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data scientist

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Job Title: Data Scientist &ndash; Predictive Forecasting
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 We are seeking a talented
 
 Data Scientist
 
 specializing in
 
 Statistical modelling, Predictive modelling, Time Series Forecasting
 
 to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 
 Develop and Implement Models:
 
 </li>
 <li>
 Design and implement and Maintain time series forecasting models to predict key business metrics.
 </li>
 <li>
 Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
 </li>
 <li>
 
 Data Analysis and Insight Generation:
 
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Generate actionable insights that inform business strategies and operational improvements.
 </li>
 <li>
 
 Collaborate with Cross-Functional Teams:
 
 </li>
 <li>
 Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
 </li>
 <li>
 
 Communicate Findings:
 
 </li>
 <li>
 Present analysis results and insights to stakeholders in a clear and concise manner.
 </li>
 <li>
 Prepare reports, visualizations, and dashboards to communicate data findings.
 </li>
 <li>
 
 Continuous Improvement:
 
 </li>
 <li>
 Monitor model performance and implement enhancements as necessary.
 </li>
 <li>
 Stay updated with the latest developments in data science, machine learning, and time series forecasting.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in data science or a related role.
 </li>
 <li>
 Proven experience with time series analysis and forecasting techniques is a plus
 </li>
 </ul>
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
 </li>
 <li>
 MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
 </li>
 <li>
 Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
 </li>
 <li>
 Insights presentation - PowerPoint
 </li>
 <li>
 Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation abilities.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
 
 
</div>

Data Scientist

Alexion Pharmaceuticals, Inc.

<div>
 Job Title: Data Scientist
 
 
 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 dive into the world of commercial analytics and make a real impact? As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions. Your mission will be to design, develop, and deploy advanced AI and machine learning models, leveraging diverse healthcare datasets to uncover actionable insights and optimize business processes.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions.
 </li>
 <li>
 Support the design, development, and deployment of AI and machine learning models tailored to business needs.
 </li>
 <li>
 Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools.
 </li>
 <li>
 Maintain and update scalable analytical models for recurring analyses and future use cases.
 </li>
 <li>
 Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation.
 </li>
 <li>
 Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey.
 </li>
 <li>
 Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes.
 </li>
 <li>
 Apply predictive modeling to enhance customer experience, targeting, and other business outcomes.
 </li>
 <li>
 Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities.
 </li>
 <li>
 Support ad hoc analyses and production operations as needed.
 
 
 </li>
 </ul>
 
 Essential Skills/Experience
 
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.
 </li>
 <li>
 At least 4 years&rsquo; experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.
 </li>
 <li>
 Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.
 </li>
 <li>
 Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.
 </li>
 <li>
 Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).
 </li>
 <li>
 Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).
 </li>
 <li>
 Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.
 </li>
 <li>
 Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.
 
 
 </li>
 </ul>
 
 Desirable Skills/Experience
 
 
 
 <ul>
 <li>
 Ability to analyze and visualize data using modern data visualization techniques.
 </li>
 <li>
 Skilled in data manipulation, cleansing, and interpretation.
 </li>
 <li>
 Domain experience in healthcare, or biopharmaceutical industries.
 
 
 </li>
 </ul>
 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-Oct-2025
 
 
 
 Closing Date
 
 
 
 25-Oct-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>

Genpact

<div>
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 
 
 
 
 <ul>
 <li>
 Work Location: Mumbai &amp; Bangalore
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Designing and implementing complex machine learning and Artificial Intelligence model
 </li>
 <li>
 Work closely with development team on designing and implementing the solutions and managing the delivery of various products
 </li>
 <li>
 Participate in training sessions.
 </li>
 <li>
 Stay informed about the developments in AI and LLMs.
 </li>
 </ul>
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 Minimum Qualifications / Skills
 
 
 
 
 <ul>
 <li>
 5+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 Supervised and Unsupervised learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
 </li>
 <li>
 Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
 </li>
 </ol>
 <ul>
 <li>
 Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
 </li>
 <li>
 Familiar with NoSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environment
 </li>
 <li>
 PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
 </li>
 </ul>
 
 
</div>

Microsoft

<div>
 The MCAPS AI Transformation (AIT) organization is at the forefront of Microsoft&rsquo;s mission to accelerate AI-driven business value for customers and partners. As a Data Scientist in MCAPS AIT, you will join a dynamic team dedicated to building innovative AI and ML solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. You will be responsible for designing, developing, and maintaining AI/ML solutions and data products to support our business goals. You will work in a collaborative, growth-mindset environment, leveraging Microsoft&rsquo;s cutting-edge AI stack&mdash;including Copilot, LLMs, and cloud-native technologies&mdash;to deliver scalable, secure, and high-impact products. The ideal candidate will have a strong background in data science, be detail-oriented, and possess excellent problem-solving skills. Our data scientists are empowered to experiment, learn, and drive measurable impact across Microsoft&rsquo;s global commercial ecosystem.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy robust AI/ML models that support business objectives.
 </li>
 <li>
 Conduct exploratory data analysis and communicate findings to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;including product managers, data scientists, data engineers and UX designers&mdash;to deliver end-to-end features from concept to production.
 </li>
 <li>
 Participate in code reviews, architecture discussions, and contribute to data science and engineering best practices.
 </li>
 <li>
 Assist in building and maintaining models and data science pipelines for MCAPS business units.
 </li>
 <li>
 Write well-documented, high-quality, and maintainable code.
 </li>
 <li>
 Ensure solutions adhere to Microsoft&rsquo;s Responsible AI principles, compliance, and security standards.
 </li>
 <li>
 Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Engineering, or a related technical field wih a miniumum 3 years' experience and at least 2 years' in Data Science.
 </li>
 <li>
 Strong programming skills in Python, SQL, PySpark and proficiency in data science libraries (e.g., scikit-learn, pandas, NumPy).
 </li>
 <li>
 Mastery of machine learning fundamentals and statistical modelling.
 </li>
 <li>
 Knowledge of LLMs and Azure AI stack / services including Azure AI Foundry and Copilot Studio.
 </li>
 <li>
 Strong problem-solving skills and a passion for learning new technologies.
 </li>
 <li>
 Demonstrated ability to leverage AI tools (e.g., GitHub Copilot, Azure AI Foundry) for code generation, automation, and productivity enhancement.
 </li>
 <li>
 Ability to work collaboratively in a team environment and communicate technical concepts clearly.
 </li>
 <li>
 Demonstrated ability to drive innovation and deliver results in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in multiple programming languages and development frameworks.
 </li>
 <li>
 Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code.
 </li>
 <li>
 Familiarity with version control systems (e.g., Git).
 </li>
 <li>
 Experience with Generative AI and familiarity with Microsoft&rsquo;s AI ecosystem and tools such as Copilot Studio.
 </li>
 <li>
 Knowledge of security, compliance, and Responsible AI principles in software development.
 </li>
 <li>
 Experience with Azure cloud platform and building distributed systems or web services.
 
 
 </li>
 </ul>
 #AITjobs
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Description Summary:
 
 
 This job will develop and implement data science models and algorithms to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.
 
 
 
 Job Description:
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement data science models and algorithms.
 </li>
 <li>
 Analyze and interpret complex data sets.
 </li>
 <li>
 Ensure data quality and integrity.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements.
 </li>
 <li>
 Optimize data processes for efficiency and performance.
 </li>
 <li>
 Perform advanced statistical analysis and reporting.
 
 
 
 </li>
 </ul>
 
 Expected Qualifications:
 
 
 
 <ul>
 <li>
 Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
 
 
 
 </li>
 </ul>
 
 Additional Responsibilities And Preferred Qualifications
 
 
 <ul>
 <li>
 Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
 </li>
 <li>
 Be data-driven and outcome-focused
 </li>
 <li>
 Must have good business judgment with demonstrated ability to think creatively and strategically
 </li>
 <li>
 Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
 </li>
 <li>
 Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
 </li>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Economics, Engineering or related field with 2-3 years&rsquo; experience, or Master&rsquo;s degree with 1-2 years&rsquo; experience in risk management, data science and/or loss forecasting, in the payments space or banking/finance services industry would be particularly desirable.
 </li>
 <li>
 Proficiency using SQL and querying relational databases
 </li>
 <li>
 Experience in at least one statistical programming language (SAS, R, Python)
 </li>
 <li>
 Familiarity with reporting tools (Tableau, Power BI or Qlik) is highly desired.
 </li>
 <li>
 Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
 </li>
 <li>
 Experience with structuring analyses to solve business problems using data and analytics tools and techniques
 
 
 
 </li>
 </ul>
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
 
 
 We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com
 
 
 
 Who We Are:
 
 
 
 To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
 
 
 REQ ID R0131264
</div>

Turing

<div>
 A prominent US client is seeking Data Scientists to join their team. As a Data Scientist, you will play a critical role in conducting thorough peer code reviews, providing insightful feedback, and collaborating closely with researchers and stakeholders to align with project goals.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Write Python code to analyze public datasets and extract valuable insights.
 </li>
 <li>
 Communicate effectively with researchers to stay aligned with company objectives.
 </li>
 <li>
 Develop clear, well-documented code using Jupyter notebooks.
 </li>
 <li>
 Utilize public data sources (e.g., Kaggle, UN, US Government) to address business-related queries.
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science, or equivalent experience.
 </li>
 <li>
 Strong proficiency in Python for data science and data analysis.
 </li>
 <li>
 Comprehensive understanding of data science methodologies.
 </li>
 <li>
 Fluent in spoken and written English.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 
 </li>
 </ul>
 
 Job Benefits
 
 
 
 <ul>
 <li>
 Collaborate with top experts worldwide and expand your professional network.
 </li>
 <li>
 Enjoy remote work flexibility.
 </li>
 <li>
 Competitive global-standard salary in USD.
 </li>
 <li>
 Contribute to projects pushing the boundaries of technology, keeping you at the forefront of AI advancements.
 
 
 </li>
 </ul>
 
 Selection Process
 
 
 
 <ul>
 <li>
 Shortlisted developers may be asked to complete an assessment.
 </li>
 <li>
 If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
 </li>
 <li>
 Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
 </li>
 </ul>
</div>

Remote Data Scientist

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