135 Data Analysis jobs in California

• Lead the interpretation of remote sensing data (e.g., optical, radar, LiDAR) and geophysical data (e.g., magnetics, gravity) for mineral exploration.
• Develop and apply advanced data processing and analysis techniques to identify geological structures and mineralization.
• Integrate multi-disciplinary datasets to create comprehensive geological models and prospectivity maps.
• Utilize GIS software and geological modeling tools to visualize and analyze spatial data.
• Collaborate with field geologists and exploration teams to ground-truth remote sensing interpretations and guide exploration programs.
• Prepare detailed technical reports, presentations, and recommendations for senior management and stakeholders.
• Stay current with the latest advancements in remote sensing technology, geological interpretation, and data analytics relevant to mining.
• Mentor junior geoscientists and contribute to the development of best practices within the team.

• MSc or Ph.D. in Geology, Geophysics, or a related Earth Science discipline.
• Minimum of 10 years of experience in geological exploration, with a significant focus on remote sensing and data analysis in the mining sector.
• Expert proficiency in using GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms.
• Strong understanding of various geological environments and ore deposit types.
• Experience with programming languages (e.g., Python, R) for data analysis and automation is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superb written and verbal communication skills, with the ability to convey complex technical information clearly.
• Proven ability to work autonomously and effectively manage projects in a remote setting.
• Experience in hyperspectral data analysis is a significant asset.

• Process, analyze, and interpret high-resolution satellite and aerial imagery to assess crop health, soil conditions, and growth patterns.
• Develop and refine algorithms for crop monitoring, yield prediction, disease detection, and stress identification using remote sensing data.
• Integrate data from various sources, including weather stations, soil sensors, and farm management software, to create comprehensive analytical models.
• Provide expert agronomic advice based on data-driven insights, assisting farmers in optimizing irrigation, fertilization, and pest management strategies.
• Utilize GIS software (e.g., ArcGIS, QGIS) for spatial analysis, mapping, and visualization of agricultural data.
• Conduct field validation studies to verify remote sensing observations and ground-truth data.
• Collaborate with research and development teams to explore new technologies and methodologies in precision agriculture.
• Prepare detailed reports, presentations, and visualisations for clients and internal stakeholders.
• Contribute to the development of user-friendly tools and platforms for agricultural data management and decision support.
• Stay abreast of advancements in remote sensing technology, agricultural science, and data analytics.

• Master's degree or PhD in Agronomy, Soil Science, Geosciences, or a related agricultural/environmental science field with a strong emphasis on data analysis and remote sensing.
• Minimum of 5 years of experience applying remote sensing and geospatial techniques in an agricultural context.
• Proficiency in data analysis and statistical software (e.g., R, Python, MATLAB).
• Expertise in using GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS IMAGINE).
• Strong understanding of crop physiology, soil science, and agronomic practices.
• Experience with machine learning techniques for image classification and data interpretation is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively both independently and as part of a collaborative team.
• This is a hybrid role, requiring occasional visits to our Edinburgh, Scotland, UK office, alongside remote work capabilities.

• Assist in the collection, cleaning, and organisation of data from various sources.
• Perform routine data analysis to identify trends, patterns, and insights that support business decision-making.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
• Collaborate with business stakeholders to understand their data needs and translate them into analytical requirements.
• Support the creation of ad-hoc reports and analyses as requested by various departments.
• Ensure data accuracy and integrity throughout the analysis process.
• Contribute to the continuous improvement of data management and reporting processes.
• Learn and apply statistical techniques to analyse data sets.
• Assist in the documentation of data dictionaries, analytical processes, and report definitions.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Foundational knowledge of data analysis principles and techniques.
• Proficiency in MS Excel, including advanced functions like pivot tables and VLOOKUP.
• Exposure to SQL for data querying is highly desirable.
• Familiarity with business intelligence tools such as Tableau, Power BI, or QlikView is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills, with the ability to explain findings clearly.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work effectively in a hybrid work model, balancing remote and on-site collaboration.

• 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.

• 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.

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.

• Assist senior data scientists in collecting, cleaning, and transforming large datasets.
• Learn and apply statistical modeling, machine learning algorithms, and data mining techniques.
• Develop and implement data visualizations to communicate insights effectively.
• Contribute to the development of predictive models and analytical solutions.
• Participate in data exploration and hypothesis testing.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay abreast of the latest trends and advancements in data science and artificial intelligence.
• Document methodologies, findings, and project progress.
• Support the maintenance and optimization of data pipelines and analytical tools.
• Gain hands-on experience with various data science programming languages and platforms.

• A recent graduate degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Familiarity with programming languages like Python or R is a plus.
• Basic understanding of statistical concepts and machine learning principles.
• Excellent communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
• A proactive attitude and a strong desire to learn and grow in the field of data science.
• Ability to work independently and manage time effectively in a remote environment.
• Enthusiasm for data and its potential to solve real-world problems.