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 Birmingham employer: Netcompany
Contact Detail:
Netcompany Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research common data science manager interview questions and practice your answers. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Show off your projects! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. We love seeing real-world applications of your skills, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else. Don’t miss out!
We think you need these skills to ace Data Science Manager in Birmingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for 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!
Showcase Your Projects: Include specific examples of projects where you've applied advanced data science techniques. Whether it's a machine learning model you built or a complex dataset you analysed, we love seeing real-world applications of your skills!
Communicate Clearly: Remember, you'll be working with both technical and non-technical stakeholders. Use clear and concise language in your application to demonstrate your ability to communicate complex ideas effectively. We appreciate clarity just as much as technical prowess!
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 shows you're keen on joining our team at Netcompany!
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 where you've applied advanced data science techniques to solve complex problems. Think about how you’ve used algorithms like regression or decision trees in past projects. This will demonstrate your ability to contribute strategically to data science initiatives.
✨Communicate Clearly and Effectively
Since you'll be working closely with clients and non-technical teams, practice explaining technical concepts in simple terms. Prepare a few examples of how you've successfully communicated findings in the past. This will highlight your strong communication skills, which are crucial for this role.
✨Emphasise Your Mentorship Experience
If you have experience mentoring junior data scientists or engineers, be sure to mention it. Discuss how you fostered a culture of technical excellence and knowledge sharing. This aligns perfectly with the company’s values and shows that you can contribute to team development.