Subject Leader of Science Job at Swale Academies Trust (Whitstable)

Data Science Leader

Drive innovation and solve critical airfield challenges through a data-driven ap...

Location

United States , Columbus

Salary:

Not provided

ADB Safegate

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Physics, Computer Science, or a related technical field
Minimum of 8–10 years of relevant experience in data analysis, algorithm development, system modeling, or engineering roles
Strong knowledge of engineering and/or physics principles
Proven experience in simulation and modeling techniques
Familiarity with sensor systems, IoT devices, and data collection/processing methodologies
Understanding of airfield operations and/or airport systems is highly desirable
Proficiency in programming languages (such as Python or MATLAB)
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Passion for innovation, technology, and continuous learning

Job Responsibility

Leading the development of Airside 4.0 use cases
Creating and implementing algorithms to extract actionable insights from data and optimize airfield operations
Developing simulation models to test and validate solutions
Gaining deep knowledge of ADB Safegate's products and how they interact within the airfield ecosystem
Partnering with engineering, product management, and customer-facing teams
Collecting, processing, and analyzing data from airfield systems
Applying engineering and physics fundamentals to tackle complex airfield challenges
Acting as a subject matter expert in Airside 4.0 technologies and mentoring technical team members

What we offer

Health benefits
Retirement plans
Performance bonuses
Professional growth opportunities
Collaborative work environment

Fulltime

Science Leader of Learning

The Science Leader of Learning (Teacher) will join King’s InterHigh on a part-ti...

Location

United Kingdom , London

Salary:

Not provided

International School of Monza

Expiration Date

Until further notice

Requirements

A degree in a relevant Science subject and a recognised teaching qualification (e.g., PGCE with QTS)
Excellent written and verbal communication skills
Knowledge of safeguarding procedures and professional standards
Experience teaching Science across Key Stages 3–5 (with the ability to teach at least one Science at KS5 desirable)
Experience working in the primary, secondary, or college sector (state or independent)
Ability to create, review, and enhance digital learning resources
Strong teamwork and interpersonal skills with a collaborative approach
Confidence using technology and delivering online lessons effectively
A proactive, improvement-focused mindset and the ability to adapt to change

Job Responsibility

Inspire, motivate, and provide purposeful subject knowledge in Science to students
Keep up to date with current research and emerging pedagogy and share best practice within the department
Take a leading role in maintaining a positive, engaging, and inspirational learning climate across Science
Support self-evaluation processes and contribute to school priorities for improvement
Maintain high professional standards and act as a role model for students and colleagues
Promote the academic progress and wellbeing of all students within assigned groups
Provide timely and accurate assessments, reports, and references for students
Participate in meetings, staff development, and CPD opportunities
Assist in developing high-quality learning materials and course resources
Undertake additional work or responsibilities as directed by the line manager

What we offer

Pension Scheme
Life Cover
Employee Discount Programme

Parttime

Senior People Scientist

The Sr People Scientist is responsible for supplying to the development of an en...

Location

United States , Bellevue

Salary:

127700.00 - 230300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Subject area (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
Doctorate Quantitative Discipline (I-O Psychology
Behavioral Economics
Applied Social Psychology w/emphases on research science and advanced statistics)
7-10 years Research science or related experience
Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics
4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields

Job Responsibility

Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability
Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling
Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members
Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science
Build and run true A/B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall T-Mobile people strategy
evaluate research initiatives to provide bottom line value, return on investment and improvements
Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Lead Actuary

The Lead Actuary will play a critical part in shaping the financial strategy and...

Location

United States

Salary:

154000.00 - 192000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

10+ years of experience as an actuary with demonstrable experience working with novel risk structures
FCAS required
BA/BS in Math, Statistics, Economics, Finance or similar field
Strong command of actuarial tools, statistical methods, data visualization techniques, and financial modeling (R, Python, SQL a plus)
Comfort working within the non-traditional sharing economy insurance space
Entrepreneurial self-starter with excellent problem-solving capabilities, judgment, communication and interpersonal skills
Ability to work cross-functionally and actively collaborate with leaders on product, finance, legal, and data science
Comfortable in a fast-paced environment, subject to rapid change and uncertainty
Enthusiasm about Airbnb and aligned with Airbnb's core values

Job Responsibility

Partner with internal and external parties to develop, price, and underwrite innovative new insurance and protection products in support of our global guests and hosts
Manage and support Airbnb's core actuarial processes for pricing, reserving, and overall performance evaluation in support of strategic decision making around risk financing and structure
Develop insurance pricing to support insurance placement and renewals
Work closely with cross functional internal stakeholders to build dashboards to evaluate current program performance and recommend areas for improvement
Work closely with cross functional stakeholders to evaluate optimal product insurance structure and pricing
Identify emerging risks and effectively measure impact to Airbnb
Communicate and present findings to insurance management and other internal and external stakeholders

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data Science Solution Architect

The consultant will need to have extensive experience working across Microsoft e...

Location

United States , Irving

Salary:

Not provided

Hire IT People, Inc

Expiration Date

Until further notice

Requirements

Extensive experience working across Microsoft environments utilizing Azure Cloud Solutions
Broad skill set encompassing SQL, Python, Dataiku, Alation, Databricks, Snowflake, Power BI, Tableau, AWS and Azure Clouds
Strong experience creating design documentation, and knowledge-based artifacts
Prior experience working with Accounting and Finance Leaders, as well as Sales and Operations Leaders – with an understanding of financial data and operational data (job coding, vendor data, costs, etc)
Expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert
Prior expertise from the Center of Excellence for Data, AI and ML
Minimum qualification is a bachelor's degree or equivalent in engineering or equivalent in a related field or a foreign equivalent is required closely related field with relevant experience

Job Responsibility

Work in collaboration with the business operations leaders to gain insight to how the company utilizes their data, uncover additional needs, and ultimately build an enhanced and scalable environment to meet business initiatives
Data Analysis and Data engineering: Utilizing tools and technologies like SQL and Python for data analysis and engineering tasks
Implementing data engineering activities using platforms like Databricks and Snowflake
Data Science Methodologies: Applying data science methodologies, using Python and tools like Dataiku for data science workflows
Apply Machine Learning strategies and models for a better Model deployment and pipelines
Data Governance: Serving as subject matter expert in Data Governance, leveraging Alation to manage and Govern Data effectively by doing data cataloging and stewardship
Team Leadership: Acting as a team or technical lead, responsible for Overseeing and delivering the team's work in data engineering and analysis
Dashboard Creation: Creating dashboards using visualization tools such as Power BI, Tableau and Microsoft suite
Cloud Services: Leveraging Amazon web services (S3, IAM, Redshift, Cloudwatch, Glue, Sagemaker,etc.. ) and Azure( Microsoft Fabric, Azure Data Factory,SQL Server,Azure SQL,SSAS,Synapse,Power BI) Cloud Services to implement and deliver business activities along with compliance, Security, Disaster recovery , testing and Devops
Assist the team or firm with the expertise as a Microsoft Certified Trainer, Data science professional and Amazon Subject matter expert

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