Data Scientist - Junior Job at NTT DATA (Delhi)

Junior Data Scientist

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience
Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection
Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code
Familiarity with core data science libraries (pandas, NumPy, scikit-learn)
Exposure to PyTorch or TensorFlow is a plus
Some project experience with ML — academic projects, personal projects, internships, or competition entries all count. Show us something you've built
Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions
Clear communication — you can explain what you did, why, and what you learned from it.

Job Responsibility

Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular)
Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system
Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review
Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines
Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team
Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work.

What we offer

Remote working - café, bedroom, beach - wherever works
Benefits healthcare
Truly flexible working hours - school pick up, volunteering, gym
Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Transparent and open culture - you will be heard
Development - focus on bringing the best out of each other

Fulltime

Junior Data Scientist

At the Mercedes-Benz Customer Assistance Center (CAC), we support customers acro...

Location

Netherlands , Maastricht

Salary:

3607.00 - 4122.00 EUR / Month

Randstad

Expiration Date

July 30, 2026

Requirements

Deep understanding of embeddings, vector search, topic modeling, and RAG architectures
Experience with prompt engineering and orchestration frameworks (e.g., LangChain or LlamaIndex)
Proficiency in Azure Databricks, PySpark, and Spark SQL
Know how to ingest data from APIs, streams, and files into well-modeled data layers
Strong Python skills with an emphasis on modularity, Pydantic for data validation, and professional Git workflows
Comfortable working in an Agile or SAFe environment
Fluent in English (written and spoken)
Proactive self-starter
Transparent, proactive communication
Critical thinking

Job Responsibility

Design and build LLM-based solutions for information extraction, summarization, and conversational AI
Develop scalable data pipelines in Azure Databricks using PySpark and Spark SQL
Write clean, modular Python code and build shared libraries and reusable components
Use Copilot and other AI assistants to accelerate workflow while maintaining high standards for validation (Pydantic) and version control (Git/GitHub)
Act as a consultant to the business, explaining complex AI concepts to stakeholders and challenging requirements to ensure we solve the right problems

What we offer

Long term commitment
Personal development
International and dynamic environment

Fulltime

Big Data Junior Scientist

We are seeking a highly motivated and analytically driven The Big Data Junior Sc...

Location

Poland , Warsaw

Salary:

90440.00 - 142960.00 PLN / Year

Citi

Expiration Date

Until further notice

Requirements

Master or Bachelor degree in technical science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills proved) (4-5th year students may be considered as well)
Some experience in data mining methods and their application in business practice
Programming and statistical/data analytical skills (SQL, Python)
Initiative, creativity and attention to details
Ability to discuss reasoning, critical assessment of facts and opinions
Demonstrated ability to communicate effectively, both orally and in writing
Self-motivated with high desire of self-development and learning

Job Responsibility

Conduct data-driven analyses and reports
apply qualitative and quantitative data analysis methods, prepare statistical and non-statistical data exploration
Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds
Build and implement models and algorithms
Detect data anomalies and identify source of data problems
Use visualization techniques to display data and the results of analysis in clear presentations
Design statistically valid samples, design and conduct statistical experiments
Work with existing AI models and contribute to the exploration and implementation of new AI-driven solutions for data analysis and pattern recognition
Ensure Data Quality and Reliability
Design and implement various Data Quality methods

What we offer

Employer paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings (PPE Program)
Employer paid Private Medical Care Package for employees and Private Medical Care Packages for certain family members available at preferential rates
Employer paid Life Insurance Program for employees and Life Insurance for certain family members available at preferential rates
Employee Assistance Program financed by Employer
Paid Parental Leave Program (maternity and paternity leave
statutory and 2 weeks additional paid paternity leave)
Sport Card for employees subsidized via Social Benefits Fund and Sport Cards for certain family members available at preferential rates
Additional benefits from Company’s Social Benefit Fund, in particular: Holidays Allowance, support for sport and cultural activities, team building events
Additional day off for volunteering
Cafeteria/ flex benefit

Fulltime

Junior Data Scientist

Satalia builds enterprise-grade AI systems for WPP and its FTSE 100 client base....

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

A degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, or similar) or equivalent practical experience
Solid understanding of ML fundamentals: supervised vs. unsupervised learning, overfitting, evaluation metrics, and basic model selection
Working knowledge of Python — you can write functions, use libraries, debug errors, and read other people's code
Familiarity with core data science libraries (pandas, NumPy, scikit-learn)
Some project experience with ML — academic projects, personal projects, internships, or competition entries all count
Curiosity and initiative — you read papers, follow releases, tinker with new tools, and ask good questions
Clear communication — you can explain what you did, why, and what you learned from it

Job Responsibility

Explore and prepare datasets — cleaning, feature engineering, and exploratory analysis across structured and unstructured data (text, image, tabular)
Train and evaluate ML models under the guidance of senior scientists, learning how to move from a working prototype to a production-ready system
Write and maintain Python code that runs in production — scripts, pipeline components, and data processing jobs — with support through code review
Help build and test components of LLM-powered systems: prompt templates, evaluation scripts, data loaders, and retrieval pipelines
Run experiments systematically: track hypotheses, log results, and communicate findings clearly to the team
Learn and adopt software engineering best practices — Git workflows, testing, documentation, and CI/CD — as part of your daily work

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture

Fulltime

Junior Data Scientist

We are looking for a Junior Data Analytics Associate who is eager to build a car...

Location

India , Bengaluru

Salary:

Not provided

Mantle Solutions

Expiration Date

Until further notice

Requirements

SQL
Advance Excel
Power Bi
Tableau
6 months–3 years of experience in a data, analytics, or business analyst role (internship/fresher experience considered)
Basic to intermediate SQL skills — able to write queries, use filters, and apply joins
Good Excel skills — comfortable with pivot tables, basic formulas, and data formatting
Some exposure to BI or reporting tools like Power BI, Tableau, or similar
Strong attention to detail and a methodical approach to data handling
Good written and verbal communication skills — able to present simple findings clearly

Job Responsibility

Support the team in preparing regular reports on retail KPIs — sales, category performance, basket size, and customer metrics
Run SQL queries to extract, validate, and organise data for reports and business analyses
Assist in building and updating dashboards and visualisations in Power BI or Excel
Help with cohort and customer segmentation reports to support campaign and retention planning
Assist in data quality checks and flag discrepancies in retail data sources
Support cross-functional teams with ad hoc data pulls and basic analytical requests
Learn retail analytics frameworks — promo analytics, pricing analysis, merchandising KPIs — under senior guidance
Contribute to insight decks and presentations for business stakeholders

Fulltime

Junior Data Scientist

Join us at Barclays as a Junior Data Scientist within our Investment Bank Resear...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

PhD or MSc in STEM academic field including Financial/Applied Mathematics, Physics, Engineering
Previous professional experience in Data Science
Coding proficiency in the data science stack (Python, SQL, Pyspark, Polars) with the ability to run Machine Learning models
Excellent communication skills dealing with internal and external stakeholders

Job Responsibility

Analysis of market, sector, corporate and/or economic data to help develop investment theses for your coverage universe to produce best in class Research
Research may range from individual company or sector notes, through to long dated thematic reports
Presentation of Research views to Barclays Clients
this can be through direct, face to face and virtual interactions, Research hosted events and written communications
Engagement with Markets, Client Strategy and other stakeholders, to raise awareness of your Research both to Clients and internally
Provision of insights and Research views to internal Clients to help them navigate financial markets and risks
Collaboration with the Supervisory Analyst, Compliance and other stakeholders to ensure Research is produced and delivered to Clients and internal stakeholders in a compliant manner

Fulltime

Junior Data Scientist

Start.io is a mobile marketing and audience platform. Start.io (formerly StartAp...

Location

Salary:

Not provided

Start.io

Expiration Date

Until further notice

Requirements

1-2 years as a data scientist
B.Sc. in engineering, computer science, or other quantitative fields
Practical experience with Python and SQL
Understanding ML and DL concepts
Passion for data and DS workflows, independence, and being a team player

Job Responsibility

Develop and deploy batch data pipelines processing billions of data signals
Support real-time NLP applications
Design data flows and develop utilities that allow the team members to work more efficiently
Manage data pipelines from and to all of our data sources, such as Vertica and AWS S3
Develop CI/CD pipelines
Build and maintain classical ML models as well as deep learning models for massive amounts of events
Work closely with DS, DA, DevOps, ETL engineers, and product managers
Build production-grade LLM and RAG systems for data-driven classification and prediction

Junior Business Scientist, Data Science and Marketing Effectiveness

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solution...

Location

United States , New York

Salary:

75000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

0-2 years of professional experience, including internships or graduate placements
Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field
Basic knowledge of Python or R, and other analytics tools
willingness to learn more advanced techniques
Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics
Ability to work with and clean large datasets while maintaining attention to quality
Proficient in Microsoft Office (Excel, PowerPoint, Word)
Analytical mindset, curiosity, and problem solving skills
Ability to work autonomously while being a collaborative team member
Strong communication skills to engage with clients and internal teams

Job Responsibility

Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO)
Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel
Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics
Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams
Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations
Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery
Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible
Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science
Actively participate in office meetings, training sessions, and team initiatives
Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment

Fulltime

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