122 Artificial Intelligence jobs in California

• Deliver engaging lectures, seminars, and practical sessions in Artificial Intelligence and related Computer Science topics.
• Develop and update course content, syllabi, and assessment methods.
• Conduct independent research in Artificial Intelligence, leading to publications in peer-reviewed journals and conferences.
• Supervise undergraduate and postgraduate student projects, including dissertations and theses.
• Contribute to the administrative and collegial life of the department.
• Seek opportunities for research funding and collaboration.
• Foster an inclusive and supportive learning environment for all students.
• Stay abreast of current research and technological developments in AI.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Demonstrated record of high-quality research and publications in AI.
• Experience in university-level teaching or lecturing.
• Strong understanding of AI concepts, algorithms, and applications.
• Excellent communication, interpersonal, and presentation skills.
• Ability to work independently and collaboratively within an academic team.
• Passion for teaching and student development.

• Deliver engaging and informative lectures and tutorials in Artificial Intelligence and related Computer Science topics at undergraduate and postgraduate levels.
• Conduct independent research in Artificial Intelligence, publishing findings in leading academic journals and conferences.
• Supervise student research projects, including dissertations and PhD theses.
• Develop and update course content, syllabi, and assessment methods to reflect current advancements in AI.
• Contribute to the strategic development and academic leadership of the Computer Science department.
• Participate in departmental administration, including admissions, examination boards, and quality assurance processes.
• Seek and manage research grants and funding opportunities.
• Collaborate with colleagues on interdisciplinary research initiatives.
• Mentor junior staff and support the development of teaching assistants.
• Represent the university at academic conferences and engage with the wider AI community.
• Foster a positive and inclusive learning environment for all students.
• Contribute to the broader academic life and reputation of the university.

• A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong track record of academic research and publications in reputable AI venues.
• Proven experience in teaching Computer Science at university level, with demonstrated excellence in delivering AI-related modules.
• Experience in curriculum development and student supervision.
• Demonstrated ability to attract research funding.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work collaboratively within a university setting.
• Passion for teaching and mentoring students.
• Familiarity with various AI sub-fields such as deep learning, natural language processing, computer vision, or robotics is highly desirable.
• Experience in securing and managing research grants.

About Capgemini Invent

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

YOUR ROLE

As a Director in our Analytics & AI practice you will be responsible for new business and selling data science opportunities. You will play a leadership role across our AI, data science and analytics capabilities; shaping our strategy, defining our ambition and developing junior members of the team.

In this role you will play a key role in:

• Working as part of the Capgemini Invent A&AI leadership team to grow our practice and develop our offers
• Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses
• Helping clients embed data science solutions and use insight to optimise and automate business decision making at scale
• Selling, leading and managing large delivery programmes with data science and Gen AI at the core
• Inspiring our data science consultants to develop their technical capability and champion data science delivery excellence
• Creating thought leadership and new propositions that reflect Capgemini Invent’s position as a leading AI, data science and analytics consultancy

As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

• Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
• Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
• Learning & development – Training to support your career development and the skills demand within the company, certifications etc.

YOUR PROFILE

• Good existing relationships with Senior Executives of large organisations in the UK, focussed on the areas responsible for AI, Data Science and Analytics
• Experience of shaping the AI or data science services and solutions that deliver the client’s vision, integrated across technology and business functions
• A deep understanding of trends in the AI, data science or analytics market and how these are changing
• Experience in the business application of Gen AI and other AI solutions, for example customer experience, process optimisation, intelligent automation, workplace efficiency, asset management or intelligent search  

• Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
• Experience of proposition building and delivery.
• Business development – utilising a combination of the organisation’s broader pre-existing relationships, company relationships and your own network, you’ll be generating c.£2m of consulting revenues

NEED TO KNOW

At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.

CSR

We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about.  In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.  When you join Capgemini, you’ll join a team that does the right thing.

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

• Assisting in the collection and preprocessing of large datasets from various sources.
• Performing exploratory data analysis to identify patterns and trends.
• Developing and implementing basic machine learning models under supervision.
• Creating data visualizations to communicate findings effectively.
• Collaborating with team members on data-related projects.
• Learning and applying statistical techniques and data mining methods.
• Contributing to the documentation of data processes and methodologies.
• Participating in training sessions and knowledge-sharing activities.
• Gaining exposure to data warehousing, ETL processes, and cloud-based data platforms.
• Supporting senior data scientists in their day-to-day tasks.

• Comprehensive on-the-job training in data analysis, visualization, and statistical modeling.
• Mentorship from senior members of our data science team.
• A blend of practical project work and formal learning towards a Level 4/5 Data Analyst or Data Scientist qualification.
• Exposure to various data science tools and technologies (e.g., Python, R, SQL, Power BI).
• Opportunities to contribute to diverse client projects across different sectors.
• Development of critical thinking, problem-solving, and communication skills.
• Understanding of data governance, ethics, and best practices.

• Participate in comprehensive training programs covering data analysis, statistical modelling, machine learning, and data visualisation.
• Assist senior data scientists in collecting, cleaning, and pre-processing large datasets.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Develop and test statistical and machine learning models under guidance.
• Create clear and effective data visualisations and reports to communicate findings.
• Support the development of data-driven solutions to business problems.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Gain exposure to various data tools and technologies, including Python, R, SQL, and BI platforms.
• Contribute to team projects and present findings to stakeholders.
• Receive mentorship from experienced data professionals throughout the internship.

• Analyze large-scale agricultural data, including soil data, weather patterns, satellite imagery, and crop performance metrics, to extract actionable insights.
• Develop and implement predictive models for crop yield forecasting, disease detection, and optimal resource management (water, fertilizer).
• Design and conduct virtual field trials and experiments to test new hypotheses and technologies.
• Collaborate with software engineers to integrate data-driven insights into user-friendly platforms and tools for farmers and agronomists.
• Provide expert agronomic advice informed by data analysis to support strategic decision-making.
• Stay current with advancements in agricultural technology, data science, and agronomic research.
• Communicate complex findings and recommendations clearly to diverse stakeholders, including farmers, researchers, and management.
• Mentor junior agronomists and data analysts within the remote team.
• Contribute to the development of new data collection methodologies and research protocols.
• Ensure data integrity and implement best practices for data management and privacy.

• Master's or Ph.D. degree in Agronomy, Crop Science, Agricultural Science, or a related field, with a strong emphasis or specialization in Data Science or Quantitative Methods.
• A minimum of 6 years of experience in agronomy or agricultural research, with at least 3 years focused on data analysis, statistical modeling, or related quantitative techniques.
• Demonstrated experience and success working in a fully remote professional capacity.
• Proficiency in data analysis tools and programming languages such as R, Python (with libraries like Pandas, Scikit-learn, TensorFlow/PyTorch), and SQL.
• Experience with geospatial analysis and remote sensing data (e.g., satellite imagery).
• Strong understanding of agronomic principles, crop physiology, and soil science.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Strong communication and presentation skills, capable of conveying technical information effectively.

• Comprehensive Training: Immerse yourself in cutting-edge data science methodologies, machine learning techniques, statistical modelling, data visualization, and programming languages (Python, R, SQL).
• Real-World Projects: Apply your learning directly to challenging business problems across various departments, contributing to impactful projects that drive innovation and efficiency.
• Mentorship & Guidance: Receive dedicated support from experienced data scientists and industry leaders who will guide your development and career progression.
• Cross-functional Exposure: Gain a holistic understanding of the financial services industry by working alongside diverse teams and learning about different business functions.
• Professional Development: Participate in workshops focused on soft skills, presentation techniques, and project management to enhance your overall professional toolkit.
• Networking Opportunities: Build a strong professional network through interactions with senior management, industry experts, and fellow graduates.
• Potential for Permanent Employment: Successful completion of the graduate scheme may lead to an offer of permanent employment within the company's Data Science & Analytics team.

• Recent graduate with a Bachelor's or Master's degree (achieved or predicted) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, Economics, or a related discipline.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R) is essential.
• Familiarity with SQL and database concepts.
• A genuine passion for data, analytics, and uncovering insights.
• Excellent communication and interpersonal skills, with the ability to articulate complex ideas clearly.
• Proactive, curious, and eager to learn and contribute.
• Ability to work effectively both independently and as part of a team in a hybrid work environment.
• Eligibility to work in the UK.