เงื่อนไขการค้นหา

ประเภทงาน:

งานประจำ

• พัฒนาความรู้และสร้างความตระหนักด้าน ESG ให้แก่พนักงานทุกระดับในองค์กรผ่านการจัดอบรม, สื่อสารภายในและกิจกรรมสร้างการมีส่วนร่วม.
• วางแผนและกำกับดูแลดำเนินงาน ESG ให้สอดคล้องกับกลยุทธ์องค์กร กฎหมายที่เกี่ยวข้อง และแนวทางสากล (เช่น GRI, TCFD, SDGs).
• รวบรวม วิเคราะห์ และสื่อสารผลการดำเนินงาน ESG ขององค์กร Smart Living โดยจัดทำรายงาน ESG/ Sustainability Report เพื่อนำเสนอผู้มีส่วนได้ส่วนเสีย.
• ขับเคลื่อนนวัตกรรม Waste to Value ร่วมกับหน่วยงานที่เกี้ยวข้องเพื่อเปลี่ยนแปลงของเสียให้กลายเป็นสินค้า/ทรัพยากรที่มีมูลค่าเพิ่ม.
• ประสานงานกับหน่วยงานภายในและภายนอก เพื่อส่งเสริมโครงการ ESG และดำเนินการตามแผนงานที่กำหนดไว้.
• ติดตามเทรนด์ด้าน ESG และรายงานต่อผู้บริหารเพื่อนำมาปรับใช้ในองค์กร.
• Qualifications: จบการศึกษาระดับปริญญาตรี หรือโท ในสาขาสาขาวิศวกรรมสิ่งแวดล้อม วิศวกรรมอุตสาหกรรม หรือสาขาอื่นๆที่เกี่ยวข้อง (GPA ปริญญาตรี

ทักษะ:

ETL, Python, TensorFlow

ประเภทงาน:

งานประจำ

• Develop and deploy machine learning models for demand forecasting, customer segmentation, pricing optimization, and inventory management.
• Work with large-scale datasets and implement efficient feature engineering pipelines to enhance model performance.
• Use PySpark to process and analyze large datasets in a distributed computing environment.
• Collaborate with data engineers to build scalable data pipelines and ensure data quality.
• Implement MLOps best practices for model deployment, monitoring, and retraining in production.
• Design ETL workflows for preprocessing and transforming structured and unstructured data.
• Communicate findings and recommendations to business stakeholders in a clear and actionable manner.
• Stay up to date with the latest advancements in AI, machine learning, and data engineering.
• 5+ years of experience in data science, machine learning, or applied AI.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
• Hands-on experience with PySpark for big data processing and analysis.
• Experience with SQL for querying large datasets efficiently.
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing frameworks.
• Knowledge of MLOps practices (model versioning, CI/CD for ML, monitoring, automation).
• Experience working with ETL workflows and data engineering pipelines.
• Strong understanding of statistical analysis, time-series forecasting, and clustering techniques.
• Excellent problem-solving and communication skills, with the ability to translate data insights into business value.
• Experience in the retail industry or working with e-commerce/consumer data.
• Familiarity with tools like Databricks, Airflow, MLflow, and Docker/Kubernetes.
• Experience with deep learning frameworks for NLP or computer vision.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Data Analysis, Statistics, Python

ประเภทงาน:

งานประจำ

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges..
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization..
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions..
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making..
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics..
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality..
• Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field..
• Experience: At least 2 years of experience in data science or a related field..
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities..
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

ทักษะ:

Statistics, Data Analysis, SQL

ประเภทงาน:

งานประจำ

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

ทักษะ:

Product Development, Statistics, English

ประเภทงาน:

งานประจำ

• Drive the creation of robust business intelligence systems to provide insights that inform strategic decisions.
• Develop and implement data analytics solutions that improve business processes and customer experiences.
• Ensure the accuracy, integrity, and availability of data used for business intelligence and decision-making.
• Manage the deployment of big data technologies and tools to enhance data processing capabilities.
• Lead initiatives in big data analytics, ensuring the extraction of valuable insights from large, complex datasets.
• Oversee the implementation of predictive analytics and data discovery techniques to anticipate trends and opportunities.
• Guide the development and deployment of machine learning models and AI algorithms for various business applications.
• Stay abreast of the latest advancements in machine learning, AI, and data science to ensure the company remains competitive.
• Collaborate with IT and engineering teams to integrate AI solutions into existing systems and platforms.
• Work closely with cross-functional teams, including IT, marketing, product development, and operations, to drive data-driven decision-making.
• Bachelor's degree in engineering, computer science, math, physics, statistics, or another highly quantitative field, such as machine learning, business analytics, statistics, mathematics, or a related field.
• Solid understanding and hands on experience in machine learning and data mining.
• Experience with statistical programming languages and database software.
• Good knowledge of data structure and algorithms.
• Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.

ทักษะ:

Research, Statistics, Python, English

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Big Data, Research, Statistics

ประเภทงาน:

งานประจำ

• 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.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Project Management, Python, SQL

ประเภทงาน:

งานประจำ

• Partner with stakeholders to analyze business needs, translate requirements into data science solutions, and ensure alignment with strategic goals.
• Lead end-to-end project management-from scoping and prototyping to production roll-out-ensuring models are scalable, maintainable, and deliver ROI.
• Communicate insights effectively to non-technical audiences, enabling data-driven decision-making across teams.
• Responsibilities: Collaboration with related parties for Al initiative projects to ensure alignment with strategic goals.
• Apply and rollout machine learning/ optimization model using advanced analytics and machine learning/optimization.
• Data & Al strategy and detail roadmap.
• Qualifications: Bachelor's/Master's degree in Computer Engineering, Computer Science, or related fields (Bachelor's G.P.A. > 2.70, Master's G.P.A. > 3.30).
• 3 - 6 years of working experience in Data Scientist, or related roles.
• Proficiency in Python and SQL.
• Experience in applying machine learning algorithm/optimization.
• Business domain expertise, and Process understanding.
• Mathematics and statistics including probability and statistical inference.
• Effective communication abilities.
• Innovation and willingness to explore new ideas.
• Good command in English (TOEIC score at least 550).
• Contact: Pupat แมค Wattanadumrongkul Email: [email protected]

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Applying machine learning techniques to Identify new business opportunities and process Improvement using computer vision. Machine learning projects may come from both requirements from Internal customers and initiatives from the data science team Itself a candidate may be required to work in the field occasionally if a protect is related to a process at operational level.
• Responsibilities: Develop Al initiative projects for new business/new customers/and improvement across SCGP using advanced analytics, machine learning/and optimization.
• Create a course of reccomended actions based on knowledge obtained from machine learning/ optimization.
• Follow up and refine the model by collaborating with related parties to achieve the target result.
• Qualifications: Bachelor's/Master's/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor's G.P.A. > 2.70, Master's G.P.A. > 3.30).
• Proficient in English (TOEIC score at least 550).
• Using Python, SQL to process data to draw insights from datasets (PySpark to process big data is a plus).
• Experience in one of the Deep Learning languages: Tensorflow, Pytorch, Mxnet.
• Experience in one of the computer vision, LLMs, linear programming, and machine learning.
• Experience using MLOps tools such as Kubeflow, MLFlow, or Sagemaker is a plus.
• Experience working in manufacturing and full-stack data science deployment.
• Experience in solving manufacturing problems related to operations, quality, and supply chain using Machine & Deep Learning is a plus.
• Knowledge of statistical techniques and concepts such as regression, time series analysis, statistical distribution, and statistical tests.
• Knowledge and experience in training and applying Machine & Deep Learning algorithms to solve complex problems.
• Positive attitude, Growth Mindset, Eager to learn, and Service mind.
• Able to work upcountry occasionally.
• Contact: Pupat แมค Wattanadumrongkul Email: [email protected]

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, Digital Marketing, Industry trends

ประเภทงาน:

งานประจำ

• Department: Information Technology.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Perform large-scale data analysis and develop effective statistical model for time series, segmentation, classification, pattern recognition, optimization, etc. on digital data (e.g., Web, App, Line, other media platform etc.).
• Develop, build and test statistical and computational models that serve as a key input for digital marketing tools.
• Identify actionable insights and suggest recommendation for data-driven marketing campaigns.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Interact and collaborate with product and marketing managers to provide impactful analysis and insights that align with business objectives.
• Work closely with other BI functions, data analyst and campaign operations to provide end-to-end analytical solutions and proactively create and test decision rules for digital marketing campaigns.
• Collaborate with internal teams on defining population segments to support personalized consumer experiences.
• Provide business requirements and collaborate with internal teams on data capture strategy that will support advanced analysis and insights on consumer behavior.
• Provide ongoing insight into industry trends in web & app analytics, site optimization, and customer segmentation.
• 1-3 years of experience in Data Scientist for solving analytical problems using quantitative approaches.
• Excellent understanding of fundamentals of statistics.
• Advanced in Python.
• Strong experimental design and analysis skills.
• Familiar with time series analysis, forecasting, and machine learning techniques, previous hands-on experience is a plus.
• Ability to manipulate and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Ability to communicate complex analysis in a clear, simple, and actionable manner.
• Working knowledge of SQL and relational databases and analysis tool.
• ประสบการณ์ 2 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Data Analysis, Procurement, English

ประเภทงาน:

งานประจำ

• Accountability for, but not limited to the execution of variety specific agronomy field trials/research projects facilitated at the Indochina FutureFarms and other locations, through collaboration with internal stakeholders and external vendors. These trials will span multiple disciplines including, but not limited to variety specific agronomy, disease tolerance to local pests, nitrogen optimization, microbiome, climate adaptability, Ag-Tech and soil health, for both in-season and post-harvest research focuses. Interpretation and reporting associated experimental results and make r ...
• Understand local plant patent regulations, use security planned trialing to mitigate loss of key foundational genetics that feed the entire Lays global potato breeding program- Decide.
• Be a subject matter expert in research agronomy trialling for potato across R&D categories, Office of Sustainability and Procurement.
• Work collaboratively both internally within Agricultural Science, other R&D functions, and with external suppliers and vendors to enable delivery of projects which support Walkers, Lays and Quaker through delivery against Global Ag Strategy commitments, including pep+ goals, productivity and consumer quality advantage.
• Work collaboratively with growers where we share lab facilities for the purpose of completing post harvest quality assessments for potato, including fry quality and potato storage.
• Negotiate contracts with external research collaborators, holding them to account against agreed deliverables to ensure project timelines are met.
• Develop and maintain effective working relationship with partners within R&D and with other non-R&D project stakeholders (Procurement, Office of Sustainability).
• Provide regular and timely project progress updates to key stakeholders to ensure continued alignment with business objectives.
• Provide high quality research outcomes to support and document delivery against the Global Ag Strategy, AOP and pep+ goals.
• Qualifications:Minimum MSc in Breeding Agriculture/Crop Science or equivalent, plus minimum 5 years experience in designing and executing field research projects with variety line assessment, agronomy, Ag-Tech and/or sustainable agriculture.
• The above experience must include potato, ideally for the processing/crisping industry.
• Experience in plant pathology, potato storage research would be advantageous.
• Experience in experimental design of field and lab-based experiments.
• Skilled in working with large datasets and statistical interpretation.
• Excellent communication and reporting skills.
• Demonstrated ability to lead projects to deliver specified goals.
• Innovative attitude demonstrated through past experience and track record.
• Demonstrated ability to execute projects within a project management framework.
• Demonstrated ability to explain complex scientific concepts to other scientists and to non-technical business partners.
• Ability to partner as part of a high-performing global working team.
• Experience working with, and managing, external vendors.
• Ability to design and execute field research trials in collaboration with internal partners and stakeholders to deliver statistically meaningful research that meets the aims of projects across agronomy, crop physiology, agritech and soil health disciplines.
• Proactive planning to layout trials and seed storage in a manner that is secure and protects identity of parental line genetics that are foundational for the entire global breeding program.
• Ability to balance need to deliver aggressive business innovation goals with scientific excellence.
• A proven ability to work closely with colleagues within a matrix organization to deliver complex projects with a high degree of flexibility and comfort with change.
• Partner effectively and have excellent interpersonal skills with ability to communicate and negotiate effectively across all levels and all functions of the organization.
• Utilize strong written and oral skills to provide regular reports and data summaries to project teams and department leaders.
• Strong analytical skills - ability to interpret complex data and distil into useful and actionable information.
• Good presentation skills (written & verbal) in Thai and English.
• Cultural sensitivity, with flexibility and respect for different cultures.
• Self-starter, self-motivated - very high drive for results and able to deal with uncertainty and complexity.

ทักษะ:

Python, Instrument, English

ประเภทงาน:

งานประจำ

• Implement python application to lead data structure/format to price financial instruments using both self-created libraries embedded and/or pre-defined library or Refinitiv quantitative pricing service API.
• Participate in discussion both technical and non-technical aspect with parties mainly located in Europe and India.
• Produce level of required document.
• Provide 3rd level support of application.
• Required skills and experience New graduates are also welcome.
• Good knowledge in Python programming language and application design.
• Understand concept of API (application programming interface).
• Intermediate level in spoken and written English.
• Positive and open mindset, eager to learn new technologies.
• Preferred skills, interests (not required but an advantage) Strong curiosity about financial market, trading securities and investment.
• Knowledge in statistic and calculus (e.g. partial differential equation).
• Concept of financial market and financial instrument especially derivatives.
• 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 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. 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 s used for, and how it 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• 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.