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clinical data scientist Jobs in Mangaluru

clinical data scientist

data science specialist

Blue Yonder

<div>
 
 Overview
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams.
 
 
 </li>
 </ul>
 
 Scope
 
 
 
 <ul>
 <li>
 Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis.
 </li>
 <li>
 Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line.
 
 
 </li>
 </ul>
 
 Our Current Technical Environment
 
 
 
 Software: Python 3.*
 
 
 Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Apache Spark, Kubeflow , Kubernetes, Kafka, Pub/Sub, and Flask.
 
 
 Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture.
 
 
 Cloud: Azure/GCP
 
 
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science or related fields; graduate degree preferred.
 </li>
 <li>
 Solid understanding of data science and deep learning foundations.
 </li>
 <li>
 Proficient in Python programming with a solid understanding of data structures.
 </li>
 <li>
 Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, PyTorch, TensorFlow, Jupyter, Matplotlib etc.
 </li>
 <li>
 Expertise in any database query language, SQL preferred.
 </li>
 <li>
 Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc.
 </li>
 <li>
 Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform).
 </li>
 <li>
 Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc.
 </li>
 <li>
 Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc.
 </li>
 <li>
 Provable experience guiding junior data scientists in official or unofficial setting.
 </li>
 <li>
 Desired knowledge of Kafka, Redis, Cassandra, etc.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 As a Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities.
 
 
 <ul>
 <li>
 Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources.
 </li>
 <li>
 Implementing data enrichment and cleansing routines
 </li>
 <li>
 Implementing features, preparing modelling data sets, feature selection, etc.
 </li>
 <li>
 Evaluating candidate models, selecting, and reporting on test performance of final one
 </li>
 <li>
 Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability.
 </li>
 <li>
 Work with product, sales and engineering teams helping shape up the final solution.
 </li>
 <li>
 Use data to understand patterns, come up with and test hypothesis; iterate.
 </li>
 <li>
 Help prepare sales materials, estimate hardware requirements, etc.
 </li>
 <li>
 Attend client meetings, online and onsite, to discuss new and current functionality
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Data Scientist (ML, Python, Pandas, NumPy, Keras, TensorFlow, Cloud)

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Mindrift

<div>
 
 
 This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
 
 
 
 
 At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
 
 
 
 What We Do
 
 
 
 The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
 
 
 
 About The Role
 
 
 
 GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you'll have the opportunity to collaborate on these projects.
 
 
 Although every project is unique, you might typically:
 
 
 <ul>
 <li>
 Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
 </li>
 <li>
 Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction
 </li>
 <li>
 Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility
 </li>
 <li>
 Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency
 </li>
 <li>
 Design end-to-end problems spanning the complete data science pipeline (data ingestion &rarr; cleaning &rarr; EDA &rarr; modeling &rarr; validation &rarr; deployment considerations)
 </li>
 <li>
 Incorporate big data processing scenarios requiring scalable computational approaches
 </li>
 <li>
 Verify solutions using Python with standard data science libraries and statistical methods
 </li>
 <li>
 Document problem statements clearly with realistic business contexts and provide verified correct answers.
 
 
 </li>
 </ul>
 
 How To Get Started
 
 
 
 Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 You hold a Master's or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
 </li>
 <li>
 You have at least 5 years of hands-on data science experience with proven business impact
 </li>
 <li>
 You have portfolio of completed projects and publications showcasing real-world problem-solving.
 </li>
 <li>
 You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
 </li>
 <li>
 You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
 </li>
 <li>
 You are proficient in SQL and database operations for data manipulation and analysis
 </li>
 <li>
 You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
 </li>
 <li>
 You have good understanding of MLOps practices and model deployment workflows
 </li>
 <li>
 You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
 </li>
 <li>
 Your level of English is advanced (C1) or above
 </li>
 <li>
 You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
 </li>
 <li>
 Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why this freelance opportunity might be a great fit for you?
 
 
 
 <ul>
 <li>
 Get paid for your expertise, with rates that can go up to $15/hour depending on your skills, experience, and project needs
 </li>
 <li>
 Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
 </li>
 <li>
 Work on advanced AI projects and gain valuable experience that enhances your portfolio
 </li>
 <li>
 Influence how future AI models understand and communicate in your field of expertise
 </li>
 </ul>
</div>

Freelance Computational Data Science Expert (Python & SQL)

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 Build and implement technology and solutions using data science particularly in the area of detection of content issues. Domain knowledge in any of Fixed Income. Corporate Actions, Deals and Lipper content sets would be a bonus in order to address problem areas.
 
 
 
 Role Responsibilities &amp; Key Accountabilities:
 
 
 
 <ul>
 <li>
 Use data science to identify problem areas in realtime with triggers generated to production teams for investigation. Use trend analysis and pattern recognition on new issues volumes as well as case volumes.
 </li>
 <li>
 Support projects, demonstrate technical expertise to remove roadblocks and find creative solutions to prevent future reoccurrence.
 </li>
 <li>
 Create compelling proposals with technologists and business to drive innovation from conception to production with appropriate success metrics.
 </li>
 <li>
 Incorporates domain expertise in financial market content into the solutions. Writes highly optimised code for solutions.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Strong understanding of machine learning algorithms, model building, and evaluation
 </li>
 <li>
 Knowledge of neural networks and deep learning frameworks
 </li>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Skills in transforming and preparing data for model training
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 
 Benefits
 
 
 
 We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!
 
 
 We enhance each employee&rsquo;s potential through personal development through a wide range of learning tools both formal and informal.
 
 
 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 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

Inference Labs

<div>
 
 Job Location: Bangalore
 
 
 Job Summary:
 
 
 
 We are seeking an experienced Talent Acquisition Specialist to lead end-to-end hiring for data analytics and technology roles. The position involves sourcing top talent through innovative strategies, managing the complete recruitment lifecycle, and collaborating with hiring managers to ensure strong role alignment. The role also supports employer branding initiatives and leverages recruitment analytics to optimise hiring efficiency and quality.
 
 
 
 Key Responsibilities:
 
 
 Talent Sourcing &amp; Acquisition
 
 
 
 <ul>
 <li>
 Identify, attract, and engage candidates for roles in data analytics, data science, BI, and related fields.
 </li>
 <li>
 Utilize job boards, LinkedIn, social media, and networking events to build pipelines.
 </li>
 <li>
 Develop creative sourcing strategies to target passive candidates.
 
 
 </li>
 </ul>
 
 Recruitment Process Management
 
 
 
 <ul>
 <li>
 Manage the full recruitment cycle: job posting, screening, interviewing, and offer negotiation.
 </li>
 <li>
 Coordinate with hiring managers to understand role requirements and desired skill sets.
 </li>
 <li>
 Ensure a smooth candidate experience throughout the process.
 
 
 </li>
 </ul>
 
 Employer Branding
 
 
 
 <ul>
 <li>
 Promote the companys culture and opportunities to attract top analytics talent.
 </li>
 <li>
 Represent the organization at career fairs, industry events, and university programs.
 
 
 </li>
 </ul>
 
 Data-Driven Recruitment
 
 
 
 <ul>
 <li>
 Track recruitment metrics (time-to-fill, quality of hire, source effectiveness).
 </li>
 <li>
 Use analytics to improve hiring strategies and optimise processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Bachelors degree in Human Resources, Business Administration, or related field.
 </li>
 <li>
 Proven experience (35 years) in recruitment, preferably within data analytics, IT, or technology sectors.
 </li>
 <li>
 Strong understanding of analytics roles (Data Analyst, Data Scientist, BI Developer, ML Engineer, Data Engineer).
 </li>
 <li>
 Excellent communication, negotiation, and interpersonal skills.
 </li>
 <li>
 Ability to manage multiple requisitions in a fast-paced environment.
 </li>
 </ul>
</div>

Talent Acquisition Specialist

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Explore 592+ Data science specialist in Mangaluru this December. Find roles across top companies and apply now to boost your career.

592 data science specialist jobs IN Mangaluru

Data Scientist (ML, Python, Pandas, NumPy, Keras, TensorFlow, Cloud)

Clinical Data Scientist

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Freelance Computational Data Science Expert (Python & SQL)

Data Scientist

Talent Acquisition Specialist

Data Scientist