At a Glance
- Tasks: Lead data science projects, from concept to implementation, using advanced AI techniques.
- Company: Join Netcompany, a fast-growing tech innovator disrupting the marketplace.
- Benefits: Enjoy hybrid working, 25 days holiday, private healthcare, and professional development support.
- Other info: Be part of a diverse team in a culture that values agility and innovation.
- Why this job: Make a strategic impact in AI while mentoring the next generation of data scientists.
- Qualifications: Experience with programming languages and machine learning libraries is essential.
The predicted salary is between 60000 - 80000 £ per year.
Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionising the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting.
Operating across both public and private sectors, we offer a comprehensive range of services from application development and seamless cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs.
Job Description
- End-to-End Solution Ownership: Own the technical solution lifecycle for data science and AI initiatives, from shaping requirements and defining the solution approach through to implementation support.
- Advanced Modelling & Analysis: Apply advanced data science and machine learning techniques to solve complex business problems.
- Production & MLOps: Design, build, and deploy robust, scalable, and maintainable machine learning models into production environments. Design and implement MLOps pipelines.
- Strategic Impact: Contribute to the strategic direction of data science and AI initiatives, identifying new opportunities for innovation and help to shape best practices.
- Stakeholder Collaboration: Work closely with clients and internal teams to understand their needs, translate requirements into technical solutions, and communicate findings to non-technical audiences in a clear and compelling manner.
- Ethical AI & Governance: Ensure the ethical and responsible application of AI/ML models.
- Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence.
- Research & Innovation: Research and evaluate new machine learning algorithms, statistical techniques, and emerging AI technologies.
Qualifications
- Experience with programming languages such as C#, Python, R, and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
- Implementation knowledge of algorithms and techniques like Regression, decision trees, Random Forest, XGBoost, K means, anomaly detection, Bayesian theory, Time Series Forecasting etc.
- Understanding of evaluation and explanation techniques in machine learning, e.g. overfitting, bias, cross validation, LIME, SHAP, etc.
- Experience with data science tools such as Hadoop, Spark, and Hive.
- Experience with data visualization tools such as Tableau and Power BI.
- Experience with working with large and complex datasets.
- Knowledge of Public Sector: Understanding of the challenges and opportunities facing public sector organisations.
- Experience working with public sector data.
- Knowledge of public sector regulations and compliance requirements.
Desired Skills:
- Must be eligible for Security Clearance.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Commitment to continuous learning and development.
Additional Information
- Benefits include Hybrid working model with some flexible working.
- 25 days’ holiday • Private Medical Health care via Vitality.
- Pension contribution, Life Assurance.
- Professional certifications supported as part of learning and development.
- A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.
- Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another.
At Netcompany, we pride ourselves on our entrepreneurial spirit and our capacity for doing things differently. Our culture is built on fostering low bureaucracy, emphasizing high agility and promoting flexibility, enabling everyone to contribute their best.
Our journey began in the UK with the acquisition of Hunter Macdonald in 2017. As one of Northern Europe's most accomplished IT companies, we have expanded our headcount globally to 7400+ employees and have offices in UK, Denmark, Norway, Poland, Holland and Vietnam. We are a Disability Confident Employer and are committed to creating an inclusive and diverse environment that celebrates every individual. Our recruitment processes are based on individual merit.
If you require any reasonable adjustments or additional support during the interview process, please email Kelly at [email protected] for assistance.
Data Science Manager in London employer: Netcompany
Contact Detail:
Netcompany Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Netcompany. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex problems and how you can contribute to Netcompany's innovative projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Netcompany.
We think you need these skills to ace Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Manager role. Highlight your experience with programming languages and machine learning techniques that match the job description. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our innovative projects. Keep it engaging and relevant to the role at Netcompany.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Netcompany
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and machine learning libraries mentioned in the job description. Brush up on C#, Python, R, SQL, and tools like TensorFlow and PyTorch. Being able to discuss your experience with these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've applied advanced data science techniques to solve complex business problems. Think about the algorithms you've implemented, like regression or decision trees, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly with Non-Techies
Since you'll be working closely with clients and internal teams, practice explaining technical concepts in simple terms. Prepare a few examples where you successfully translated complex data findings into actionable insights for non-technical audiences. This will demonstrate your ability to bridge the gap between tech and business.
✨Emphasise Ethical AI Practices
Familiarise yourself with ethical considerations in AI and machine learning. Be prepared to discuss how you ensure responsible application of models and your understanding of governance in this area. This shows that you’re not just technically skilled but also aware of the broader implications of your work.