ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Junior Data Scientist
Company: Intellect Group
Location: London Area, United Kingdom
Description:
Role: Junior Data Scientist

Location: London, UK (Hybrid)

Salary: £35k-£45k (DOE)




Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability.




My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions.




Your Responsibilities:

Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions.
Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes.
Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company.
Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals.
Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders.




Requirements:

Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields.
Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling.
Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting.
Experience with data visualization tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively.
Strong analytical skills: Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences.




It's A Bonus If You Have:

Experience in finance: Prior exposure to financial data or working in a financial services environment is a plus.
Curiosity and drive: A passion for learning and staying updated with the latest trends in data science and finance.
Problem-solving mindset: Ability to think critically and approach challenges with innovative solutions.




The Benefits:

Growth opportunities: Be part of a fast-growing company with ample opportunities for career advancement.
Innovative work environment: Work with a team that values creativity, collaboration, and continuous learning.
Cutting-edge tools and technologies: Access to the latest data science tools to help you excel in your role.
Competitive compensation: A salary that reflects your skills and experience, along with performance-based bonuses.




If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.

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Job Title: Data Scientist
Company: Banco de Crédito BCP
Location: Lima, Peru
Description:
¡Únete al Equipo BCP! Sé parte de una comunidad que no conoce fronteras, con un propósito en común que nos motiva e inspira para impactar en los planes de millones de peruanos, transformándolos en realidad. ¿Quieres pertenecer a algo grande? ¡Aquí Es!




¿Qué esperamos de ti?

Apoyar en la estructuración del proyecto, principalmente en la traducción de la necesidad del negocio en un planteamiento de solución con modelos analíticos (árboles y regresiones)
Desarrollar los análisis y modelos estadísticos definidos en el alcance y entregables del proyecto.
Participar en el desarrollo y entrega de la propuesta final del proyecto.
Realizar el traspaso de las herramientas y modelos analíticos construidos en el proyecto a los clientes internos, de tal manera que éstos asimilen el conocimiento generado y lo mantengan.
Documentar la información de sustento del proyecto (técnica, metodológica y de negocio).




¿Qué buscamos?

Bachiller universitario de las carreras de Estadística, Sistemas, Matemática, Economía, Ingeniería de Información, industrial o afines a ciencias de datos.
Experiencia de 2 años como Business Analytics, Data Scientist, Consultoría - proyectos
Experiencia en equipos de estrategia de negocios - Deseable
Conocimiento en Árboles / Regresiones / Machine Learning / Estadística / modelos de Optimización lineal
Conocimiento en optimización matemática - deseable
PLSQL o SQL Base de datos - Intermedio
Python - Intermedio
Manejo de Spark - Básico
Deseable conocimiento de Azure Cloud y Databricks.




¿Qué Ofrecemos?

Ambiente empoderador: Únete a un entorno de trabajo donde tu voz importa y tus ideas impulsan el cambio.
Crecimiento profesional: Disfruta de oportunidades de desarrollo continúo, respaldadas por un equipo comprometido con tu éxito.
Compensación competitiva: Recibe una compensación atractiva y beneficios flexibles diseñados para adaptarse a tu estilo de vida y metas personales.




¿Qué beneficios disfrutarás?

Ingreso a Planilla.
Pago de Bonos por Desempeño.
Pago de Utilidades.
Oportunidades de desarrollo




Si estás listo para unirte al equipo que innova y crea soluciones, ¡postula con nosotros!







“Somos una organización comprometida con la igualdad de derechos y oportunidades. Nuestros procesos de selección se rigen bajo una política donde nuestras/os postulantes son consideradas/os sin importar su origen, género, raza o cualquier otra característica, condición o preferencia, promoviendo así una cultura de respeto mutuo”

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Job Title: Junior Data Scientist
Company: Munich Re
Location: Dubai, Dubai, United Arab Emirates
Description:
Munich Re is one of the world's leading reinsurance companies with more than 11,000 employees at over 50 locations around the globe. We are working on topics today that will concern the whole of society tomorrow, whether that be climate change, major construction projects, gene technology or space travel. We find solutions to these challenges through a network of highly qualified professionals who anticipate risks, work on tailor-made solutions and expertly advise our clients. We are looking for a Junior Data Scientist to assist the dedicated data and analytics unit with advanced statistical knowledge.







Your Role:

Develop and maintain an understanding and a sound base knowledge of life & health insurance and reinsurance and the technical requirements for appropriate data management.
Automation of data extraction, developing data pipelines and data warehouse designs
Understanding advanced analytics and identifying potential business cases for its applications
Application of statistical and machine learning (supervised and unsupervised) methods
Interpretation of model outcomes in a business context and advanced data visualizations
Work with structured databases containing data from multiple sources, at various granular levels, to deliver good-quality analytics and visualization projects
Provide underlying technical support to the actuarial team in monthly reserving data preparation, and consolidations.
Enhance internal and external stakeholder understanding of data-related issues through effective communication.
Proactively commit to stakeholders on both quality and timelines for delivery of new or modified tools.
Run effective data management and extraction workshops as required.
Be the key link between MRUA and its internal and external data platforms/partners to ensure proper knowledge of provided data structure. This will be particularly important for new platforms and during data format changes.
Develop and maintain an understanding of the full suite of internal and external data systems and structures.
Develop and maintain knowledge about required relational database tools, e.g. SQL, to extract and analyse data effectively and efficiently.







Your Profile:

Bachelor’s degree in Computer Science, Mathematics, Statistics, Actuarial Science, and/ or a comparable degree with a sound IT and mathematical background
A master’s degree in one of the mentioned subjects would be an advantage
1-3 years of experience as a working student or a data analyst preferably within the insurance/reinsurance/actuarial field.




At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us.

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Job Title: Junior Machine Learning Engineer
Company: Advansys
Location: Nasr City, Cairo, Egypt
Description:
Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.

Key responsibilities include:


Assisting in the design and implementation of machine learning models under the guidance of senior engineers
Conducting data cleaning and preprocessing to prepare datasets for training models
Supporting the evaluation and fine-tuning of machine learning algorithms
Collaborating with cross-functional teams to understand project requirements and objectives
Documenting processes, model training, and outcomes clearly and comprehensively
Staying updated with industry trends and best practices in machine learning and AI
Participating in team meetings and contributing to brainstorming sessions



Requirements


Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Basic understanding of machine learning concepts and algorithms
Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras)
Experience with data manipulation and analysis tools such as Pandas and NumPy
Strong analytical and problem-solving skills
Good communication skills and the ability to work effectively in a team environment
Enthusiasm for learning new technologies and techniques in AI/ML
Internship or project experience in machine learning or data analysis is a plus



Benefits

What We Offer:


Hands-on experience working on real-world AI/ML projects
Mentorship and guidance from experienced AI/ML professionals
Opportunity to learn and apply cutting-edge technologies
Collaborative and supportive work environment
Competitive internship compensation


This internship will be from 1 to 3 Months
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Job Title: Data Scientist
Company: Protect Group
Location: Pune, Maharashtra, India
Description:
Data Scientist

Location: Pune (Onsite, with possible options of Hybrid)

Contract: Full-time

Salary: Competitive depending on experience.




About Protect Group:

Protect Group, established in 2016, is an innovative global technology leader enhancing customer experiences and revenue opportunities for businesses through AI-driven solutions. With over 400 partners across 75+ countries, we provide an intuitive widget that seamlessly integrates with online sales platforms, dramatically improving customer satisfaction and boosting ancillary revenue.




Our culture is defined by ambition, innovation, and excellence—our Protect People embody these values, making a significant impact across sectors including travel, hospitality, transportation, events, and financial services.




Role Overview:

We are seeking a talented Data Scientist to play a central role in our global data team. You'll lead analytical initiatives, driving experimentation and optimisation in pricing strategies, significantly influencing our product insights and commercial decision-making.

You’ll leverage your expertise in advanced analytics, machine learning, and statistical modelling to derive actionable insights from complex datasets.




Key Responsibilities:

Analyse large online datasets to uncover valuable insights into consumer behaviour, price elasticity, and revenue optimisation.
Collaborate with Product, Technology, Marketing and Sales teams.
Contribute insights towards the development and refinement of predictive models used to forecast demand and optimise pricing and content.
Create clear and intuitive dashboards and visualisations to communicate insights effectively, facilitating strategic business decisions.
Act as a data analytics specialist, encouraging a culture of informed, data-driven decision-making throughout the organisation.




Required Skills & Experience:

Extensive experience conducting data analysis within relevant sectors.
Proficiency in SQL, Python, and data science libraries such as sklearn, XGBoost, and CatBoost.
Experience with Azure, MLOps, and API frameworks.
Strong understanding of statistical methods, probability theory, pricing optimisation, and elasticity modelling.
Expertise with data visualisation tools (e.g., Tableau).
Exceptional analytical and creative problem-solving skills, with meticulous attention to detail.
Excellent communication skills—capable of articulating complex analytical findings clearly and effectively.
Adaptable, innovative, and self-driven, comfortable in fast-paced, agile environments.




Why Protect Group?

Join a rapidly scaling tech company revolutionising global industries.
Lead impactful analyses that directly shape strategic decisions and commercial outcomes.
Work within a talented team dedicated to innovation and continuous improvement.




Ready to Join Us?

If you're passionate about analytics and keen to drive meaningful insights, we want to hear from you! Submit your CV today and share how you'll contribute to Protect Group’s continued success

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Job Title: Junior Data Scientist
Company: Amartha
Location: Jakarta Metropolitan Area
Description:
About The Role

As one of the prominent fintech players in Indonesia, Amartha provides financial services to underbanked women entrepreneurs in rural areas. We firmly believe that financial inclusion is key to building a sustainable economy that uplifts and supports the entire country.

We are currently seeking a Junior Data Scientist to join our team. In this role, you will apply your skills in data wrangling and advanced problem-solving to tackle real business challenges. You will collaborate with a diverse range of stakeholders, including business experts, product leaders, and tech-savvy engineers.

You'll also work alongside a team of exceptional data scientists with varied expertise, spanning data engineering, machine learning and AI engineering, data warehousing, and data analysis.

At Amartha, we value your mindset and adaptability even more than your technical prowess.

Responsibilities


Collaborate with stakeholders from business, engineering, and product teams to understand their needs and design robust data models to meet them
Develop data pipelines to transform transactional data into analytical data models
Work with business stakeholders to clarify ambiguous problems and approach them using scientific methods
Analyze risks and opportunities from raw data and distill them into actionable insights
Partner with the product team to build scalable data products for millions of users



Requirements


Bachelor's or Master's degree in engineering or a quantitative field
Experience extracting data from databases using SQL queries
Proficient in writing scripts for data analysis using Python or R, and presenting results through effective data visualizations
Ability to simplify and clearly communicate complex concepts to non-technical audiences
Strong problem-solving skills
Resilient when facing uncertainty and new challenges
Ability to think clearly under pressure
Experience implementing end-to-end machine learning solutions in production is a plus
Experience building analytical solutions that scale to millions of users is a plus


At Amartha, we are dedicated to creating a workplace that celebrates diversity, ensures equity, and fosters inclusion. We believe that diverse perspectives—shaped by factors such as gender, age, race, ethnicity, education, culture, and life experiences—drive innovation and growth.

We actively welcome individuals from all backgrounds to join us in building an environment where everyone feels respected, valued, and empowered. Our commitment is to provide equal opportunities and foster a sense of belonging that enables our employees to thrive and make meaningful contributions.
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Job Title: Machine Learning Officer - Junior
Company: Inetum
Location: Lisboa, Lisbon, Portugal
Description:
Company Description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

Job description:

Develop End To End Product Lifecycle


Develop Machine Learning (ML) and Artificial Intelligence (AI) solutions i.e., collect and label data, setup and train models, test and evaluate results
Develop, modify, and support in-house applications, working together with the data scientists and developers of the AC team
Work closely with clients during all stages of the application life cycle
Design the most adequate approaches to solve the identified problems within the company’s framework


Implement and assist the deployment and maintenance of models and software’s:


Follow industry best practices to implement and scale out the developed solutions into production grade software
Assist the operational teams with the deployment, monitoring and maintenance of the developed solutions
Contribute to disseminate a culture of data driven solutions within CIB
Maintain a strong market watch on the latest developments on methodologies, technologies and tools


Main Tasks


Develop End to End Product Lifecycle
Implement and assist the deployment and maintenance of models and software’s


Qualifications

Technical Skills:


Ability to explain the results of a model and the different elements impacting it
Statistical and quantitative analysis skills (e.g., machine learning models, statistical models, Bayesian statistics, probability theory, time series analysis
Knowledge of at least one ML development stack (e.g. scikit-learn, keras, …)
Knowledge of NLP techniques


Language Skills


Fluent English
French and Portuguese are a plus
Effective Programming skills (e.g., Python, R, Java, Go) and algorithmic knowledge.
Knowledge of databases and associated tools (SQL and NoSQL)
Familiarity with continuous integration tools (pref. Jenkins, Git)
Knowledge of deep learning architectures and frameworks (e.g., PyTorch, TensorFlow,…)


Soft Skills


Ability to think abstractly and creatively
Excellent communication and interpersonal skills
Flexibility: ability to work in a changing environment


Education


Engineer School/master’s degree from university with a specialization in mathematics, statistics, computer science, data science or any engineering related field
Although not strictly required a PhD on data-science, engineering or related fields is an advantage
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Job Title: Junior Data Scientist - User Fraud
Company: Spotify
Location: Stockholm, Stockholm County, Sweden
Description:
We are seeking a data scientist to join the User Fraud R&D Studio. Our mission is to protect Spotify from unwanted behaviour by detecting and preventing fake account creation and artificial streaming activity across all business areas. You will join a cross-functional team of data scientists and machine learning engineers who continuously experiment, iterate and deliver new fraud prevention solutions. Together, we address a diverse and evolving set of challenges, study user behaviour, develop data science and machine learning solutions, and bring insights into every decision we make. Your work will directly impact our ability to identify and prevent fraud.

What You'll Do


Analyze user and system data to detect and assess risks of artificial or fraudulent activity on Spotify.
Build data science and machine learning solutions to enable Spotify to quickly and automatically analyze data for fraud prevention.
Communicate insights and recommendations to non-technical audiences using clear visuals and data storytelling.
Build scalable data pipelines and dashboards to track our performance and support decision-making.


Who You Are


At least two years of experience working with large, complex datasets using Python, SQL or R.
You should also be comfortable creating your own data visualizations using tools like matplotlib, ggplot, looker studio or similar.
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field.
Experience and strong understanding of working with data pipelines, anomaly detection methods, statistical modeling and machine learning.
Strong analytical skills, with the ability to turn data into actionable insights and recommendations.
Strong problem-solving skills, intellectual curiosity, and a proactive approach to identifying new opportunities for fraud detection and prevention.
This role is based in Stockholm, Sweden
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.


Today, we are the world’s most popular audio streaming subscription service.
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