Leader of Learning - Computer Science Job at International School of Bergamo (London)

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

Computer Science Intern

A career as a Networking Intern allows you the opportunity to gain exposure and ...

Location

United Kingdom , Winnersh

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Currently pursuing a bachelor’s degree with a focus in Information Systems, Computer Science, or related field
You must be eligible to work in the UK and be available to commence the placement on the 1st of July 2026 for 13 months
Passionate about technology and computer networking - if technology interests or excites you, you’ll love this role
Understand core Computing & Networking technologies and an appreciation of current technology trends
Possess a collaborative, solution focused and ability to act with a sense of urgency
Embrace new ideas and fresh thinking and seek out ideas different than your own
You are an active leader on campus who strives to make a positive impact on the world.

Job Responsibility

Assist in the hardware and software installation and the development of appropriate configurations for new PoC infrastructure(s) under the support, guidance and supervision of the local Technical Consultants and Lab Manager
Partner with the Presales Teams to build strong relationships for opportunities and projects to support the ever-changing landscape
Visit customers in a 'shadow' role with other experienced technology advisory consultants
Build your consultative skills to uncover real customer needs
Present to peers, management, and customers to develop facilitation and presentation skills
Develop your personal network from worldwide experts
Learn how to price a deal and build the commercial construct
Learn outcome-based selling that is focused on the customers’ workloads
Manage team budget requests, ensure timely submission and reconciliation of orders.

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion.

Fulltime

Senior Data Scientist

The Senior Medical Data Scientist will play a vital role in supporting Global Me...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Statistics, or a related quantitative field and 2+ year(s) of experience in data analytics or data science
OR, Master’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 5+ years of experience in data analytics or data science
OR, Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field and 7+ years of experience in data analytics or data science
Experience in data science, statistics, machine learning, or advanced analytics, with hands-on application of statistical techniques such as hypothesis testing, regression analysis, clustering, and classification
Demonstrated hands-on expertise in data science, statistical modeling, machine learning, advanced predictive modeling, NLP, or related fields, with successful delivery of end-to-end solutions
Advanced programming in SQL and Python (R a plus)
comfort working in Databricks or similar environments
Strong storytelling and presentation skills
ability to translate data into clear, compelling insights

Job Responsibility

Design and build high-impact projects that address complex medical questions across therapeutic areas, applying advanced data science methods (predictive modeling, NLP, LLMs, machine learning, causal inference)
Conduct end-to-end data science projects across structured and unstructured datasets (e.g., HCP sentiment, scientific engagement data, publications, CRM/field medical data) using Python, R, SQL, Tableau, Power BI, or similar platforms
Drive the design, application, and evaluation of test-and-learn approaches — including causal inference methods, advanced A/B testing, and pilots, with accountability for methodological rigor and actionable insights
Partner with business leaders and stakeholders to define problem statements, set project scope, and design and conduct medical data science projects such as MSL engagement optimization, MSL note sentiment analysis using LLMs, and digital engagement impact measurement, turning complex data into insights that enable more effective field medical activities
Design and optimize scalable data pipelines in collaboration with engineering teams, ensuring reproducibility, robustness, and compliance in deployment workflows
Translate complex model outputs into clear, actionable insights and recommendations and deliver compelling presentations, reports, and visualizations to medical and cross-functional leadership teams
Serve as a technical SME (subject matter expert) in data science, providing thought influencing designing and methodology choices across the MDnA team
Passion to continuously learn, evaluate and introduce emerging technologies (e.g., Generative AI, LLMs, advanced A/B testing frameworks) and act as a motivational peer to strengthen Amgen’s data science toolbox
Maintain best practices in reproducibility, documentation, version control, and model governance across teams

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Data Science Group Manager

The Applications Development Technology Senior Lead Analyst is a senior level po...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 10+ years of relevant experience in an Apps Development role or senior level experience within Data analytics/ML space
At least 3+ years of experience applying AI to practical uses, experience with deep learning, NLP and Tensorflow
Proficiency in Scala, Python, and other language or domain-specific packages as well as Big Data Eco system
Exhibit expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi’s internal and external cloud platforms (AWS, PCF, Akamai)
Acquire relevant technology and financial industry skills (AWS PWS) and understand all aspects of NGA technology – including innovative approaches and new opportunities
Strong communication skills, e.g. ability to translate business use cases to tech specs, working with diverse project teams, and developing relationships with vendors
Analyze complex business processes, system processes, and industry standards to define and develop solutions to high level problems
Allocate work, and act as an advisor/coach developers, analysts, and new team members
Provide expertise in area of advanced knowledge of applications programming and plan assignments involving large budgets, cross functional project, or multiple projects
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Job Responsibility

Lead the Data Science functions regionally to meet goals, deploy new products, and enhance processes
Serve as a functional SME across the company through advanced knowledge of algorithms, data structures, distributed systems, networking, use of knowledge and experience to lead, architect, and drive broader adoption forward

Fulltime

AI and Machine Learning Engineer

This role involves designing, developing, and optimizing AI and machine learning...

Location

United States , Spring

Salary:

79700.00 - 183200.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
0-2 years’ experience
Proficiency in programming languages such as Python, R, or Java
Knowledge of libraries and frameworks commonly used in AI and machine learning, such as TensorFlow, PyTorch, or scikit-learn
A solid understanding of statistics, probability, linear algebra, calculus, and optimization methods
In-depth knowledge of machine learning algorithms, techniques, and concepts
Proficiency in working with large datasets, data pre-processing, data cleaning, and exploratory data analysis
Experience with SQL and databases and data visualization tools like Matplotlib or Tableau

Job Responsibility

Designs, develops and implements AI and machine learning models
Gathers and analyzes relevant data sets to train and test machine learning (ML) models
Optimizes algorithms and models to improve their performance
Works closely with cross-functional teams, including data scientists, software engineers, product managers, and domain experts
Keeps accurate and up-to-date AI and machine learning project documentation
Prepares reports and presents findings or recommendations to stakeholders
Participates in regular design review sessions with the engineering manager, team leader, and other stakeholders
Actively seeks and incorporates feedback from the engineering manager or team leader
Attends daily or weekly stand-up meetings
Prepares and delivers detailed presentations and reports to stakeholders

What we offer

Comprehensive health & wellbeing benefits
Investment in personal & professional development
Inclusive work environment celebrating individual uniqueness
Flexibility to manage work and personal needs

Fulltime

Data Science Lead

The Data Science Lead is a strategic professional who stays abreast of developme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
10+ years experience using tools for statistical modeling of large data sets
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Leader of Learning - Computer Science

International School of Bergamo

Location:
United Kingdom , London

Category:
Education

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 23, 2026

Expiration:
May 01, 2026

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