data scientist

data analyst

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applied ai scientist

assc manager data science analytics

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Role Overview
 
 
 
 We are looking for an experienced
 
 Data Scientist (Analytics)
 
 who can combine strong analytical thinking with hands-on data science and product-building skills. You&rsquo;ll own end-to-end problem-solving &mdash; from understanding business challenges, designing analytical frameworks, building scalable data products and models, and communicating insights that drive business action.
 
 
 This role is ideal for someone who enjoys working across analytics, data engineering, and machine learning &mdash; and who thrives in a fast-paced, collaborative environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 End-to-End Data Product Development: Design and develop scalable data products and tools that enable business and product teams to make better, faster decisions. This includes building data pipelines, modeling layers, and intuitive front-end dashboards or interfaces.
 </li>
 <li>
 Advanced Analytics &amp; Modeling: Apply statistical and machine learning techniques (e.g., seller churn prediction, propensity modeling, segmentation, and targeting) to solve core business problems.
 </li>
 <li>
 AI &amp; Automation: Leverage emerging AI technologies (e.g., agentic AI systems) to enhance analytics workflows and automate insights generation.
 </li>
 <li>
 Strategic Insights &amp; Storytelling: Translate complex analytical findings into crisp, actionable insights for senior executives and product leaders. Create compelling narratives that influence business strategy.
 </li>
 <li>
 Cross-functional Collaboration: Partner with global analytics, product, and business teams across US and EU markets to define success metrics, measure performance, and prioritize high-impact initiatives.
 </li>
 <li>
 Planning &amp; Execution: Manage multiple priorities and stakeholders, ensuring timely delivery and clear communication of progress, tradeoffs, and outcomes.
 
 
 
 </li>
 </ul>
 
 Required Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in data science, analytics, or data product roles
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Hands-on experience with Tableau or other visualization tools
 </li>
 <li>
 Proven experience with machine learning, statistical modeling, and data-driven experimentation
 </li>
 <li>
 Strong background in handling large, complex datasets and building scalable data pipelines
 </li>
 <li>
 Exceptional problem-solving and analytical thinking skills &mdash; able to break down ambiguity into structured frameworks
 </li>
 <li>
 Excellent communication and storytelling skills &mdash; ability to influence senior stakeholders through clear and compelling narratives
 </li>
 <li>
 Strong project planning, prioritization, and execution capabilities
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/LLM-based analytics or automation solutions
 </li>
 <li>
 Familiarity with modern data stack tools (e.g., Snowflake, Airflow, dbt)
 </li>
 <li>
 Prior experience in e-commerce, marketplace, or retail analytics domains
 </li>
 <li>
 Exposure to data product management or working in cross-functional product teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Assc. Manager, Data Science Analytics

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

Lowe's Companies, Inc.

<div>
 
 
 
 About Lowe's
 
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
 
 
 
 
 
 
 
 About Lowe's India
 
 
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India_lowes.co.in
 
 
 
 
 
 
 
 About the Team
 
 
 
 
 The Enterprise SEO Team ensures that Lowe&rsquo;s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, metadata, and technical elements while conducting ongoing competitive analysis.
 
 
 Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 The Senior Manager, SEO is responsible for building the enterprise-wide foundation for how we do SEO, AEO and GEO. This role will focus on
 
 SEO excellence
 
 and will not be required to manage day-to-day SEO operations and execution, The Sr. Manager will define the standards, governance frameworks, SOPs, measurement models, and experimentation programs that enable cross-functional teams across the organization to build SEO best practices into their organizational processes and execute high-quality, consistent and scalable SEO.
 
 
 
 
 
 He/She will establish and lead the SEO/AEO/GEO center of excellence, creating governance frameworks for all aspects of SEO, playbooks for ensuing upstream hygiene, and lead SEO education and evangelism across Product, Technology, Marketing, Content, UX, and Operations. In parallel, this leader will build a robust analytics and experimentation program that elevates how we measure organic performance, run SEO experiments, and convert insights into action.
 
 
 
 
 
 He/She will partner closely with the SEO Operations Lead, Product and Tech teams (including data, experimentation, and AI/ML partners) to ensure that SEO is embedded into roadmaps, platforms, and decision-making across the digital ecosystem.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 Define and maintain enterprise-wide SEO, AEO and GEO governance frameworks, including guiding principles, standards, and decision-rights (RACI) across technical, content, and off-page SEO.
 </li>
 <li>
 Create and own SEO playbooks by function (e.g., Product, Content, UX, Engineering, Merchandising) to codify best practices, do/don&rsquo;t guidelines, and checklists for execution teams.
 </li>
 <li>
 Establish and lead a Center of Enablement (CoE) for SEO, including office hours, consults, documentation, templates, and self-service tools that help teams execute consistently at scale.
 </li>
 <li>
 Develop frameworks and standards for Answer Engine Optimization (AEO) and Generative/AI-driven experiences (GEO), including structured data, entity optimization, and AI-overview visibility.
 </li>
 <li>
 Partner with the SEO operations lead to ensure governance is practical, adoptable, and embedded into workflows, product requirements, content briefs, and QA processes.
 </li>
 <li>
 Collaborate with Product &amp; Engineering to embed SEO requirements and quality gates into platform roadmaps, release processes, and tooling (e.g., CMS, design systems, experimentation platforms).
 </li>
 <li>
 Monitor compliance with SEO governance through periodic audits and dashboards, and drive corrective actions in partnership with stakeholders.
 </li>
 <li>
 Build and lead the SEO experimentation program, including test strategy, governance, and operating model (from hypothesis generation to execution and readouts).
 </li>
 <li>
 Define experimentation standards and best practices for SEO tests (e.g., holdouts, page-level versus template-level experiments, guardrails, minimum detectable effects).
 </li>
 <li>
 Maintain a prioritized experiment backlog in partnership with SEO operations, Product, Tech, and Content teams, aligned with business goals and growth opportunities.
 </li>
 <li>
 Partner with Analytics/Data Science and Experimentation teams to ensure SEO experiments are statistically sound, properly instrumented, and correctly interpreted.
 </li>
 <li>
 Create clear storytelling around experiment outcomes (wins, neutral, and losses) and feed learnings into playbooks, governance updates, and future roadmap decisions.
 </li>
 <li>
 Act as a strategic thought partner to SEO leadership and Digital leadership on the long-term vision for SEO, AEO, and GEO.
 </li>
 <li>
 Influence senior stakeholders across Product, Tech, Marketing, Merchandising, and Operations to adopt SEO best practices and invest in SEO-enabling capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Years of Experience:
 
 
 
 
 
 
 <ul>
 <li>
 8+ years of experience in SEO / Organic Growth in a digital, e-commerce, or product-led environment.
 </li>
 <li>
 3+ years of experience in a senior/lead role focused on enterprise SEO strategy, governance, or analytics/experimentation.
 </li>
 <li>
 Prior experience working in complex, matrixed organizations with multiple stakeholder groups (e.g., Product, Tech, Marketing, Content, UX).
 </li>
 <li>
 Work experience in a large multinational E-commerce organization will be preferred, though not mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Education Qualification &amp; Certifications (optional)
 
 
 
 
 
 
 Required Minimum Qualifications
 
 
 
 :
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Digital Marketing, Business Analytics, Computer Science,
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 MBA or equivalent advanced degree.
 </li>
 <li>
 Certifications in Web Analytics, Experimentation (e.g., A/B testing), or Data/Business Analytics.
 </li>
 <li>
 SEO-related certifications (e.g., analytics, tag management, or recognized SEO/analytics platforms).
 </li>
 </ul>
 
 
 
 
 
 
 Skill Set Required
 
 
 
 <ul>
 <li>
 Deep expertise across key pillars of SEO (technical, content, on-page, information architecture, and internal linking), with strong familiarity with AEO and emerging GEO/AI search experiences.
 </li>
 <li>
 Proven experience designing and implementing SEO governance frameworks, standards, and playbooks at enterprise scale.
 </li>
 <li>
 Strong background in SEO analytics and reporting, including hands-on experience with web analytics (e.g., GA4 / Adobe), SEO tools (e.g., Search Console, enterprise SEO platforms), and data visualization tools.
 </li>
 <li>
 Demonstrated experience running SEO experimentation and A/B tests, including test design, interpretation, and rollout of learnings.
 </li>
 <li>
 Strong analytical and problem-solving skills; ability to translate data into clear narratives and practical recommendations.
 </li>
 <li>
 Demonstrated ability to define and track metrics and goals in ambiguous environments with multiple stakeholders.
 </li>
 <li>
 Excellent communication skills (verbal, written, and presentation) with the ability to simplify complex SEO concepts for non-technical audiences and senior leadership.
 </li>
 <li>
 Proven ability to collaborate effectively across functions and influence without direct authority.
 </li>
 <li>
 Highly proficient with MS Office Suite (Word, Excel, PowerPoint, and Outlook)
 </li>
 <li>
 Passion for leveraging scaleable technologies such as machine learning and Generative AI.
 </li>
 <li>
 Prior experience in e-commerce or high-scale digital products.
 </li>
 </ul>
 
 
 
 
 
 
 Secondary Skills (desired)
 
 
 
 <ul>
 <li>
 Experience with SQL or data querying and comfort working with large datasets.
 </li>
 <li>
 Familiarity with experimentation platforms and methodologies.
 </li>
 <li>
 Exposure to AI/ML-driven search or content experiences, including schema/structured data, knowledge graphs, and generative AI integration.
 </li>
 <li>
 Passion for building repeatable, scalable systems, and for enabling others through education, tools, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Lowe&rsquo;s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe&rsquo;s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act&rsquo;s privacy provisions.
 
 
 
 
</div>

Senior Manager - SEO

<div>
 
 HP
 
 is the world&rsquo;s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
 
 
 This is an opportunity to join HP Inc team responsible for Statistical Forecasting &amp; analytics for Personal Systems (Worldwide: Americas, Europe &amp; Asia. The team works closely with various business units, regions, functions across multiple domains and design and
 
 develop Tools/solutions for Business problems
 
 .
 
 
 
 If You Are Our Data Scientist In India
 
 
 
 <ul>
 <li>
 We are looking for a Full-Stack Data Science professional to join our growing Personal Systems- Statistical Forecasting &amp; analytics COE team. In this role, you will work closely with senior data scientists and SMEs to build, enhance, and maintain scalable ML based web applications/solutions in Demand Planning and Supply chain domain.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 2 to 6 Years of total experience .
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience)
 </li>
 <li>
 Basic understanding of Machine Learning / AI Agents concepts and Statistics.
 </li>
 <li>
 Basic understanding of HTML, CSS, and JavaScript.
 </li>
 <li>
 Familiarity with at least one front-end framework such as React or Angular.
 </li>
 <li>
 Basic knowledge of a backend language such as Java, Node.js, Python.
 </li>
 <li>
 Visualization skills: Power BI/Tableau would be preferable.
 </li>
 <li>
 Database: MS SQL/Oracle SQL
 </li>
 <li>
 Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage
 </li>
 <li>
 Ability to design analytics solutions, simulation, modelling to address business problems.
 
 
 </li>
 </ul>
 
 Are you a high- performer? We are looking for an individual with.
 
 
 
 Sustainable impact is HP&rsquo;s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision &ndash; to create technology that makes life better for everyone, everywhere.
 
 
 HP is a Human Capital Partner &ndash; we commit to human capital development and adopting progressive workplace practices in India.
 
 
</div>

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>

NatWest Group

<div>
 Join our digital revolution in NatWest Digital X
 
 
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 
 
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 
 
 
 Job Description
 
 
 
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 
 
 This role is based in India and as such all normal working days must be carried out in India.
 
 
 Join us as a Data Scientist
 
 
 <ul>
 <li>
 You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
 </li>
 <li>
 We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
 </li>
 <li>
 This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
 </li>
 <li>
 We're offering this role at associate level
 
 
 
 </li>
 </ul>
 What you'll do
 
 
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 
 
 You&rsquo;ll also be:
 
 
 <ul>
 <li>
 Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
 </li>
 <li>
 Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
 </li>
 <li>
 Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
 </li>
 <li>
 Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
 </li>
 <li>
 Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
 
 
 
 </li>
 </ul>
 The skills you'll need
 
 
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 
 
 We&rsquo;ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes
 
 
 You&rsquo;ll also demonstrate:
 
 
 <ul>
 <li>
 The ability to use data to solve business problems from hypotheses through to resolution
 </li>
 <li>
 Experience using programming language and software engineering fundamentals
 </li>
 <li>
 Experience of Cloud applications and options
 </li>
 <li>
 Experience in synthesising, translating and visualising data and insights for key stakeholders
 </li>
 <li>
 Experience of exploratory data analysis
 </li>
 <li>
 Good communication skills with the ability to proactively engage with a wide range of stakeholders
 
 
 </li>
 </ul>
</div>

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will be responsible for developing deep Retail domain understanding in at least one of the following areas &ndash;Customer Analytics, Pricing Optimization, Inventory Management, E-commerce, or Digital Transformation.
 
 
 You will collaborate with business stakeholders, engineers, and internal teams to build and implement extraordinary retail focused data products (reusable assets) and solutions, delivering them directly to the client with the utmost importance.
 
 
 You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact and guide global companies through data science solutions to transform their businesses and enhance performance across industries including E-commerce, Grocery, F&amp;B and CPG.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Masters's or PhD degree in computer science, engineering or mathematics, or equivalent experience
 </li>
 <li>
 6+ years of relevant experience with strong foundations of statistics and machine learning techniques
 </li>
 <li>
 Proven experience applying machine learning techniques to solve business problems
 </li>
 <li>
 Proven experience in translating technical methods to non-technical stakeholders
 </li>
 <li>
 Proven experience writing production-grade code (Python / Pyspark) for machine learning in a professional setting
 </li>
 <li>
 Strong understanding of analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, kedro, mlflow)
 </li>
 <li>
 Experience in any cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Familiarity with containerization technologies (Docker, Docker-compose)
 </li>
 <li>
 Experience with Git-based workflows and automation frameworks, specifically GitHub Actions and GitLab CI/CD
 </li>
 <li>
 Familiarity or hands-on experience with data visualization tools (PowerBI, Tableau, etc.)
 </li>
 </ul>
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Senior Data Scientist - Periscope

Explore 164+ Assc manager data science analytics in Mangaluru this February. Find roles across top companies and apply now to boost your career.

164 assc manager data science analytics jobs In Mangaluru

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Senior Data Scientist - Periscope