head of data science

<div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>
<br><div><ul><li><b>Education: </b>A bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master&rsquo;s would be preferred.
</li><li><b>Experience:
</b><ul><li>8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
</li><li>Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
</li><li>Significant experience working within the banking or financial services industry is highly advantageous.
</li></ul></li><li><b>Technical Skills:
</b><ul><li>Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
</li><li>Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
</li><li>Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
</li><li>In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
</li></ul></li><li><b>Soft Skills:
</b><ul><li>Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
</li><li>Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
</li><li>A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.</li></ul></li></ul></div>

Lead Machine Learning and AI

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Director, Data Scientist<p></p>
Director, Data Science
<br>
Overview<br>
<br>
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.<br>
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.<br>
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.<br>
<br>
Your Role and Responsibilities:<br>
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul><br>
All about you<br>
<br>
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul><br>
Good to Have<br>
<br>
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Director, Data Scientist

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Director of Data Science (ML)
 </strong>
 leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.
 <br/>
 <br/>
 You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership
  </li>
  <li>
   Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals.
  </li>
  <li>
   Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI.
  </li>
  <li>
   Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation.
  </li>
  <li>
   Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities.
  </li>
  <li>
   Team Leadership &amp; Development
  </li>
  <li>
   Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains.
  </li>
  <li>
   Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate.
  </li>
  <li>
   Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact.
  </li>
  <li>
   Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization.
  </li>
  <li>
   Technical &amp; Operational Excellence
  </li>
  <li>
   Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring.
  </li>
  <li>
   Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale.
  </li>
  <li>
   Define and oversee the technical AI roadmap and direction for the team.
  </li>
  <li>
   Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies.
  </li>
  <li>
   Champion MLOps and automation to reduce experimentation-to-production cycle time.
  </li>
  <li>
   Product Impact &amp; Delivery
  </li>
  <li>
   Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes.
  </li>
  <li>
   Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems).
  </li>
  <li>
   Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting.
  </li>
  <li>
   Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision.
  </li>
  <li>
   Cross-Functional Influence
  </li>
  <li>
   Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions.
  </li>
  <li>
   Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy.
  </li>
  <li>
   Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams.
  </li>
  <li>
   Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection).
  </li>
  <li>
   Advanced degree in Computer Science, Machine Learning, or related field.
  </li>
  <li>
   Demonstrated ability to translate complex ML concepts into strategic business impact.
  </li>
  <li>
   Strong stakeholder management and communication skills across technical and non-technical domains.
  </li>
  <li>
   Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;ll Provide You
  <br/>
  <br/>
 </strong>
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 <br/>
 <br/>
 <ul>
  <li>
   Work and learn from great minds by joining a community of inspiring colleagues.
  </li>
  <li>
   Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
  </li>
  <li>
   Explore new opportunities to learn and grow every day.
  </li>
  <li>
   Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
  </li>
  <li>
   Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
  </li>
 </ul>
</div>


Director of Data Science

Huff & Puff Burger Restaurant

<p>Job Title: IT Manager &ndash; Food &amp; Beverage Industry</p><p>Department: Information Technology</p><p>Head Office Abu Dhabi (Branches all over UAE)</p><p>Job Summary:</p><p>We are looking for an experienced IT Manager to manage and support all IT systems across our Food &amp; Beverage operations. The role focuses on ensuring smooth functioning of POS systems, networks, back-office systems, and IT support across outlets while maintaining data security and operational efficiency.</p><p>Key Responsibilities:</p><ul><li>Manage IT infrastructure for head office and all F&amp;B outlets</li><li>Ensure uninterrupted operation of POS systems, ordering platforms, and payment systems</li><li>Oversee networks, servers, CCTV, Wi-Fi, and hardware across outlets</li><li>Provide technical support to restaurant and operations teams</li><li>Coordinate with POS vendors, delivery platform partners, and IT service providers</li><li>Ensure data security, system backups, and disaster recovery plans</li><li>Monitor IT assets, licenses, and vendor contracts</li><li>Support new outlet openings, system installations, and upgrades</li><li>Develop and enforce IT policies and SOPs for F&amp;B operations</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s degree in IT, Computer Science, or a related field</li><li>Proven experience as an IT Manager or Senior IT role (preferably in F&amp;B or retail)</li><li>Strong knowledge of POS systems, networking, and system administration</li><li>Experience supporting multi-branch operations based on the requirements</li><li>Ability to work under pressure in a fast-paced environment</li><li>Strong troubleshooting, communication, and leadership skills</li></ul><p>How to Apply:</p><p>Interested candidates may send their CV to hr.manager@huffpuffburger.com</p><p>Job Type: Full-time</p>

IT Manager

BGTS

<div>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We are seeking a
  <strong>
   Head of Software Development
  </strong>
  with a strong
  <strong>
   Computer Engineering background
  </strong>
  and proven expertise in
  <strong>
   Java-based banking and data solutions
  </strong>
  . The ideal candidate will combine deep technical acumen with
  <strong>
   leadership
  </strong>
  and
  <strong>
   pre-sales experience
  </strong>
  , bringing a solid track record from
  <strong>
   multinational or international organizations
  </strong>
  .
 </p>
 <p>
  This role is best suited for professionals who have transitioned into
  <strong>
   business or managerial positions
  </strong>
  in recent years but maintain a strong
  <strong>
   technical foundation
  </strong>
  and understanding of evolving technologies&mdash;particularly those intersecting with
  <strong>
   AI and data-driven banking
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Provide strategic technical direction to customers and mentorship to engineering and delivery teams.
  </li>
  <li>
   Provide active technical pre-sales support including solution design, technical presentations and proposal/project support
  </li>
  <li>
   Collaborate with stakeholders to define architecture, integration, and performance strategies for enterprise-scale systems.
  </li>
  <li>
   Lead and oversee the delivery of banking and data technology projects, ensuring alignment with business and client objectives.
  </li>
  <li>
   Experienced and/or deeply knowledgeable on emerging technologies&mdash;especially within
   <strong>
    AI, data, and fintech ecosystems
   </strong>
   &mdash;to drive innovation and business growth.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in
   <strong>
    Computer Engineering, Computer Science, or a related field
   </strong>
   .
  </li>
  <li>
   <strong>
    15&ndash;20 years of total experience
   </strong>
   , including at least
   <strong>
    5 years in multinational or international companies
   </strong>
   .
  </li>
  <li>
   Strong technical foundation in
   <strong>
    Java
   </strong>
   ,
   <strong>
    data architectures
   </strong>
   , and
   <strong>
    banking systems
   </strong>
   .
  </li>
  <li>
   Demonstrated
   <strong>
    technical management
   </strong>
   and
   <strong>
    pre-sales
   </strong>
   experience.
  </li>
  <li>
   Exposure to
   <strong>
    AI-driven solutions
   </strong>
   or an interest in AI applications within financial services is highly desirable.
  </li>
  <li>
   Excellent communication, stakeholder management, and leadership skills.
  </li>
 </ul>
 <p>
 </p>
</div>


Head of Software Development

Seagate Technology

<div><div><div><h2 class="jobSectionHeader"><b>About our group:</b></h2></div><p></p><div><div><p><br>
The Data Storage and Memory Devices Group within the Seagate Research Group (SRG) is primarily responsible for performing experiments and simulations to guide the design the future of hard-disk drive based, and other, advanced data storage and memory technologies.</p></div><p></p><div><p><br>
The work performed by this team directly informs the Company&rsquo;s product roadmaps. Modeling and simulation are used to evaluate designs up to 10 years in the future, as well as elucidate experimentally observed phenomena. Machine learning models are also being developed to predict product reliability and inform future materials and design directions.</p></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
About the role - you will:</b></h2></div><p></p><div><div><ul><li><p><br>
Develop AI based surrogate models for fast design simulation of physics-based models.</p></li></ul></div><div><ul><li><p>
Create novel validation techniques to aid in improving confidence in AI tools.</p></li></ul></div><div><ul><li><p>
Explore the literature to propose novel machine learning architectures and processes.</p></li></ul></div><div><ul><li><p>
Develop state-of-the-art AI/ML and data science solutions to solve/optimize technical problems in advanced technology areas</p></li></ul></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
About you:</b></h2></div><p></p><div><div><ul><li><p><br>
Passionate about data science and physics modeling.</p></li></ul></div><div><ul><li><p>
Developer that desires their tools to be used in practice with high confidence.</p></li></ul></div><div><ul><li><p>
Self-motivated, independent, and a team player with strong communication and interpersonal skills</p></li></ul></div><div><ul><li><p>
Innovative with a growth mindset, willing to learn new concepts and comfortable working outside your comfort zone</p></li></ul></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Your experience includes:</b></h2></div><p></p><div><div><div><ul><li><p><br>
Background experience in numerically solving partial differential equations using finite difference and/or element methods.</p></li></ul></div></div><div><div><ul><li><p>
Programming experience in Python</p></li></ul></div><div><ul><li><p>
Good understanding and experience in machine learning and deep learning, e.g., DNN, CNN, Transformer, Reinforcement Learning, Active Learning, GAN, etc.</p></li></ul></div><div><ul><li><p>
Some familiarity with DeepONet, FNO, and/or other techniques using machine learning for surrogate modeling.</p></li></ul></div><div><ul><li><p>
Pursuing a PhD degree in Materials Science, Chemistry, Physics, Computer Engineering, Electrical engineering, Computer Science, Data Science, Math, or other related areas. Must be enrolled in Fall 2026 classes at a US university.</p></li></ul></div></div></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Location:</b></h2></div><p></p><div><p><br>
Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site caf&eacute;, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound. #internship</p><p></p><p><br>
The estimated base wage range for this position is $22-$43/hr. The individual base wage is based on work location and additional factors, including job-related skills, experience, and relevant education or training.</p><p></p><p><br>
Seagate offers comprehensive benefits to its eligible Interns, including, but not limited to, medical, dental, vision, and participation in the employee stock purchase plan. Seagate also offers Interns 12 paid holidays and a minimum of 48 hours of paid sick leave. The benefits for this position are based on a 24 to 40-hour-per-week schedule for a full calendar year and may differ depending on work location and tenure with the Company</p><p></p><p><b><br>
Location</b>: Normandale, United States<br>
<b>Travel</b>: None</p></div></div></div>

Intern - AI Design Discovery - Summer 2026

MORRIS SINCLAIR RECRUITMENT LTD

<ul> <li>Remote roles for award-winning specialist agricultural software company.</li><li>Delivering sustainable farming data-driven technology solutions.</li><li>Degree educated with proven track record as C#/.Net Back-End Developer.</li></ul> <strong>Remote-Friendly Software Development Opportunity in Agricultural Technology</strong>Join an award-winning agricultural analytics software company at the forefront of sustainable technology. We're seeking exceptional Back-End Developers who can transform data into impactful solutions that enhance food production, farm economics, and environmental resilience.<strong>Position Highlights:</strong><ul> <li>Remote Work</li><li>London based head office</li><li>Cutting-Edge Agricultural Technology Platform</li><li>Opportunity to Drive Sustainability through Innovative Software Solutions</li></ul> <strong>Candidate Assessment Process:</strong><ul> <li>LeetCode-Style Coding Challenge</li><li>Designed to evaluate algorithmic problem-solving skills</li><li>Focus on efficient, optimised solutions</li><li>Challenges will test: <ul> <li>Data Structures</li><li>Algorithm Design</li><li>Computational Thinking</li><li>Performance Optimisation</li></ul> </li></ul> <strong>Ideal Candidate Profile:</strong><strong>Academic and Professional Requirements:</strong><ul> <li>Minimum Qualification: Degree/Masters/PhD in Computing, Data Science, or Equivalent</li><li>Proven Commercial Experience as a Back-End Microsoft Developer</li><li>Strong Academic Background with Demonstrable Achievements</li><li>Proven ability to excel in time-constrained, algorithmic problem-solving</li></ul> <strong>Technical Expertise:</strong><ul> <li>Advanced Proficiency in: <ul> <li>C# and .NET Framework</li><li>Microsoft Azure Cloud Platform</li><li>SQL and SQL Server</li><li>Complex Data-Driven Software Development</li><li>Strong Algorithm and Data Structure Knowledge</li></ul> </li></ul> <strong>Preferred Background:</strong><ul> <li>Experience in FinTech or Similar Structured Data Environments</li><li>Demonstrated Ability to Scale Applications for Large User Base</li><li>Previous success in technical coding assessments</li></ul> <strong>Personal Attributes:</strong><ul> <li>Exceptional Attention to Detail</li><li>Strong Collaborative and Communication Skills</li><li>Creative Problem-Solving Approach</li><li>Quick Analytical Thinking</li><li>Ability to perform under time pressure</li><li>Passion for Technological Innovation in Sustainability</li></ul> <strong>What We Offer:</strong><ul> <li>Work with Respected Professionals</li><li>Cutting-Edge Technology Solutions</li><li>Meaningful Impact on Agricultural Sustainability</li><li>Opportunity to Develop Market-Leading Software</li><li>On top of the very competitive salary all employees are included in the company share scheme</li></ul>

Senior .Net Developer

Search 10000+ Head of data science jobs near you this January. New roles added regularly across leading industries. Apply today.