At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
Our clients have the opportunity to earn R&D credits that can be used towards our areas of expertise: Data, Governance, and Cloud Engineering, allowing us to drive customer-focused innovation. Our work extends across both the public and private sectors, providing our colleagues with a diverse and interesting landscape of experience.
Amber Labs was founded on three key principles:
1. A people-first internal culture, with diverse investments and exciting opportunities for our team, and a partnership structure that ensures everyone has a chance to share in the success of the company.
2. Constant iteration to identify opportunities to develop artifacts, accelerators, and automation solutions that allow for rapid deployment of highly technical cloud or on-premises solutions for our clients.
3. Consistent investment in our ADM (Amber Labs Delivery Methodology, underpinned by Agile Methodology) to ensure maximum velocity, quality, and value.
ROLE: Data Scientist / Analytics Expert
LOCATION: Remote
CLEARANCE: Must be a UK Citizen OR have been in the UK for 5 years
Responsibilities:
- Collaborate with cross-functional teams at Amber Labs to understand and update demand forecast models based on audit actions.
- Utilise expertise in time series forecasting to enhance the accuracy and reliability of forecasting models.
- Leverage advanced analytics techniques, including but not limited to XG Boost and Neural Networks, to optimize predictive modeling.
- Stay current with industry best practices and implement innovative approaches to improve forecasting methodologies.
Qualifications:
- Bachelor’s or advanced degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
- Proven experience in time series forecasting is a minimum requirement.
- Demonstrated expertise in demand forecasting and predictive analytics.
- Familiarity with advanced machine learning techniques, including XG Boost and Neural Networks.
- Strong analytical and problem-solving skills with a keen attention to detail.
Skills and Experience:
- Recent project experience in time series forecasting is essential.
- Previous exposure to demand forecasting and predictive analytics methodologies.
- Proficiency in utilizing advanced analytics tools and programming languages (e.g., Python, R).
- Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Additional Preferences:
- Experience in the energy or utility sector is desirable but not mandatory.
- A passion for staying abreast of emerging trends and advancements in data science and analytics.
Benefits:
- Join a rapidly expanding startup where personal growth is a part of our DNA.
- Benefit from a flexible work environment focused on deliverable outcomes.
- Receive private medical insurance through Aviva.
- Enjoy the benefits of a company pension plan through Nest.
- 25 days of annual leave plus UK bank holidays.
- Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
- Participate in a generous employee referral program.
- A highly collaborative and collegial environment with opportunities for career advancement.
- Be encouraged to take bold steps and embrace a mindset of experimentation.
- Choose your preferred device, PC or Mac
mathematics statistics xgboost Data Science Python Computer Science neural-network R