ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Scientist
Company: OCBC Indonesia
Location: Tangerang, Banten, Indonesia
Description:
A Data Scientist is a specialist in doing deep-dive analytics, with advanced-level proficiency in data analytics by applying data science methodology, creating model algorithms (Mathematics or Statistical Model), data mining technique and storytelling delivery skills.




Key Responsibilities

You will work closely with Tribe Leaders, Product Managers & Data Team in identifying potential data science solutions to improve Lending and funding portfolio‘s performance
Consolidate, verifying, analyzing, from operational data, transaction data, marketing data, and external data to develop hypotheses and building potential quick win use case or business improvement recommendation
Hand in hand with data engineering and IT team identifying potential available data, for developing the business DataMart, build the models, train the model, validate, test it and fine tuning on real world use case
In charge and comfortable in model presentation, articulating, communicating in concise, effective and clear communication during the model development towards line of business, risk team, and technical team




Minimum Qualifications

Minimum Bachelor's degree in Mathematics, Computer Science, Statistics, Engineering and related major is preferred
Minimum 4 years experience as Data Scientist at Banking, Financial Services / FinTech Company
Comfortable in scripting and strong in some of the following programming languages: R, Java, Python with experience to apply Machine Learning frameworks and libraries (TensorFlow, Keras, Spark MLlib, Sklearn, pandas, etc)
Familiar or has basic knowledge in one of data processing with statistic tools (SAS, SPSS, KNIME, Matlab, etc)
Intermediate to advanced knowledge in some of data science methodologies either classic or black box including but not limited to classical regression, neural network, association rules, sequence analysis, classification, cluster analysis, gradient boost, text mining, etc.Solid analytical and problem-solving skills to interpret, derive and create data-driven insights
Actively contribute in all aspects of ML model development: data wrangling, feature engineering, model selection / architecture, training, offline evaluation, plans A/B experimentation & roll out (production)
Passionate and/or practicing in data technologies (Big Data, ETL, visualization, AI, ML, Deep Learning, etc) and care with details, numbers, and data quality.
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Job Title: Data Scientist (Climate & Geospatial)
Company: PureFuel
Location: London Area, United Kingdom
Description:
🌍 Data Scientist – Climate & Geospatial | Financial Services | London (Hybrid)

📍 Location: London, UK

📅 Employment Type: Full-time | Hybrid




We're looking for a talented Data Scientist / Senior Data Scienctist with a passion for climate risk and geospatial data to join our clients growing analytics team in London. If you're excited about turning complex environmental datasets into actionable insights for the FS sector, we want to hear from you.




🌿 About the Role

In this role, you'll work at the intersection of climate science, geospatial analysis, and insurance risk modeling, helping their clients better understand and manage the impact of physical climate risk. You'll be building scalable models and tools that directly support underwriting, portfolio risk management, and strategic planning in a changing climate.




🔍 What You'll Do

Analyse and model climate and natural catastrophe datasets (e.g. flood, wildfire, storm, sea-level rise)
Work with large-scale geospatial data (satellite imagery, GIS layers, remote sensing)
Apply machine learning techniques to identify risk patterns and trends
Develop tools to visualise and interpret climate risk data for technical and non-technical audiences
Collaborate with insurance and reinsurance clients on climate-related risk assessments
Stay on top of the latest climate science and ESG regulations impacting the FS industry




🧠 What We're Looking For

Experience in data science, ideally in climate, geospatial, or catastrophe risk
Proficiency in Python, R, or similar, with experience using libraries E.G pandas, scikit-learn
Experience with climate models (e.g. CMIP6, ERA5) or catastrophe models is a strong plus
Degree in a quantitative field: data science, climatology, environmental science, geoinformatics, or similar




🌟 Why Join Us?

Be part of a mission-driven team tackling real-world climate challenges
Work with industry-leading datasets and tools
Flexible hybrid work model (central London office)
Competitive salary, bonus, and benefits package
Career growth opportunities in a rapidly expanding area of climate risk analytics

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Job Title: Data Scientist Jr.
Company: Kantar
Location: Mexico City, Mexico
Description:
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.

To start a career that is out of the ordinary, please apply...

Job Details

Location

Ciudad de México, Avenida Insurgentes SurMexico

Kantar Rewards Statement

At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.

We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
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Job Title: Data Scientist
Company: Largeton Group
Location: Sunnyvale, CA
Description:
Data Scientist - Sunnyvale, CA **URGENT NEED**

Hybrid - Sunnyvale, CA and Hoboken, NJ - local

Looking for a new Data Scientist for Breeze's team.

Must have

retail exp.

MMM,SQL, PYTHON

Education- PHD.
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Job Title: Cientista de Dados - Estágio
Company: SMi Engineering
Location: Santo André, São Paulo, Brazil
Description:
Como Estagiário de Cientista de Dados, você terá a oportunidade de aprender e desenvolver habilidades práticas em análise de dados, machine learning e visualização, enquanto apoia a equipe na execução de projetos. Este estágio oferece um ambiente dinâmico e colaborativo, onde você poderá aprimorar seus conhecimentos técnicos e ganhar experiência no mundo real da ciência de dados.

Requisitos:


Cursando a partir do 6º semestre da graduação em Estatística, Ciência da Computação, Engenharia de dados ou áreas correlatas.
Inglês intermediário.
Disposição para Aprender: Interesse em ciência de dados, análise estatística e machine learning.
Conhecimento básico/introdutório em linguagens como Python e/ou R.
Familiaridade com SQL.
Conhecimento básico/introdutório em estatística.
Noções básicas sobre construção de algoritmos.
Noções sobre ética/privacidade de dados e regulamentações.


Atividades:


Suporte nos processos de coleta, organização e limpeza de dados para análise.
Auxiliar na construção e manutenção de dashboards e relatórios.
Apoiar na implementação de modelos básicos de machine learning sob orientação.
Suporte na documentação de processos e metodologias utilizadas nas análises.
Participar de reuniões e discussões técnicas com a equipe.
Contribuir na automação de processos simples relacionados a dados, sob supervisão.
Pesquisar novas ferramentas e técnicas para apoiar projetos da equipe.


Queremos um time diverso e inovador! Incentivamos mulheres e grupos minoritários a se inscreverem no nosso processo seletivo de estágio. Sua visão e talento fazem a diferença!

ATENÇÃO!

Por uma questão de segurança das informações cultuada em nossa empresa, todos os contatos e e-mails recebidos referentes a inscrição em vagas são apagados e não considerados para nenhum efeito à vaga. Ou seja, todo o processo é realizado somente no sistema Sólides. Assim, conseguimos processar suas informações corretamente e com segurança.
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Job Title: Machine Learning Engineer
Company: Capgemini
Location: Greater Bengaluru Area
Description:
• Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face.

• Knowledge of neural network architectures, particularly in areas like Transformers and basic deep learning models.

• Familiarity with Python programming and essential ML libraries (NumPy, Pandas, Scikit-learn).

• Exposure to NLP (Natural Language Processing) concepts and basic text processing tasks.

• Some experience with cloud platforms (AWS, GCP, or Azure) for deploying simple AI models.

• Understanding of basic databases and their integration with AI systems (NoSQL or SQL databases).

Soft Skills:

• Strong eagerness to learn and adapt to new technologies in the AI and machine learning field.

• Ability to work under guidance and collaborate within a team environment.

• Good problem-solving abilities and analytical thinking.

• Effective communication skills to discuss technical issues and progress with the team.

Education and Experience:

• Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related fields.

• 2-4 years of experience in machine learning, AI, or related areas (internships or academic projects are a plus).

Preferred Skills (Nice-to-Have):

• Exposure to basic machine learning deployment tools or practices.

• Familiarity with any vector databases (ChromaDB, Pinecone, Weaviate, Milvus, FAISS) or graph databases (Neo4j, TigerGraph).

• Interest in generative AI or graph-based AI solutions.

• Involvement in open-source projects or personal contributions to machine learning communities.

• Understanding of ethical AI principles or data privacy basics.

Role Summary: As a Junior Machine Learning Developer, you will be part of a dynamic team working on cutting-edge AI and machine learning solutions. This role offers an exciting opportunity for a motivated individual to learn and grow their skills in a fast-paced, collaborative environment. You will assist senior developers in developing, testing, and deploying AI models, while gaining hands-on experience with machine learning frameworks and real-world AI applications.

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Job Title: Data Scientist (Entry Level)
Company: Network Recruitment
Location: City of Johannesburg, Gauteng, South Africa
Description:
Are you passionate about turning data into insights that drive real business decisions? We're partnering with a forward-thinking audit and advisory firm that’s looking to bring on an ambitious entry-level Data Scientist to support their growing data and analytics team.




This is a fantastic opportunity to work alongside seasoned auditors, risk experts, and consultants — and to see how data can transform everything from compliance to strategy.




What you’ll be doing:

📊 Building and maintaining data models to support audit and advisory engagements

📈 Using tools like Python, SQL, Power BI, or Tableau to develop dashboards and visualisations

🔍 Conducting data wrangling, cleaning, and analysis to uncover patterns and anomalies

🤝 Collaborating with audit teams to embed data-driven thinking into projects

📚 Learning fast, thinking critically, and contributing fresh ideas




What we’re looking for:

✅ A degree in Data Science, Computer Science, Statistics, or a related field

✅ Exposure to Python, R, SQL, and/or data visualisation tools (Power BI, Tableau, etc.)

✅ A curious mindset and a desire to solve problems with data

✅ Strong communication skills – you're not afraid to explain your findings in plain English

✅ A team player who’s eager to learn and grow in a consulting environment




Why join this firm?

You'll be part of a growing, innovation-focused team in a firm that values fresh perspectives. Expect hands-on learning, mentorship from experienced professionals, and the chance to work on diverse projects that really make an impact.

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Job Title: Data Scientist
Company: Immersum
Location: London Area, United Kingdom
Description:
Job Title: Data Scientist

Salary: £60,000-£67,500 + Benefits

Location: West London - Hybrid (3 days p/w in-office)

Tech: AWS, Snowflake, Airflow, DBT




The Company:

Immersum are supporting the growth leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science with powerful location intelligence, they help major organisations make smarter, faster decisions. Backed by top-tier investors and growing fast, this is your chance to shape the future of PropTech from the inside.




The Role Requirements:

As a Data Scientist, you’ll develop, deploy, and optimise data science solutions that sit at the heart of the company’s product offerings. You’ll play a critical role in shaping how data-driven insights fuel smarter decisions across the business.




What you’ll be doing:

Spotting opportunities to apply data science and ML to solve meaningful product challenges
Designing and building data pipelines to support experimentation and model development
Running structured experiments and analysing performance metrics to validate outcomes
Deploying and maintaining models in production and delivering clear business impact
Collaborating closely with product, engineering, and business stakeholders




What you’ll bring:

Hands-on experience developing and productionising ML models
Strong analytical background with applied stats, EDA, and model validation techniques
Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT)
Curiosity for emerging techniques and an eagerness to learn and innovate
Excellent communication skills, especially when simplifying complex findings for non-technical teams




Why Join:

Join a mission-led company building truly differentiated data products
Work on greenfield projects and shape how data science is done across the business
Collaborate with a team that genuinely values experimentation, insight, and product thinking
Fast-growing, well-funded environment with real autonomy and influence

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Job Title: Machine Learning Engineer
Company: Infosys
Location: Bengaluru, Karnataka, India
Description:
Job Description




Responsibilities




• Responsible for ensuring that ML models and pipelines are deployed successfully into




production




• Implementation of ML features for new and existing systems




• Deploy applications to AWS cloud leveraging on the full spectrum of the AWS cloud




services




• Automate model training, testing and deployment using CI/CD




• Understand and implement metrics to verify effectiveness and soundness of the ML




model




Requirements




Minimum requirements




• Formal training in a quantitative discipline (e.g., statistics, operations research,




economics, computer science, mathematics)




• 5 years of relevant work experience in data analysis, data science or related fields,




with deep expertise in statistical data analysis




• Experience with Python and related ML libraries (eg. Pandas, Pytorch)




• Experience with database languages (e.g. SQL)




• Experience working in a multi-disciplinary team of data scientists, software




engineers, product managers and subject domain experts




• Experience in Agile working environment




Preferred requirements




• Experience with AWS cloud services like AWS Textract and Comprehend is




preferred




• Experience with Dagster/Airflow is preferred




• Experience in MLOps




• Experience in delivering Natural language processing (NLP) products

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Job Title: Research And Development Scientist
Company: i-Pharm Consulting
Location: Slough, England, United Kingdom
Description:
🔬 R&D Scientist – Bioprocessing




📍 United Kingdom | 🕒 12-month contract | 💼 Biotechnology / Life Sciences




We’re partnering with a leading client in the biopharmaceutical industry to find an R&D Scientist to join their upstream process development team. This is a great opportunity for a recent graduate or early-career scientist looking to gain hands-on experience in mammalian cell culture and bioreactor operations.




What You’ll Do:

Set up, operate, and maintain lab-scale bioreactors (fed-batch & perfusion)
Support mammalian cell culture – CHO cells, media prep, revival, subculture
Monitor bioprocess parameters and ensure optimal growth conditions
Assist with data generation, documentation, and general lab upkeep




What We’re Looking For:

BSc or BEng in Life Sciences, Biotechnology, Bioprocessing, Biochemistry, or Chemical Engineering (MSc/MEng preferred)
0–2 years of experience in biotech or a lab-based R&D setting
Basic knowledge of mammalian cell culture and upstream processing




Why Join?

Work with cutting-edge tech in a collaborative lab environment
Develop your skills with an industry-leading organisation
A great step forward for your career in bioprocess development




🎯 Sound like you? Apply now or get in touch to learn more!

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Job Title: Machine Learning Engineer
Company: Jex - Recruitment for scaling businesses
Location: Dubai, United Arab Emirates
Description:
Machine Learning Engineer







A fast-growing software house building intelligent, data-driven products that power the next generation of digital experiences.




As we expand our capabilities, we’re looking for a seasoned Machine Learning Engineer to join and help architect, build, and scale ML solutions across a variety of client and internal projects.




What You’ll Do

Design, develop, and deploy machine learning models for real-world applications
Collaborate with data scientists, product teams, and software engineers to productionize ML systems
Optimize and maintain scalable ML pipelines (training, validation, and inference)
Monitor model performance and implement continuous improvements
Translate business needs into technical solutions with measurable outcomes
Contribute to technical strategy, architecture, and mentorship within the ML team




What We’re Looking For

5+ years of professional experience in software engineering or data science roles
Minimum 3 years of hands-on experience in machine learning engineering (not just experimentation — production-level deployment and scale)
Strong Python skills and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
Experience building and deploying ML models in cloud environments (AWS, GCP, Azure)
Solid understanding of MLOps practices (versioning, reproducibility, CI/CD for ML, model monitoring)
Strong grasp of data structures, algorithms, and system design
Excellent problem-solving skills and ability to work in fast-paced, collaborative environments




Bonus Points

Experience with large language models or generative AI
Exposure to real-time inference or edge ML
Background in NLP, computer vision, or time-series modeling




30K AED P/M + Benefits

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Job Title: Data Scientist
Company: Jubilant FoodWorks Ltd.
Location: Noida, Uttar Pradesh, India
Description:
Analytics & insights function:

Our vision is to build Analytics & insight function as a strategic differentiator for the company. What do we do –

Embed analytics across the organization to help increase revenue, improve operational efficiency, enable cost optimization, improve guest & employee experience and manage risk.
Help decision-makers in the business anticipate and respond faster to emerging trends.




A lean team of data scientists, ML engineers, analysts & storytellers.

We are driven more by the commercial value of the data science than Kaggle submissions
Our first instinct to improve model performance is data quality, feature engineering & validation vs trying 3 more techniques
We have a strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
We are finicky about version control, commented codes & documentation
We want to build strong personal connections & a fun workplace




What is the purpose of this role?

Build data science capabilities that help Jubilant FoodWorks drive exponential growth
Equip business to focus attention when & where it matters through assisted / predictive decision-making




What will be your key responsibilities?

Solve business problems by applying Machine Learning / Deep Learning models on large volumes of data
Work on a full spectrum of activities from framing solutions, identifying data sources (internal & external), conducting experiments,and delivering production ready models to model management
Knowledge management (well-documented codes, code repository, project briefs, interim Excel files, presentations, research)
Proactive communication to understand the problem, work progress & results
Manage individual project priorities, deadlines, and deliverables




A little bit about you:

4-8 years of experience building scalable models in a production setting on a large volume of data
Strong data wrangling & programming skills(Python, SQL) & experience with cloud technologies, experience with Scala, Spark gives you additional points
Intermediate level understanding in any of the areas – Machine Learning, Deep Learning, experience with unstructured data is a plus
Practical knowledge of working with code repository & agile framework
Strong match with our value system & DNA
Preferred domain experience - Supply chain network optimization/forecasting/inventory management, Personalization / Customer Science
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