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Skills:

Data Analysis, Finance, Salesforce

Job type:

Full-time

• Refine and enhance sales processes, leveraging your expertise for maximum operational efficiency.
• Dive deep into data analysis to unearth strategic insights that inform our sales direction.
• Provide forecasting that drives precision in planning and resource utilisation.
• Align and execute sales strategies in tight collaboration with sales leadership.
• Ensure optimal usage and maintenance of sales tools and CRM systems, with a keen eye on performance metrics.
• Build strong ties across functions, uniting marketing, finance, and more for company-wide synergy in achieving business goals.
• The experience we're looking for.
• Demonstrated capability in sales operations, backed by a proven track record of driving results.
• Analytical prowess, especially with tools designed for data dissection and interpretation.
• Experienced in crafting and executing comprehensive sales strategies.
• Exceptional communicator, capable of educating and collaborating with stakeholders at all levels.
• Well-versed in the practicalities of CRM and sales technology solutions, Salesforce knowledge being a significant plus.
• Adept in leadership, with the capacity to nurture and manage a team dedicated to sales operations.
• The skills for success.
• Drive Innovation, Analytical skills, Consumer Insights, Presentation skills, Product sustainability, Category Strategy, NEW Product Development, Brand Strategy.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
• We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
• All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Skills:

Compliance

Job type:

Full-time

• Serve as a leading figure within the Medical Sciences team, actively contributing to our cross-functional project successes.
• Balance commercial insights with scientific rigour to drive the business forward while upholding compliance.
• Establish key external partnerships that reinforce our category initiatives and help navigate product classification strategies.
• Interpret data thoughtfully to provide meaningful insights, encouraging innovative solutions that resonate with our consumers.
• Guide our claim development and defence, setting the bar high for industry standards.
• Embody change leadership and champion continuous improvement across medical affairs to enhance our practises.
• The experience we're looking for.
• Skilled at interpreting scientific and clinical data, with a knack for detail-oriented document preparation.
• Adept at developing strategic partnerships and engaging with industry bodies.
• Forward-thinking in compliance and regulation, with a strong understanding of its business impact.
• Capable of managing relationships and leading through change, with an eye on consumer insights and creative direction.
• Open to adopting new technologies and challenging the conventional to foster improvement.
• The skills for success.
• Task Execution Under Pressure, Makes strategic Business Decisions, Business Acumen, Commercial Awareness, Objective Setting, Accountability, Consumer Insight, Creative Direction, R&D, Change Leadership, Product Lifecycle Management, Intellectual Property, Business Partnership, Collaboration and partnership building, Relationship Management, Adapt to changes in technological development plans, Ability to challenge the status quo and propose improvement, Innovation Processes, Digital transformation for R&D, Quality and Manufacturing.
• What we offer.
• With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
• We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
• Equality.
• We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
• All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

Experience:

3 years required

Skills:

Biology

Job type:

Full-time

• Visit targeted doctors in Clinics and present the brand's products to increase prescriptions and develop a global approach to the patient (พบแพทย์คลินิก นำเสนอผลิตภัณฑ์ในการเพิ่มการสั่งจ่ายยาเพื่อให้ตรงความต้องการของผู้ถูกรักษา).
• Promote the brands' added value by emphasizing the technical and scientific characteristics of the products (โปรโมทแบรนด์และผลิตภัณฑ์โดยสามารถวิเคราะห์ลักษณะของผลิตภัณฑ์ได้อย่างลึกซึ้งและชัดเจน).
• Respect target coverage, visit frequency and product cycles to make systematic use o ...
• Prepare visits and carry out qualitative and quantitative activity reporting (กิจกรรมต่าง ๆ ของการสนับสนุนทางการแพทย์ รวมถึงการทำรายงาน).
• You HaveBachelor degree in Science, Pharmacy, Nursing, Biology or any related field (จบการศึกษาปริญญาตรี สายวิทยาศาสตร์, เภสัช พยาบาลหรือที่เกี่ยวข้อง).
• At least 3 years of experiences as Medical Representative (มีประสบการณ์ในการขายยา, เวชสำอางค์, อย่างน้อย 3 ปี).
• Sales driven and love challenges (ชอบความท้าทายในการเพิ่มยอดขาย).
• Good attitude and open to learn & develop itself (ทัศนคติดี พร้อมเรียนรู้และพัฒนาตนเอง).
• Why us?
• We will support you through a tailor-made learning & development journey where you will receive constant career advice to empower you to navigate through and reach the Senior Leadership role of your dreams. Progressive leadership track - opportunities for growth & development.

Skills:

English

Job type:

Internship

• Implement Medical Visit Strategy: Visits targeted doctors in the sector and presents the brand's products. Added value by emphasizing the technical and scientific characteristics of the products and services.
• Follow the Medical Communication Plan by doctor specialty: Uses all available digital and physical communication channels and communication material to increase message frequency and enhance customization.
• Get to know the environment, the pathologies, the products, and the useful communica ...
• You Will LearnBasic science: Skin pathology/ Dermocosmetics/ Product information and scientific study.
• Basic skill: Doctor Centricity Approach & Doctor Adoption/ Detailing skill/ Product presentation skill and practice.
• Tools: HCP CRM Tools (VEEVA)/ Omnichannel Communication Material/ Territory planning and analysis.
• Your Internship Roadmaps:Month 1: Learning basic science, basic skill, and tools in classroom and in field by shadowing Medical Representatives.
• Month 2: Use the communication techniques during the Medical Detailing, Product Presentation, and gets to know the environment.
• Month 3: Special project- Support product listing/ Doctor survey/ Key learning summary and presentation.
• You Have6th Year undergraduate student in Pharmaceutical Science.
• Minimum of 2 clerkships required (3 months) to join this internship program.
• Self-driven and good team playing with a can-do attitude.
• Good analytical and negotiating skills.
• Intermediate level of English proficiency.
• Why us?
• We will support you through a tailor-made learning & development journey where you will receive constant career advice to empower you to navigate through and reach the Senior Leadership role of your dreams. Progressive leadership track - opportunities for growth & development.

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Experience:

5 years required

Skills:

Statistics, Finance, Risk Management

Job type:

Full-time

• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.
• Educational.
• Bachelor s degree (or equivalent) degree in a quantitative field such as Data Science, Actuarial Science, Statistics, or Mathematics.
• 5+ years of related practical experience, preferably in commercial insurance sector.
• Solid understanding of insurance pricing principles, loss reserving, and risk assessment methodologies.
• Familiarity with insurance industry regulations, standards, and best practices.
• Develop and maintain loss cost models using GLMs and other advanced statistical techniques, incorporating relevant variables and factors for accurate pricing and risk assessment.
• Analyse historical insurance data to identify patterns and trends, and determine the impact of various factors on loss costs.
• Collaborate with underwriting, claims, and finance teams to understand business needs and provide data-driven insights for portfolio management.
• Conduct rate level reviews to ensure appropriate pricing of insurance products, considering risk exposure, market dynamics, and profitability goals.
• Enhance loss cost models over time by incorporating new data sources, refining variables,.
• and exploring innovative modelling techniques.
• Evaluate the impact of pricing strategies, policy changes, and market shifts on portfolio performance, and make recommendations for adjustments, if needed.
• Present findings and recommendations to stakeholders, including senior management and underwriting teams, in clear and concise reports.
• Work closely with other departments including Underwriting, Actuarial, and Risk Management, providing them with the data and insights needed to make evidence-based decisions.
• Functional Competency.
• Excellent analytical and problem-solving skills, with the ability to translate data into meaningful insights and recommendations.
• Strong communication skills to effectively convey complex findings and recommendations to both technical and non-technical stakeholders.
• Attention to detail and ability to work independently, managing multiple projects and deadlines efficiently.
• Strong proficiency in statistical modeling techniques, specifically GLMs, and experience with software tools like R, SAS, or Python.
• Proficiency with data analysis and visualisation tools and platforms, preferably Qliksense, Power BI, Alteryx, etc.

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

Experience:

8 years required

Skills:

Product Development, GMP, English

Job type:

Full-time

• Deliver a compliant Thailand Healthcare business.
• Collaborate with Thailand leadership team on broad business & organization matters.
• Lead local registration strategy and planning for base business & new product development to support business objectives and deliver timely approvals.
• Build and maintain robust network with regulatory authorities. Engage them in timely manner to ensure smooth approvals.
• To ensure a robust submission dossier meeting the most current requirements is prepared in a timely manner.
• Manage internal & external approval process of new pack materials, POSM and advertisement materials.
• Ensure all relevant regulatory systems and databases are maintained up to date.
• Actively participate in cross functional meetings or coordination meetings for projects regionally and globally.
• To stay updated with the upcoming changes in regulatory legislation and guidelines and define impact to business.
• Negotiate and take a lead in driving long term external advocacy in partnership with Government Relations and relevant industry associations.
• Job Qualifications.
• Graduate with degree (Bachelors/Masters) in Pharmacy. Registered pharmacist is required.
• Having minimum 8 years experience in regulatory associated with Consumer Health products. Extended experience and knowledge with focus on OTC medicines and health supplements will be advantageous.
• Demonstrated experience dealing with and influencing related government agencies, i.e.: Thai FDA towards successful regulatory outcomes.
• Knowledge and experience in GMP, GDP regulations will be an advantage.
• Communication Skills - Able to clearly present information to non-technical leadership teams through the spoken word. Able to write and speak clearly and effectively in English to the team.
• Decision Making & Problem Solving - Able to take action in solving problems while exhibiting judgement and a realistic understanding of issues, able to use reason, even when dealing with emotional topics.
• Policy and Procedures - Able to relate to routine operations in a manner that is consistent with established policies and procedures.
• Analytical Skills - Able to use a systematic approach in solving problems through analysis of problem and evaluation of alternate solutions.
• Proficient in English- both written and oral.
• Proficient in Computer systems.
• Job Schedule.
• Full time
• Job Number.
• R000118013
• Job Segmentation.
• Experienced Professionals (Job Segmentation)

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Automation

Job type:

Full-time

• Lead cross-functional projects using data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics to support key business decisions.
• Examine, interpret and report results of analytical initiatives to management, product, marketing and sales team.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.