30 Churchill Place, E14 5EU, London
Consulting & Data Analytics Firm • 11-50 Employees
Hiring on JOB TODAY since October, 2025
Oakmont Ventures is a consulting and data analytics firm helping businesses and startups turn data into strategy, drive growth, and make informed, measurable decisions for lasting success.
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Are you looking to kick-start a new career as a Data Scientist? We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.
Cyber Armed Security are seeking a skilled Penetration Tester to join their Cyber Security team. In this role, you will be responsible for simulating real-world attacks against our clients’ systems, applications, and infrastructure to identify vulnerabilities and provide actionable remediation advice. You will play a critical role in strengthening security postures, protecting sensitive data, and helping organisations meet compliance and regulatory requirements, the candidate must be highly self-motivated and confident to work efficiently alone. Key Responsibilities · Conduct penetration testing across networks, web applications, APIs, mobile applications, and cloud environments. · Perform vulnerability assessments and exploit weaknesses in a controlled, ethical manner. · Develop and deliver detailed technical reports and clear executive summaries for clients. · Provide expert advice on remediation strategies and security best practices. · Stay up to date with the latest exploits, attack vectors, tools, and methodologies. · Support Red Team and Purple Team engagements where required. · Collaborate with internal security teams, developers, and client stakeholders to improve overall security posture. Essential Skills & Experience · Minimum of 2 years of proven experience as a Penetration Tester, Ethical Hacker, or in a similar cyber security role. · Manual testing ability · Strong knowledge of penetration testing methodologies (e.g. OWASP, NIST). · Proficiency with common testing tools (e.g. Burp Suite, Metasploit, Nmap, Nessus, Kali Linux). · Solid understanding of networks, operating systems, web technologies, and cloud platforms (AWS, Azure, GCP). · Ability to write and deliver clear, professional reports. · Relevant industry certifications (e.g. OSCP, CREST CRT, CEH, GIAC GPEN) highly desirable. Desirable Skills · Experience with scripting/programming languages (Python, PowerShell, Bash, etc.). · Exposure to Red Team operations and threat emulation. · Familiarity with security compliance standards (ISO 27001, PCI-DSS, Cyber Essentials Plus). · Strong client-facing skills and ability to explain technical findings in non-technical terms.
DotWatcher is the home of ultra-distance, self-supported bike racing. Grown from a desire to share the ultra-cycling world, DotWatcher covers stories and insights from bikepacking races around the globe. Working with experts, we provide high-quality race commentary, visuals and advice to the burgeoning bikepacking race community. DotWatcher is run by a team of keen ultra-cyclists and adventure racers, riding and exploring throughout the seasons. DotWatcher is looking for a highly motivated Junior Full stack developer .net core 8.0 C#, SQL, Restful API, WebApp to join the London team. This position reports to the Technical Lead. The role requires an experienced candidate with the skills and desire to develop themselves as a key part of the digital team in this fast-paced, digitally native sports content site. An outstanding ability to multitask, be flexible in approach and the capacity to take on a range of responsibilities are key. You will be working on an entry system for ultra racing. Responsibilities: • Design, develop and maintain software applications and UI using C#, .net core 8., • Ensure the best possible performance, reliability, and quality of DotWatcher., • Collaborate on solutions designs and related code., • Participate in the software development life cycle from planning to deployment., • Write clean, maintainable code., • Troubleshoot and resolve technical issues., • Implement and maintain security measures., • Develop new functionalities., • Implement good UI/UX based on needs., • Growing your skills and provide your insight of improvement/optimisation., • Communicate with the team to understand the needs. Experience: • Proven experience and knowledge C#, .net core of 3+ years., • Understanding of dependency injection, • Experienced with Microsoft .NET technology stack: C# / .NET, .NET Core 8, ASP.Net, Web APIs., • Experience with code management tools like Git., • JavaScript, TypeScript, jQuery, SCSS/CSS, HTML., • Understanding of SQL language, stored procedure, Entity Framework, • Familiarity with RESTful APIs and modern authorisation mechanisms such as JSON Web Token., • Security understanding., • Strong problem-solving skills and attention to detail., • Motivated, willing to learn/improve/optimise code and perseverant., • Good communication skills and ability to speak of technical concept/solution to a non-technical person. Essential Skills: • Excellent attention to detail with a thorough approach to your work., • Strong organisation, time management and documentation habits., • Proactive in approach and a strong advocate for continuous improvement., • A desire to understand the wider context and impact of your work on the business and its systems., • Open to both learning and sharing knowledge and exploring new technologies., • Comfortable in communicating with non-technical persons and used to simplifying IT language without losing meaning., • Ability to work within a team and translate requirements into technical solutions., • Strike a balance between working with autonomy vs. seeking support when tackling new tasks. Additional requirements: • Interest, energy and flexibility to work in the fast-paced environment of a growing business., • Keen interest in ultra-racing or endurance sports is a bonus., • Candidate must be authorised to work in the UK. What We Offer: • Flexibility to work around your racing schedule, • Access to race and event organisers including discounted race entry, • Generous industry discounts through our sponsor brands and friends of DotWatcher, • Flexible Wednesday mornings for bike riding or other sports and wellness activities, • Remote working up to 2 days. Can increase based on the person., • Working with experienced developers to hone in skills, • Opportunities to work with the content team on race commentary and features if desired DotWatcher is committed to operating in a fair and socially responsible manner, this includes our stance on ensuring diversity, equity and inclusion, both in cycling and in the workplace. Based in: London Job type: Full time Remuneration: Depending on experience Contact: Mathieu Please send an up-to-date CV and short cover letter (500 words max.) and some links/visuals of your work if possible
We are seeking a motivated and detail-oriented Data Analyst to join our dynamic, high-performing team. This role is ideal for early-career professionals with 1–2 years of experience or strong academic foundations in data analytics or related fields. You will be responsible for interpreting data, generating insights, and developing data products to drive strategic decision-making. The successful candidate will demonstrate strong technical capabilities, analytical acumen, and the ability to translate complex datasets into actionable business intelligence. Key Responsibilities Extract, clean, and analyse large datasets to uncover meaningful trends and patterns. Design, build, and maintain dashboards and reports using Power BI and Tableau. Collaborate with stakeholders to capture data requirements and deliver insights aligned with business objectives. Automate recurring processes using Excel Macros, VBA, or Bash scripting to improve efficiency. Develop and maintain databases using Microsoft SQL Server and Oracle, ensuring data integrity and accessibility. Support ad hoc analysis and reporting needs across departments. Document workflows, data dictionaries, and procedures to ensure data governance and clarity. Participate in the Software Development Life Cycle (SDLC), contributing to requirements gathering, testing, and implementation. Perform advanced statistical analysis and data manipulation using Python or R (desirable). Contribute to the design and optimisation of database schemas and data pipelines. Required Experience & Skills 1–2 years’ experience in a Data Analyst or similar role, or strong academic background in a quantitative discipline (e.g., Mathematics, Computer Science, Economics). Proficient in SQL for querying, joining, and transforming data. Advanced Excel skills, including pivot tables, lookups, and data wrangling techniques. Proficient with data visualisation tools such as Power BI or Tableau. Excellent analytical and critical thinking skills with high attention to detail. Strong verbal and written communication skills — able to explain data-driven findings to non-technical stakeholders. Highly collaborative team player with a proactive mindset and willingness to learn. Desirable Hands-on exposure to Python or R for data modelling, automation, or analytics. Familiarity with cloud platforms, ETL tools, or workflow orchestration frameworks. Ability to self-manage workload and prioritise tasks in line with changing business needs.