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analyst, data & analytics Jobs in House Counsel Jobs In Mangaluru

analyst, data & analytics

data scientist

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 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>

Data Scientist

Takeda

<div>
 By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
 
 
 
 Job Description:
 
 
 
 
 The Future Begins Here:
 
 
 
 At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
 
 
 Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
 
 
 
 At Takeda&rsquo;s ICC we Unite in Diversity:
 
 
 
 Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
 
 
 
 The Opportunity:
 
 
 
 As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.
 
 
 
 Objectives:
 
 
 
 As a Salesforce Data Cloud, EINSTEIN, Agentforce Software Engineer, you'll combine technical skills on Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), Salesforce Data cloud, EINSTEIN and Agentforce .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Act as the technical developer for building agentic UI experience for our commercial and medical users
 </li>
 <li>
 Clarification of technical details in backlog items and technical design and build of backlog items.
 </li>
 <li>
 Set standards &amp; best practices within capability, and encourage adherence to those.
 </li>
 <li>
 Proactively address any risks &amp; issues together with the team, and raise to program/portfolio oversight, as required
 </li>
 <li>
 Ensure appropriate level of technical documentation.
 </li>
 <li>
 Cross-pollination of applicable standards &amp; practices between teams.
 </li>
 <li>
 Discussion on business requirements with stakeholders.
 </li>
 <li>
 Pro-active suggestions of new features or tools.
 </li>
 <li>
 Alignment &amp; communication with other service lines on overarching practices &amp; approaches.
 </li>
 <li>
 Ensure re-useability of features within business functions.
 </li>
 <li>
 Build and optimize generative AI applications using models like GPT, LLaMA, Gemini, OpenAI or custom models
 </li>
 <li>
 Create effective prompts and fine-tune models for specific domains, ensuring high accuracy and relevance.
 </li>
 <li>
 Develop APIs, microservices, and integrate generative AI models into production environments.
 </li>
 <li>
 Collect, clean, and preprocess datasets for model training and evaluation.
 </li>
 <li>
 Conduct experiments with various model architectures, hyperparameters, and training strategies to enhance performance.
 </li>
 <li>
 Work closely with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
 </li>
 <li>
 Implement AI governance, bias detection, and responsible AI practices in accordance with ethical and regulatory standards.
 </li>
 <li>
 Keep up with the latest research and advancements in generative AI, NLP, and multimodal AI technologies.
 </li>
 <li>
 Should understand capabilities of salesforce agentforce and datacloud.
 
 
 </li>
 </ul>
 
 EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related study, or equivalent experience
 </li>
 <li>
 3+ years of relevant professional experience in working in native UI/UX capabilities(react.js. HTML. CSS)
 </li>
 <li>
 Strong understanding of UI Framework(Bootstrap, Material UI, Semantic UI)
 </li>
 <li>
 Experience in salesforce data cloud and Agentforce,
 </li>
 <li>
 Proficiency in
 
 Python:
 
 , TensorFlow, PyTorch, or similar ML frameworks.
 </li>
 <li>
 Experience with
 
 Large Language Models (LLMs):
 
 ,
 
 transformers:
 
 , and
 
 generative architectures:
 
 </li>
 <li>
 Knowledge of
 
 prompt engineering:
 
 and
 
 fine-tuning techniques:
 
 .
 </li>
 <li>
 Familiarity with
 
 APIs:
 
 , REST, and microservice development.
 </li>
 <li>
 Experience in Agile development using agile methods like Scrum and/or Kanban
 </li>
 <li>
 Excellent oral and written communication skills, business acumen, and enterprise knowledge.
 </li>
 <li>
 Strong experience in design or in implementing solutions or products and preferable experience in quality improvement.
 </li>
 <li>
 Understand design thinking and can explain and convince stakeholders.
 </li>
 <li>
 Understands pharma and experience working in AI space with pharma customers
 </li>
 <li>
 Work with virtual/agile teams in different locations, aligning and adapting different work, culture, and communication styles
 </li>
 <li>
 Proficiency in English in both verbal and written communication is a must.
 
 
 </li>
 </ul>
 
 WHAT TAKEDA CAN OFFER YOU:
 
 
 
 <ul>
 <li>
 Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
 </li>
 <li>
 At Takeda, you take the lead on building and shaping your own career.
 </li>
 <li>
 Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.
 
 
 </li>
 </ul>
 
 BENEFITS:
 
 
 
 It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are
 
 
 <ul>
 <li>
 Competitive Salary + Performance Annual Bonus
 </li>
 <li>
 Flexible work environment, including hybrid working
 </li>
 <li>
 Comprehensive Healthcare Insurance Plans for self, spouse, and children
 </li>
 <li>
 Group Term Life Insurance and Group Accident Insurance programs
 </li>
 <li>
 Health &amp; Wellness programs including annual health screening, weekly health sessions for employees.
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
 </li>
 <li>
 Broad Variety of learning platforms
 </li>
 <li>
 Diversity, Equity, and Inclusion Programs
 </li>
 <li>
 Reimbursements &ndash; Home Internet &amp; Mobile Phone
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
 
 
 </li>
 </ul>
 
 ABOUT ICC IN TAKEDA:
 
 
 
 <ul>
 <li>
 Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.
 </li>
 <li>
 As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
 
 
 </li>
 </ul>
 
 Locations:
 
 
 
 IND - Bengaluru
 
 
 
 Worker Type:
 
 
 
 Employee
 
 
 
 Worker Sub-Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
</div>

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

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:
 
 
 <ul>
 <li>
 Apply strategic and data analytics skills to solve problems in the PayPal Global Risk Management team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. The Business Strategy and Planning - Automation Strategy (BSAP ASTRA) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency.
 
 
 
 </li>
 </ul>
 
 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>
 1+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
 
 </li>
 </ul>
 
 Additional Responsibilities And Preferred Qualifications
 
 
 <ul>
 <li>
 Provide analytical insights into problems, emerging trends and changes to portfolio
 </li>
 <li>
 Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
 </li>
 <li>
 Identify new opportunities and continuous improvement to contribute to the team&rsquo;s KPIs and targets
 </li>
 <li>
 Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
 </li>
 <li>
 Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
 </li>
 <li>
 Preferred Qualifications
 </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 R0133235
</div>

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning, etc
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist II

Auxia

<div>
 
 Auxia is building the
 
 Agentic Customer Journey Orchestration Platform
 
 , redefining how enterprises activate, engage, and retain their customers through intelligent, adaptive AI systems. Backed by
 
 $23.5M in funding
 
 from top-tier investors &mdash; VMG Technology Partners, Stage 2 Capital, and MUFG Innovation Partners &mdash; we&rsquo;re on a mission to make every enterprise truly intelligent.
 
 
 Our founders,
 
 Sandeep Menon (ex-VP Marketing, Google)
 
 and
 
 Ravi Desu (ex-Global Engineering Lead, WhatsApp Payments @ Meta)
 
 , are building Auxia with the same ambition and technical excellence that powered global platforms used by billions.
 
 
 Today, Auxia powers
 
 3B+ daily events
 
 ,
 
 6,500 queries per second
 
 , and
 
 250M+ decisions per day
 
 , helping global enterprises like
 
 DOCOMO, Mercari, and MUFG
 
 unlock the full potential of their first-party data.
 
 
 
 
 
 
 Your Impact
 
 
 
 You won&rsquo;t just be joining a data science team &mdash; you&rsquo;ll be shaping the future of autonomous, AI-driven personalization. As a
 
 Staff Data Scientist
 
 , you&rsquo;ll lead innovation at the intersection of recommender systems, causal inference, reinforcement learning, and LLM-based personalization. Your work will directly influence how millions of end-users experience hyper-personalized content in real time.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 &bull; Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
 
 
 &bull; Design and deploy autonomous agents that understand goals, make real-time decisions, and continuously optimize engagement.
 
 
 &bull; Partner with engineering and product leaders to translate cutting-edge AI research into scalable systems.
 
 
 &bull; Lead experimentation frameworks that bridge causality, personalization, and business impact.
 
 
 &bull; Mentor across teams &mdash; setting the data science bar for both experimentation and productization.
 
 
 &bull; Stay ahead of the curve by bringing ideas from academia and industry research into production.
 
 
 
 
 
 
 What You Bring
 
 
 
 &bull; M.Tech/PhD or related course in Computer Science, Machine Learning, or a related field.
 
 
 &bull; 10+ years of experience building and deploying production ML systems at scale.
 
 
 &bull; Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
 
 
 &bull; Mastery of PyTorch / TensorFlow / JAX, and the Python data ecosystem (NumPy, Pandas, SciPy).
 
 
 &bull; Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.
 
 
 &bull; Strong product sense, with the ability to balance research depth and real-world impact.
 
 
 &bull; An entrepreneurial, ownership-driven mindset &mdash; the ability to ship, iterate, and scale models fast.
 
 
 
 
 
 
 Why Auxia
 
 
 
 &bull;
 
 Impact
 
 &ndash; Be at the forefront of Agentic AI, driving the evolution of enterprise personalization &mdash; from manual segmentation to self-learning systems.
 
 
 &bull;
 
 Influence
 
 &ndash; Work directly with Auxia&rsquo;s founders and leadership team, alongside ex-Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.
 
 
 &bull;
 
 Growth
 
 &ndash; A pivotal role in a high-growth AI company scaling rapidly across the U.S. and Japan, with exposure to Fortune 500 customers and industry-defining challenges.
 
 
 &bull;
 
 Work Environment
 
 
 
 ➜ 100% Onsite, Bellandur, Bangalore (5 days/week) &ndash; because innovation thrives in collaboration.
 
 
 ➜ Fast-moving, research-driven environment where ideas turn into production within weeks.
 
 
 ➜ A team that believes in freedom with accountability &mdash; great minds solving hard problems, together.
 
 
 &bull;
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.
 
 
 
 
 
 
 Ready to Join the Journey?
 
 
 
 Auxia is not just a company &mdash; it&rsquo;s a movement to make every customer interaction intelligent, adaptive, and human.
 
 
 If you&rsquo;re driven by deep technical challenges, global impact, and the chance to build with some of the sharpest minds from Google, Meta, and Lyft, this is your next big leap.
 
</div>

Staff Data Scientist

Equifax

<div>
 
 Synopsis of the role
 
 
 
 Understand client&rsquo;s business requirements in terms of analytical needs and be a part of a High-class delivery team to deliver unparalleled analytical solutions using best in class analytical techniques.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Ability to understand BFSI business problems and consult client on the appropriate solutions
 </li>
 <li>
 Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs.
 </li>
 <li>
 Contribute to Building the BFSI Analytics practice through on- going identification of new opportunities.
 </li>
 <li>
 Provide hands-on support to the project team in developing ML models
 </li>
 <li>
 Build bureau-based Analytics capabilities and use the new age technology to implement those solutions
 
 
 </li>
 </ul>
 
 What Experience You Need
 
 
 
 <ul>
 <li>
 Understanding of key business and risk KPI&rsquo;s for retail banking products
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 <li>
 2+ years&rsquo; experience in handling BFSI analytics models
 </li>
 <li>
 Credit risk modeling development experience is a must
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 <li>
 Python coding experience is a must have technical skill
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 <li>
 Regulatory modeling development experience is good to have (ECL)
 </li>
 <li>
 Highly analytical with experience of working in teams
 </li>
 <li>
 Self-starter with high energy levels and ability to work in a fast-paced environment.
 </li>
 <li>
 In-depth business &amp; risk understanding.
 </li>
 <li>
 Adaptability to work in project-based engagements across different kinds of banking clients.
 </li>
 <li>
 Team management experience would be preferred
 
 
 </li>
 </ul>
 
 What Sets Us Apart
 
 
 
 <ul>
 <li>
 Energetic &amp; international work environment
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 <li>
 Young, enthusiastic and highly collaborative teammates. Learn from and work with some of brightest minds in the banking lending, credit risk and marketing analytics space - both in India &amp; International
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 Fabulous opportunity to work with some of our largest blue-chip customers
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 Chance to use cutting-edge statistical/modelling tools across literally hundreds of data assets
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 Offices located in the center of Bangalore &amp; Mumbai
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 Opportunity to make an impact in the fastest growing Data &amp; Analytics led Bureau
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 <li>
 Equifax D&amp;A University: skill lab, group &amp; individual learning
 </li>
 </ul>
</div>

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