Science Specialist Job at Pink Tile Education Ltd (Chichester)

Data Science Specialist

The Data Processor is a member of our Project Services team, a multi-disciplinar...

Location

Taiwan , Taipei

Salary:

Not provided

Human8

Expiration Date

Until further notice

Requirements

Bachelor's degree (e.g. Marketing, Mathematics, Economics, Statistics, or similar)
3-5 years of experience
Manage English at a professional level (verbal/writing) and able to have a fluent and accurate conversation
Fluent in Mandarin and familiar with Cantonese
Advanced knowledge of SPSS / Q / Win Cross / Data Wizard
Basic knowledge of Microsoft Office tools (Excel, Word, PowerPoint)
Knowledge of HTML, CSS, XML
Experience with Google Survey, Survey Monkey, Qualtrics, or any survey platform

Job Responsibility

Data quality assurance
Critically assess the technical side of questionnaires
Research document development
Data handling
Analysis & statistics
Reporting & visualization
Account management
Method management
Survey programming

Fulltime

Professional Learning Facilitator, Adoption & Pilot Support Specialist (Science)

About Kiddom: Kiddom is a groundbreaking educational platform that promotes stud...

Location

United States

Salary:

75.00 - 100.00 USD / Hour

Kiddom

Expiration Date

Until further notice

Requirements

3+ years in education, professional learning facilitation, instructional design, or related roles
Proven ability to deliver engaging, interactive sessions for adult learners using standardized materials (virtual and in-person)
OpenSciEd or similar phenomenon-based, NGSS-aligned science storylines
Availability to deliver sessions on a flexible schedule, including evenings or weekends as needed
Comfort with webinar platforms, collaboration tools, and learning management systems
Bachelor’s degree in education or a related field (Master’s degree preferred)
Possession of reliable personal technology, including: A high-performance laptop/computer, Webcam and microphone for virtual sessions, Stable internet connection

Job Responsibility

Facilitate virtual and in-person professional learning sessions for educators, school leaders, and district teams aligned with Kiddom’s mission, solutions, and best practices in adult learning
Utilize Kiddom Professional Learning provided resources and materials during all facilitation to ensure a consistent, high-quality professional learning experience for every customer
Maintain a deep understanding of Kiddom’s solutions and their applications in varied educational contexts
Communicate effectively and professionally with customers to confirm session schedules, send timely reminders, and follow up after each session with resources and feedback collection
Maintain accurate documentation of session attendance and key takeaways to inform ongoing improvements
Support operational processes by adhering to scheduling requirements, managing session logistics, and promptly reporting any issues or concerns

What we offer

Flexible, part-time schedule that works around your availability
Opportunities to grow your skills and deepen your expertise in edtech
The chance to make an immediate impact on educators and classrooms
A passionate, collaborative team obsessed with building transformative education technology

Parttime

Data Science Specialist

As Data Scientist, you will play a key role in designing data processes and data...

Location

Poland , Wrocław

Salary:

Not provided

AmRest

Expiration Date

Until further notice

Requirements

Professional or academic experience in quantitative field, e.g. Data Science, Computer Science, Statistics, Mathematics, Quantitative Economy
Good command of Python and SQL
Understanding of Data Science methods and proven experience in applying selected of them, e.g. segmentation, predictive analytics, A/B testing, classification modelling, recommendation systems, time series analysis, survey analysis, natural language processing
Practical knowledge of working with data, i.e. data extracting, data cleansing, data processing, exploratory data analysis, feature engineering
Ability to accurately and understandably communicate plans, taken action and outcomes to technical and non-technical audience
Business oriented approach (done is better than perfect, model profitability and scalability are as important as accuracy)
Very good command of English both written and spoken (B2 level)

Job Responsibility

Designing solutions in the field of advanced analytics (ML, AI, NLP, etc.)
Preparing reports and analysis based on available internal and external data
Searching for data-driven insights and inventing new ways of using data
Enriching and processing data in order to provide better data based solutions
Deploying data based solutions for production use
Presenting work outcomes to both technical and non-technical audience
Advising and educating other teams on the potential of using data

What we offer

Accelerated professional and personal development through meaningful challenges and a knowledge-sharing culture
Annual bonus of up to 10% of gross annual earnings
Independent tasks that build valuable work experience and offer opportunities to create and implement innovative solutions
Benefits package, including a Multisport card, private medical care, a 25% discount at our restaurants and cafes, and more
Flexible work arrangements: hybrid model or 100% remote, always with flexible hours

Lead Teacher of Science (SEN Specialist)

Lead Teacher of Science (SEN Specialist) in Mansfield. Permanent, full-time, ter...

Location

United Kingdom , Mansfield

Salary:

32916.00 - 45352.00 GBP / Year

Randstad

Expiration Date

June 25, 2026

Requirements

QTS
relevant Level 6 qualification
deep toolkit of Science resources
ability to simplify the complex
valid driving licence and vehicle
ability to track progression in attainment
background in youth work
behaviour management
building relationships
classroom management

Job Responsibility

Shape the vision of the Science curriculum
empower peers through coaching and mentoring
quality and growth audit
teach small groups and 1-to-1

What we offer

Referral Bonus
training and education
Safeguarding & Prevent

Fulltime

Senior Specialist, Data Science

Every year, we help hundreds of thousands of people find rewarding jobs in the e...

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

June 14, 2026

Requirements

Requires working knowledge of own discipline and a basic understanding of concepts and procedures in related disciplines
Demonstrates knowledge of the company, processes and customers
Performs a range of assignments related to discipline
Uses prescribed guidelines or policies in analyzing situations and resolving problems to deliver continuous business results
Receives a moderate level of guidance and direction
may provide informal guidance to new team members
Impacts quality and effectiveness of own team and may impact other closely related work teams whose activities are interdependent
Explains factual, sometimes complex and potentially dynamic information to others in straightforward situations

Job Responsibility

Assists with the acquisition, processing, integration, and cleaning of complex data from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility
Handles complex datasets and scenarios with increased autonomy
Will use programming or software development tools/processes to further process, clean, and prepare datasets in a manner that requires advanced statistics, machine learning-based, or other methods (i.e,. taxonomies, spell correction, location normalization, anomaly detection, hypothesis testing, etc)
Assists in building and refining complex data dashboards and reports, using a variety of tools to automate data collection and generate sophisticated reports
Contributes significantly to the development and efficiency of analytical processes, ensuring complex data insights are effectively presented to stakeholders
Performs complex data investigations and performs analysis, identifying trends and variances that support the organization’s strategic initiatives
Uses advanced statistics, machine learning-based, or other methods to support this work
This includes managing data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports
Processes developed will be scalable to be used in a standardized manner for multiple uses
Contributes to the development of data science, and machine learning processing pipelines to ensure that data is continuously updated and maintained for use by stakeholders

Fulltime

!

Specialist Data Science & Analytics

At Vodafone, we’re not just shaping the future of connectivity for our customers...

Location

Spain , Madrid

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experience in agile way of working
Strong communication skills with ability to influence senior stakeholders
Storytelling with data
Hands‑on proficiency in Python for data analysis, automation, and AI/ML solution development, following software engineering best practices (version control, modular design, reusable components)
Practical experience with any Cloud (GCP, Azure, AWS)
Working knowledge of Machine Learning and GenAI solutions
Experience defining, building and supporting end‑to‑end analytics or AI products, from requirements gathering and design through to preproduction and production deployment
Proven experience collaborating across business, IT and delivery team

Job Responsibility

Identify opportunities to improve business outcomes using analytical techniques, working with Local Markets and Group to understand their requirements and find and/or develop appropriate analytical products
Build and deliver data science and GenAI models that drive value following best-practices and standards (revenue upturn, cost decrease and/or customer & employee engagement improvements)
Build and deliver automations which will help digital transformation of stakeholders
Partner with Product Manager & delivery teams within VOIS to deliver analytics solutions
Create, own and maintain reusable data science products and services that can be deployed across Vodafone
Drive innovation by employing new analytical techniques
Stakeholder management and engagement with new stakeholders from Group and OpCos to address their analytics needs and shape and define our Analytics Products/Projects Portfolio based on these requirements
Ensure best-practices and standards for software development in Data Science are followed across the wider team
Own specification and delivery of analytical products and services
Manage analytics portfolio and products by continuous improvement of existing products and developing new products based on stakeholder needs

What we offer

Hybrid work model
Bonus on top of the gross salary
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees and Family
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training

Fulltime

Enterprise Data Science Senior Specialist

Act as a senior individual contributor responsible for implementing enterprise c...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent hands‑on experience with machine learning and deep learning algorithms
Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI)
Minimum 4–6 years of experience in data science, AI, and analytics roles
Proven experience in building and deploying AI/ML models in production environments
Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively
Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying
Experience with big data analytics frameworks, including PySpark and Spark clusters
Strong skills in data mining, feature engineering, and time‑series forecasting
Good working knowledge of Linux operating systems
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Job Responsibility

Translate customer and product requirements into clear data science and AI implementation tasks
Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases
Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms
Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions
Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams
Apply best practices in feature engineering, model selection, evaluation, and optimization
Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking
Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality
Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes
Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders

Interim Science Policy Specialist

Interim Opportunity: Science Policy Specialist (Physical Sciences). Duration: 6–...

Location

United Kingdom , London

Salary:

70000.00 GBP / Year

Membership Bespoke

Expiration Date

Until further notice

Requirements

Demonstrable experience in science policy, research policy, or a closely related field
Strong understanding of the UK R&D landscape and government priorities, including familiarity with the role and priorities of the Department for Science, Innovation and Technology (DSIT)
Ability to translate complex scientific and economic concepts into clear strategic narratives
Experience developing thought leadership, policy frameworks, or sector-wide strategies
Comfortable engaging with senior stakeholders across academia, industry, and government

Job Responsibility

Synthesising existing policy, research, and sector insights into a clear, authoritative narrative
Articulating how the physical sciences underpin key government priorities (e.g. innovation, economic growth, net zero, national security, advanced technologies)
Defining the characteristics of a stable and thriving physical sciences ecosystem, including funding models, skills pipelines, infrastructure, and collaboration
Engaging with senior stakeholders to test and refine strategic messaging
Producing high-quality written outputs suitable for policy and advocacy use

Fulltime

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Science Specialist

Job Description

Job Responsibility

Requirements

What we offer

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