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Snapmint

<div>
 
 
 Job Description: Data Scientist &ndash; Credit Risk Team
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are hiring a
 
 Data Scientist
 
 to own
 
 end-to-end credit underwriting models
 
 for a high-scale
 
 fintech product
 
 . This role spans
 
 model development, real-time deployment, monitoring, and continuous improvement
 
 , directly impacting approval rates, fraud, credit losses, and GMV.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Credit Underwriting &amp; Modeling
 
 
 <ul>
 <li>
 Build and maintain
 
 credit risk models
 
 using
 
 Logistic Regression, XGBoost / LightGBM and deep learning
 
 </li>
 <li>
 Design underwriting strategies for
 
 NTC (New-to-Credit)
 
 users using alternative &amp; behavioural data
 </li>
 <li>
 Balance
 
 credit risk, fraud risk, and conversion
 
 in checkout flows
 </li>
 <li>
 Design
 
 real-time features
 
 with strict latency SLAs (&lt;100 ms):
 </li>
 <li>
 Velocity &amp; frequency features
 </li>
 <li>
 Rolling window aggregates
 </li>
 <li>
 Behavioural &amp; transactional signals
 </li>
 <li>
 Implement
 
 incremental / online feature updates
 
 (mean, std, EWMA, decay)
 </li>
 <li>
 Ensure
 
 training&ndash;serving feature parity
 
 using feature stores or custom pipelines
 </li>
 <li>
 Partner with Risk teams to define:
 </li>
 <li>
 Score cut-offs, bands, and guardrails
 </li>
 <li>
 Policy rules layered over ML models
 </li>
 </ul>
 
 
 
 
 
 Experimentation &amp; Business Impact:
 
 
 <ul>
 <li>
 Measure impact on:
 </li>
 <li>
 Approval rate
 </li>
 <li>
 FPD &amp; delinquency
 </li>
 <li>
 Portfolio loss &amp; margins
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 2&ndash;6+ years
 
 experience in
 
 Credit Risk / Lending / Cards
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python &amp; SQL
 
 </li>
 <li>
 Experience with
 
 credit bureau data
 
 (CIBIL / Experian / Equifax)
 </li>
 </ul>
 
 
 
 
 
 Location :
 
 Bangalore
 
 
 
 Working Days:
 
 Monday to Friday.
 
</div>

Data Scientist

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>

Kenvue

<div>
 
 Kenvue Is Currently Recruiting For A:
 
 
 
 Analyst, Data Science
 
 
 
 
 What We Do
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
 
 
 
 
 Who We Are
 
 
 
 
 Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 
 Role Reports To:
 
 
 
 
 Digital Solutions Manager
 
 
 
 Location:
 
 
 
 Asia Pacific, India, Karnataka, Bangalore
 
 
 
 Work Location:
 
 
 
 Hybrid
 
 
 
 
 What You Will Do
 
 
 
 
 Kenvue is currently recruiting for:
 
 
 
 Analyst, Data Science [Forecasting]
 
 
 
 This position reports to the Manager, Digital Solutions and is based at Bangalore, India.
 
 
 
 
 Who We Are
 
 
 
 
 At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson&rsquo;s and BAND-AID&reg; Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours. For more information, click here.
 
 
 
 Role reports to:
 
 Manager, Digital Solutions
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Travel %:
 
 up to 10%
 
 
 
 
 What You Will Do
 
 
 
 
 A typical day will involve collaborating with software engineers and business groups. Your work will involve utilizing Python and SQL to implement and improve upon demand forecasting algorithms, by testing model improvements, running computational experiments, and fine-tuning model parameters. Deployment of sophisticated multivariate algorithms will improve upon existing approaches and discovering new data sources to further build upon current capabilities. As a successful data scientist in demand forecasting, you would be an analytical problem solver who enjoys diving into data, is passionate about investigations and algorithms, and can credibly interact between technical teams and business partners. A key capability in the collaboration is to have users of the forecasts understand how it is built up, its expected behavior and what is and is not considered, thus building trust in the models to drive usage.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
 </li>
 <li>
 Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Solid understanding of time-series forecasting techniques
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Able to write clean and tested code that can be maintained by other software engineers
 </li>
 <li>
 Able to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Able to craft effective data pipelines to transform your analyses from offline to production systems
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
 </li>
 <li>
 Is collaborative and engages (strategic &amp; tactical. Able to influence without authority, handle complex issues and implement positive change
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
 </li>
 <li>
 2 &ndash; 3 years of total work experience as data scientist or analytical role, with at least 1 project in time series forecasting
 </li>
 <li>
 A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
 </li>
 <li>
 Hands on experience in Time Series Forecasting and Demand Planning
 </li>
 <li>
 Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
 </li>
 <li>
 Good hands-on skills in both feature engineering and hyperparameter optimization
 </li>
 <li>
 Experience producing high-quality code, tests, documentation
 </li>
 <li>
 Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization &amp; forecasting techniques, and / or deep learning methodologies
 </li>
 <li>
 Proficiency in statistical concepts and ML algorithms
 </li>
 <li>
 Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
 </li>
 <li>
 Self-motivated and a proactive problem solver who can work independently and in teams
 </li>
 <li>
 Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
 
 
 </li>
 </ul>
 
 Desired Qualifications
 
 
 
 <ul>
 <li>
 Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
 </li>
 <li>
 Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
 </li>
 <li>
 Experience in creating CI/CD pipelines for deployment using Jenkins.
 </li>
 <li>
 Experience implementing MLOPs framework along with understanding of data security
 </li>
 <li>
 Implementation on ML models
 </li>
 <li>
 Exposure to visualization packages and Azure tech stack.
 
 
 </li>
 </ul>
 
 
 What&rsquo;s In It For You
 
 
 
 
 <ul>
 <li>
 Competitive Total Rewards Package*
 </li>
 <li>
 Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!
 </li>
 <li>
 Learning &amp; Development Opportunities
 </li>
 <li>
 Employee Resource Groups
 </li>
 <li>
 This list could vary based on location/region
 </li>
 <li>
 Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.
 
 
 </li>
 </ul>
 Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability.
 
 
 If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.
</div>

Analyst, Data Science

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>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Mashreq

<div>
 We are looking for an Assistant Manager (Data Scientist) who can independently execute high‑quality Data Analytics, Data Science, and Engineering work within the AML domain. The role involves designing and developing machine learning, deep learning, graph analytics, and LLM/RAG‑based solutions to enhance AML detection, behavioral insights, and investigative intelligence. You will transform complex datasets into clear, actionable insights, and contribute to building production‑ready analytical assets that support AML operational and business decisions.
 
 You will work across AML, TM, Investigations, Technology, Cloud/Data Engineering, and Compliance teams, engaging with structured, semi‑structured, unstructured, and graph data in cloud‑native environments. The role requires strong analytical thinking, hands‑on modelling expertise, solid data engineering fundamentals, and adherence to MRM, CBUAE expectations, data governance, and internal standards.
 
 If you are passionate about applying advanced ML/GenAI techniques in a real‑world financial‑crime context and want to grow into a full‑stack data science leader, this role is an excellent opportunity.
</div>

Assistant Manager (Data Scientist) - AML D&A

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)

Explore 247+ Analytical data scientist in Mangaluru this February. Find roles across top companies and apply now to boost your career.

247 analytical data scientist jobs In Mangaluru

Data Scientist

Data Scientist

Analyst, Data Science

Data Scientist

Data Scientist-Advanced Analytics

Assistant Manager (Data Scientist) - AML D&A

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