Senior Data Scientist

Amber Labs · Other US Location

Company

Amber Labs

Location

Other US Location

Type

Full Time

Job Description

Senior Data Scientist

12 month FTC initially 

Location: Hybrid - Weybridge/London

Security Clearance: Must be eligible for SC Clearance

The Company:
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.

The Role:

We are looking for a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, you will play a vital role in in discovering the value in data that others can’t. You will be exploring cutting edge ML techniques to discover patterns and predictions that change the way we think about our business. You will help lead complex and diverse projects to leverage Data Science techniques which will result in measurable commercial benefit.

As a Data Scientist, you:
Must have experience in mix media modeling (MMM)
Contribute to all aspects of the Data Science Project Lifecycle
Can coordinate and manage competing priorities across a portfolio of projects
Own and define the key performance indicators (KPIs) and diagnostics to measure performance against business goals
Use Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigour and risk
Are committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Are experienced in implementing change initiatives and leading change.
Will conceptualize, formulate, prototype and implement algorithms to capture customer behaviour and solve business problems
Proven extensive experience developing and implementing Machine Learning algorithms from large data sets which have been structured and unstructured.
Have an in depth understanding of modelling techniques such as deep learning, forecasting, optimisation, simulation and reinforced learning
Good programming experience with (Python, R, SQL)
Experience using machine learning frameworks such as TensorFlow, PyTorch, Spark, MS Azure

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.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:
Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
Prohibiting all forms off harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all
By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities

    Apply Now

    Date Posted

    12/16/2024

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