85 Data Science jobs in California
Director (Data Science) - Glasgow
Glasgow, Scotland
Capgemini
Posted 10 days ago
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Job Description
Director (Data Science) - Glasgow Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation
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.
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Graduate Trainee - Data Science
EH1 1AA Edinburgh, Scotland
£25000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client is offering an exceptional Graduate Trainee opportunity in Data Science, providing a pathway for ambitious recent graduates to kickstart their careers. This is a fully remote, 12-month paid internship, designed to provide comprehensive training and hands-on experience in the exciting field of data analysis and machine learning. The successful intern will be working within a supportive and innovative team, contributing to real-world projects.
As a Graduate Trainee, you will be exposed to various aspects of data science, including data collection, cleaning, analysis, visualization, and predictive modeling. You will work closely with experienced data scientists, learning to apply statistical methods and machine learning algorithms to extract valuable insights from complex datasets. The program emphasizes practical application, allowing you to develop a strong foundation in data science principles and tools.
Key responsibilities will include:
We are seeking highly motivated individuals who have recently completed or are about to complete a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline. A strong academic record and a genuine passion for data and technology are essential. Familiarity with programming languages like Python or R, and an understanding of basic statistical concepts are required. While prior professional experience is not mandatory, any relevant project work, internships, or personal data projects will be highly regarded. Excellent analytical, problem-solving, and communication skills are crucial for success in this role. You should be eager to learn, adaptable, and possess strong teamwork abilities.
This is an unparalleled opportunity for bright graduates to gain invaluable experience in data science within a dynamic, remote environment. If you are passionate about uncovering insights from data and eager to develop your skills in a supportive setting, we encourage you to apply.
As a Graduate Trainee, you will be exposed to various aspects of data science, including data collection, cleaning, analysis, visualization, and predictive modeling. You will work closely with experienced data scientists, learning to apply statistical methods and machine learning algorithms to extract valuable insights from complex datasets. The program emphasizes practical application, allowing you to develop a strong foundation in data science principles and tools.
Key responsibilities will include:
- 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.
We are seeking highly motivated individuals who have recently completed or are about to complete a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Economics, or a related discipline. A strong academic record and a genuine passion for data and technology are essential. Familiarity with programming languages like Python or R, and an understanding of basic statistical concepts are required. While prior professional experience is not mandatory, any relevant project work, internships, or personal data projects will be highly regarded. Excellent analytical, problem-solving, and communication skills are crucial for success in this role. You should be eager to learn, adaptable, and possess strong teamwork abilities.
This is an unparalleled opportunity for bright graduates to gain invaluable experience in data science within a dynamic, remote environment. If you are passionate about uncovering insights from data and eager to develop your skills in a supportive setting, we encourage you to apply.
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Advanced Apprentice - Data Science
G2 1 DU Glasgow, Scotland
£18000 annum (appr
WhatJobs
Posted 11 days ago
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Job Description
Our client, a forward-thinking data analytics firm situated in the heart of **Glasgow, Scotland**, is offering a unique and exciting opportunity for an ambitious individual to embark on a career as an Advanced Apprentice in Data Science. This is a structured, on-the-job training program designed to equip you with the essential skills and knowledge to excel in the field of data analysis and interpretation. You will work alongside experienced data scientists, contributing to real-world projects while pursuing a recognized qualification.
This apprenticeship program includes:
This apprenticeship provides a fantastic pathway into a high-demand career, offering hands-on experience and professional development from day one.
This apprenticeship program includes:
- 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.
This apprenticeship provides a fantastic pathway into a high-demand career, offering hands-on experience and professional development from day one.
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Data Science Graduate Analyst
G1 2UA Glasgow, Scotland
£25000 Annually
WhatJobs
Posted 16 days ago
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Job Description
Our client is a leading innovative technology firm seeking bright, enthusiastic graduates to join their dynamic team as Data Science Graduate Analysts. This is an exceptional opportunity for individuals eager to launch their careers in data science and analytics within a supportive and challenging environment. Located in the vibrant city of **Glasgow, Scotland, UK**, this hybrid role offers a blend of in-office collaboration and remote flexibility, providing a well-rounded professional development experience.
Program Overview and Responsibilities:
Program Overview and Responsibilities:
- 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.
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3
Graduate Data Scientist, Predictive Analytics
EH1 2PB Edinburgh, Scotland
£25000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a pioneering financial technology firm, is seeking ambitious and bright Graduate Data Scientists to join their innovative team. This is a fully remote internship opportunity, providing invaluable hands-on experience in predictive analytics and machine learning. You will work alongside experienced data scientists, contributing to projects that drive strategic decision-making and enhance our client's cutting-edge financial products. This internship is designed to kickstart your career in data science within a dynamic and fast-paced industry.
Internship Responsibilities:
Ideal Candidate Profile:
Internship Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Collaborate with senior data scientists to develop and implement predictive models using machine learning techniques.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Contribute to the evaluation and validation of model performance.
- Assist in the creation of visualizations and reports to communicate findings to stakeholders.
- Learn and apply various statistical and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
- Participate in team meetings, brainstorming sessions, and knowledge-sharing activities.
- Gain practical experience with data science tools and programming languages such as Python and R.
- Document methodologies, code, and results clearly and concisely.
- Support ongoing data-related projects and ad-hoc analytical requests.
Ideal Candidate Profile:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of fundamental statistical concepts and machine learning principles.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Effective written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and contribute to a team setting.
- Interest in financial markets and fintech is a plus.
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4
Senior Remote Agronomist - Data Science
EH1 2AA Edinburgh, Scotland
£55000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client, a pioneering agricultural technology company, is seeking a highly skilled Senior Remote Agronomist with a strong focus on Data Science to join their fully remote team. This role is critical in leveraging vast agricultural datasets to drive innovation, improve crop yields, and promote sustainable farming practices globally. You will work from your home office, collaborating with a distributed team of agronomists, data scientists, and software engineers to develop cutting-edge solutions for modern agriculture. The ideal candidate will possess a deep understanding of agronomy, combined with advanced data analysis and statistical modeling skills.
Key Responsibilities:
Qualifications:
This is a unique remote opportunity for a talented individual to blend their passion for agriculture with advanced data science, contributing to the future of sustainable and efficient farming. The role offers significant impact, professional growth, and the flexibility of remote work.
Key Responsibilities:
- 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.
Qualifications:
- 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.
This is a unique remote opportunity for a talented individual to blend their passion for agriculture with advanced data science, contributing to the future of sustainable and efficient farming. The role offers significant impact, professional growth, and the flexibility of remote work.
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5
Graduate Scheme - Data Science & Analytics
EH1 Edinburgh, Scotland
£30000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a leading financial services firm, is excited to launch its prestigious Graduate Scheme in Data Science & Analytics, based in Edinburgh, Scotland, UK . This is a 12-month intensive program designed for high-calibre graduates seeking to kickstart their careers in a dynamic and data-driven environment. The scheme operates on a hybrid model, offering a blend of in-office learning and collaboration with remote working flexibility. Participants will gain invaluable hands-on experience, working on real-world projects, developing critical analytical skills, and contributing to key business decisions through the power of data.
Program Highlights:
Ideal Candidate Profile:
Program Highlights:
- 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.
Ideal Candidate Profile:
- 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.
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Senior Lecturer in Data Science
G1 1AB Glasgow, Scotland
£50000 annum (depe
WhatJobs
Posted 11 days ago
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Job Description
Our client, a leading academic institution in Glasgow, Scotland, UK , is seeking an accomplished Senior Lecturer to join their esteemed School of Computing and Digital Technologies. This academic leadership role is ideal for an individual with a strong research profile and a passion for teaching and mentoring students in the dynamic field of Data Science. You will contribute significantly to the curriculum development, research output, and academic reputation of the department.
As a Senior Lecturer, you will be expected to deliver high-quality teaching at both undergraduate and postgraduate levels, supervise student research projects, and lead innovative research in areas such as machine learning, artificial intelligence, big data analytics, and statistical modelling. You will also play a key role in attracting research funding, publishing in leading academic journals, and engaging with industry partners to foster collaborative opportunities. A commitment to fostering an inclusive and stimulating learning environment is essential.
Key Responsibilities:
As a Senior Lecturer, you will be expected to deliver high-quality teaching at both undergraduate and postgraduate levels, supervise student research projects, and lead innovative research in areas such as machine learning, artificial intelligence, big data analytics, and statistical modelling. You will also play a key role in attracting research funding, publishing in leading academic journals, and engaging with industry partners to foster collaborative opportunities. A commitment to fostering an inclusive and stimulating learning environment is essential.
Key Responsibilities:
- Deliver engaging and informative lectures and tutorials on Data Science modules across various academic levels.
- Develop and update course materials, syllabi, and assessment strategies to reflect current industry trends and research advancements.
- Conduct independent and collaborative research, leading to publications in high-impact peer-reviewed journals and conferences.
- Secure external research grants and funding to support research activities.
- Supervise undergraduate, Master's, and PhD student research projects.
- Mentor and provide academic guidance to students.
- Contribute to the strategic development and management of the Data Science programme.
- Engage in academic citizenship, including committee work and departmental administration.
- Foster collaborations with industry partners and other academic institutions.
- Promote the use of innovative teaching methodologies and technologies.
- A PhD in Data Science, Computer Science, Statistics, Mathematics, or a closely related quantitative field.
- A strong publication record in relevant, high-quality academic venues.
- Proven experience in teaching and curriculum development at the university level, with excellent pedagogical skills.
- Demonstrated ability to attract research funding and manage research projects.
- Expertise in one or more key areas of Data Science, such as machine learning, deep learning, statistical modelling, big data technologies, or data visualisation.
- Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to work effectively in a collaborative academic environment.
- Experience with hybrid or online teaching methodologies is advantageous.
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7
Graduate Trainee Programme - Data Science
G1 1TT Glasgow, Scotland
£30000 annum (pro-
WhatJobs
Posted 15 days ago
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Job Description
Our client is excited to launch a comprehensive, fully remote Graduate Trainee Programme focused on Data Science, offering an exceptional opportunity for ambitious graduates to kickstart their careers. This program is designed for individuals eager to develop their skills in a supportive, learning-centric environment, with the flexibility to work from anywhere in the UK. Over the course of the program, trainees will gain hands-on experience in various aspects of data science, including data collection, cleaning, analysis, machine learning, and data visualization. You will work on real-world projects, collaborating with experienced data scientists and contributing to key business initiatives. The curriculum is structured to provide a strong foundation in theoretical concepts and practical applications, ensuring you build a robust skill set. We provide extensive training, mentorship, and exposure to industry-standard tools and technologies. The program emphasizes learning through doing, encouraging trainees to take ownership of tasks and develop innovative solutions. Successful completion of the program may lead to full-time employment opportunities within our client's data science teams. This remote-first role requires strong communication skills, a proactive learning attitude, and the ability to work effectively as part of a distributed team. You should possess a keen analytical mind, a passion for problem-solving, and a solid understanding of mathematical and statistical principles. While prior experience in data science is beneficial, it is not mandatory; we are primarily looking for potential, enthusiasm, and a willingness to learn. This is an unparalleled chance to immerse yourself in the world of data and shape a rewarding career path.
Programme Outline:
Programme Outline:
- Comprehensive training in data science methodologies and tools.
- Hands-on experience with real-world data projects.
- Exposure to machine learning, statistical modeling, and data visualization techniques.
- Mentorship from experienced data science professionals.
- Development of essential professional skills, including communication and collaboration.
- Opportunity to contribute to impactful business solutions.
- Networking opportunities with industry experts.
- Potential for full-time employment upon successful completion.
- Recent graduate with a degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
- Strong understanding of mathematical and statistical concepts.
- Familiarity with programming languages such as Python or R is advantageous.
- Excellent analytical and problem-solving skills.
- Proactive attitude and a strong desire to learn and grow.
- Ability to work independently and effectively in a remote team environment.
- Good communication and interpersonal skills.
- Eligibility to work in the UK.
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8
Senior Lecturer in Data Science
G1 1QE Glasgow, Scotland
£45000 Annually
WhatJobs
Posted 16 days ago
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Job Description
Our client, a prestigious academic institution, is seeking a highly qualified and experienced Senior Lecturer in Data Science to join their thriving faculty. This role is central to the delivery of our cutting-edge Data Science programmes, offering students a rigorous and engaging learning experience. You will be responsible for lecturing on a range of Data Science topics, developing course materials, and contributing to curriculum design and enhancement. Your expertise will be vital in areas such as statistical modeling, machine learning, data visualization, big data technologies, and data ethics. Beyond teaching, you will be expected to conduct independent research, publish scholarly work in leading academic journals, and supervise postgraduate students undertaking research projects. Active participation in departmental academic life, including committee work and student support, is also a key aspect of the role. The successful candidate will possess a strong academic record, a passion for teaching and mentoring, and a demonstrated ability to inspire students. A PhD in Data Science, Computer Science, Statistics, or a closely related field is essential. Significant lecturing experience at the university level, along with a portfolio of high-impact research publications, is required. Excellent communication, presentation, and interpersonal skills are paramount for engaging effectively with students, colleagues, and external academic bodies. This is an on-campus position requiring regular attendance at our Glasgow, Scotland, UK campus for teaching, research, and administrative duties.
Key Responsibilities:
Key Responsibilities:
- Deliver high-quality lectures and tutorials in Data Science at undergraduate and postgraduate levels.
- Develop and update course content, ensuring relevance and alignment with industry trends.
- Conduct independent research in Data Science and publish findings in peer-reviewed journals.
- Supervise Master's and PhD students in their research projects.
- Contribute to curriculum development and program reviews.
- Engage in academic administration, including committee membership and student advising.
- Foster a stimulating learning environment and promote student engagement.
- Collaborate with colleagues on research initiatives and teaching innovations.
- Represent the department at academic conferences and events.
- PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- A minimum of 5 years of lecturing experience in higher education.
- A strong track record of research output, evidenced by publications in reputable journals.
- Expertise in core Data Science areas (e.g., Machine Learning, Statistical Inference, Data Mining, Big Data Analytics).
- Experience with programming languages such as Python or R and relevant data science libraries.
- Excellent teaching, presentation, and communication skills.
- Ability to supervise postgraduate research.
- Commitment to academic excellence and student development.
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