined in the Global Data Migration Strategy, which is adjusted to client and project requirements, together with the client, Strada&rsquo;s Program and Project Management, Enterprise Architects and Engineers and the Payroll Lead. The Data Scientist takes part in one of Strada&rsquo;s new offerings, which is called &lsquo;Data Migration as a Service&rsquo;. This service will be one of the typical ETL services, which we will provide to our clients, comprising Data Quality Assessment, Data Extraction, Transformation, and Validation. Data Scientists will be responsible to build and develop this service based on the requirements detected during the preparation phase of our projects, outlined, and instructed by the DM Lead, aligned with their Data Scientist Technical Manager; they will build workflows with a tool called KNIME, which will then be executed by a DM Support member or the DM Lead; using this process will ensure data quality during our implementation projects.
Steps and processes are defined in the data mapping document, based on the Data Dictionary in our Help Center, and the data requirements outlined by the local Payroll experts. Based on experience, Data Scientists will also support data mapping with the client after 3-6 months.
The DM team consists of different roles and levels; a central Senior DM Lead is accountable for big programs, global strategy and planning, the DM Lead is responsible for the execution, DM Support assists with the volumes. In all projects where our clients require additional service, the Data Scientist will be supporting the other roles within the DM team, and ensure we are meeting KPIs, and the quality threshold agreed in the project.
DM Data Scientist &ndash; Responsibilities
<ul><li>Support local Data Migration Workshops with the client if necessary.
</li><li>Build, test, and execute data quality assessment report
</li><li>Build, test, and execute data extraction and transformation workflows on behalf of the client.
</li><li>Assist DM Lead and DM Support on data mapping, data transformation, and errors encountered during this process; identify gaps and issues during build, test, and execution, be proactive to avoid issues.
</li><li>Develop and perform DM workflows following the instructions of the DM Lead; follow and development standards in Strada, which can be used for test as well as for Go-Live phases.
</li><li>Resolve medium complexity problems related to the functional environment of the applications.
</li><li>Respect timelines, be proactive, update deliverable documents and DM trackers where required; liaise with DM Lead to ensure data issues are resolved for next execution, tracked and followed-up.
</li><li>Support the Data Scientist Technical Manager building a new offering
</li></ul>DM Data Scientist &ndash; Requirements
<ul><li>Bachelor of Engineering preferably in computer science from a reputed college.
</li><li>1 to 3 years of experience in ETL or Data Migration using KNIME, Informatica, Alteryx, SAP BODS or any other data transformation tool.
</li><li>Has knowledge of Human Resources, TIME, and Payroll concepts, and of the related Data Migration processes.
</li><li>Has basic knowledge of HRIS technology, such as Workday, SuccessFactors, Oracle, SAP Human Resources, Peoplesoft, and Payroll (SAP PY, PT, FIORI).
</li><li>Advanced Microsoft Excel skills, MS Access, or similar tools.
</li><li>Knowledge and experience with some of the following technologies: Web Methods, SQL, XSLT, Java, Webservices, Python; integration technologies such as SAP XI/PI not required but good to have.
</li><li>Knowledge of AI Tools and technology will be added advantage .
</li><li>Is a team player.
</li><li>Can work on multiple projects simultaneously, and willing to work in shifts.
</li><li>Has a passport and is willing to travel for business purposes.
</li><li>High level of English is required.
</li><li>Willing to work in shifts.
</li></ul>At Strada, our values guide everything we do:
<ul><li>Anticipate Customer Needs &ndash; We stay ahead of trends so our customers can grow and succeed.
</li><li>Own the Outcome &ndash; We take responsibility for delivering excellence and ensuring things get done right.
</li><li>Challenge Ourselves to Work Smarter &ndash; We move faster than the world around us to drive change and accomplish more.
</li><li>Empower Each Other to Solve Problems &ndash; We tackle challenges head on, ask tough questions, and collaborate to find the best solutions.
</li><li>Care About Our Work &ndash; We understand that what we do impacts millions, and we have a responsibility to get it right.
</li></ul>Benefits
At Strada, we support your whole self&mdash;offering a range of benefits for your health, wellbeing, finances, and future. These include health coverage, wellbeing programs, paid leave (vacation, sick, parental), retirement plans, learning opportunities, and more.
All offers are contingent on successful completion of background checks, where permitted by law and as appropriate for the role. These may include identity, education, employment, and in some cases, criminal history verification, checks against global watchlists, credit reports, and/or drug testing. You&rsquo;ll be informed of the specific checks applicable to your role and location during the recruitment process.
Our commitment to Diversity and Inclusion
Strada is dedicated to fostering a diverse, equitable, and inclusive workplace where everyone feels valued and supported. We believe that embracing differences strengthens our teams and drives innovation and success.
Diversity Policy Statement
Strada is an Equal Opportunity Employer and prohibits discrimination based on legally protected characteristics. We provide reasonable accommodations for disabilities and religious practices. Applicants may request reasonable accommodation by contacting their recruiter.
Authorization to work in the Employing Country
To be considered, you must have current and future work authorization in the country where you're applying, without the need for visa sponsorship by Strada.
Please note: This job description does not limit Strada&rsquo;s right to assign or reassign responsibilities, including to subsidiaries, partners, or future business purchasers.
We offer you a competitive total rewards package, continuing education &amp; training, and tremendous potential with a growing worldwide organization.
DISCLAIMER: 
 
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Strada business units.
.</div>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

Zgrow Solutions Private Limited

Job Title: Data Scientist (Contract &ndash; 1 Year, Auto Extendable) Experience: 3&ndash;5 Years Location: Remote (Open for candidates from Mumbai, Chennai, Pune, Bangalore, Gurgaon)About the RoleWe are seeking a highly skilled Data Scientist with 3&ndash;5 years of hands-on experience to join our team on a 1-year contractual basis (auto extendable). The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to drive business insights and strategic decisions.Key Responsibilities<ul><li>Analyze complex datasets to extract actionable insights and trends.</li><li>Develop, test, and implement predictive models and machine learning algorithms.</li><li>Collaborate with cross-functional teams to understand business challenges and translate them into analytical solutions.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Create reports and dashboards to visualize data findings for stakeholders.</li><li>Stay updated on emerging technologies, tools, and techniques in data science.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>3&ndash;5 years of proven experience as a Data Scientist.</li><li>Strong knowledge of Python, R*, or SQL* for data manipulation and analysis.</li><li>Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, or Matplotlib).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li></ul>Contract Details<ul><li>Type: 1 Year (Auto Extendable)</li><li>Mode: Remote</li></ul>Job Type: Contractual / Temporary Contract length: 12 monthsPay: &#8377;50,000.00 - &#8377;70,000.00 per monthApplication Question(s):<ul><li>What is your current CTC ?</li><li>What is your expected CTC?</li><li>What is your notice period or availability to join?</li><li>How many years of total professional experience do you have?</li></ul>Work Location: Remote

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
 <li>
 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
 <li>
 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
 </li>
 <li>
 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
 <li>
 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
 <li>
 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
 <li>
 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
 <li>
 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
 
 
</div>

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
 <li>
 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
 <li>
 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
 </li>
 <li>
 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
 <li>
 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
 <li>
 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
 <li>
 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
 <li>
 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
</div>

Deloitte

<div>
 
 Dear Candidates,
 
 
 
 
 
 We are looking for Data scientist with minimum 3 years of experience for below skill set for Gurgaon Location.
 
 
 
 
 
 The Job Description is as mentioned below,
 
 
 
 Job Role &ndash;
 
 Data Scientist
 
 
 
 Location &ndash;
 
 Gurgaon
 
 
 
 Experience &ndash;
 
 3 to 12 Years
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Utilize Python, SQL, and PySpark to handle large-scale financial datasets, perform feature engineering, and build robust fraud models.
 </li>
 <li>
 Drive the end-to-end fraud modeling lifecycle including data exploration, model building, validation, deployment, and continuous monitoring.
 </li>
 <li>
 Collaborate closely with business stakeholders, risk teams, and product owners to align fraud detection strategies with organizational goals.
 </li>
 <li>
 Stay abreast of the latest AI frameworks and technologies to incorporate innovative approaches into fraud detection.
 </li>
 <li>
 Ensure compliance with regulatory requirements and data governance policies in model development and deployment.
 </li>
 <li>
 Communicate complex technical concepts effectively to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications:
 
 
 
 Expertise in Python, SQL, and PySpark for data manipulation, model development, and large-scale data processing.
 
 <ul>
 <li>
 Proven experience leading large, multi-disciplinary data science teams and driving strategic initiatives.
 </li>
 <li>
 Strong understanding of AI/ML frameworks such as TensorFlow, PyTorch, or similar.
 </li>
 <li>
 Solid knowledge of predictive modelling techniques including classification, anomaly detection, ensemble methods, and time-series analysis.
 </li>
 <li>
 Experience working with transaction data, payment systems, and fraud risk management.
 </li>
 <li>
 Excellent stakeholder management skills with ability to influence senior leadership and cross-functional teams.
 </li>
 </ul>
 
 
 
 
 Those are interested, Kindly apply on the following link,
 
 
 https://forms.office.com/e/95kQa7LApG
 
</div>

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