Lead Data Scientist

Adthena is an award-winning search intelligence platform with the unique combination of patented, AI-driven technology, and a supportive team of paid search experts, to help brands, marketers, and agencies dominate their competitive landscapes.
We provide customers around the world with a clear view of the competitive landscape, helping them optimize their paid search spend to increase ROI, inform cross-channel strategies, and save time.
Our Whole Market View technology creates a full market map of a client’s entire search landscape; Smart Monitor automatically detects threats and opportunities every day; and our exclusive Local View solution provides the location-based strategic insights that brands, marketers, and agencies need to optimize their spend at local level.
Adthena offers four industry-exclusive solutions that give our customers an unrivaled view of the competitive landscape: Market Entry, Campaign Optimization, Strategic Advantage, and Brand Protection.
Backed by Updata Partners, Adthena was founded in 2012 and now works with 300+ clients across a wide range of industries including finance, retail, gaming, automotive, and technology. Brand customers include Bupa, Citibank, L’Oreal, M&S, Nespresso, Qantas, Volkswagen, and Volvo. Agency customers include Dentsu, GroupM, and OMD.
In 2022 alone, Adthena won 11 major search industry awards, including Best Search Software Tool at the US Search Awards and Best Software Innovation in both the US and the UK for our groundbreaking Local View product. Along with client Staysure, Adthena won Best use of Search in  Finance PPC at the Global Search Awards and Best use of Data PPC (Silver) at the UK Search Awards. For more information please visit: www.adthena.com.
About the Data Science Team
Adthena is a market leader in developing competitive intelligence for search. Our award winning technology includes complex ETL and machine learning solutions. We have published authors in our engineering and data science team who contribute some of the major machine learning and distributed data technologies. we are a friendly, passionate group of engineers making a career out of building great software for our customers.
Our data science tech stack includes a variety of tools and technologies that are used across the entire machine learning lifecycle, from data ingestion and processing to model training and deployment. Some of the key technologies and tools we use include: Dask/Ray/Polars/Spark for data processing, Airflow/Luigi for workflow management, PyTorch/Flair/Fastai/AutoGluon for model distribution training, BentoML/MLFlow for model experiment, monitoring and management.  
Our data science and engineering culture is underpinned by sharing knowledge, coaching and growing together. You will have the opportunity to explore / innovate new technologies, mentor data scientists and lead initiatives. You will enjoy this role if you love creating new machine learning models, writing code, learning cutting edge new technologies, and solving problems and winning as a team.
Reporting to: Director of Data Science & Analytics

Responsibilities

• Design, prototype and test machine learning and deep learning algorithms to solve real-world problems in the highly challenging environment of search advertising.
• Collaborate with our product and engineering teams to build and integrate successful solutions.
• Facilitate thought leadership and best practices on Data Science across the business.
• Understand and translate business requirements from non-technical stakeholders
• Present technical solutions to them to the wider business.

Required Qualifications

• Bachelor’s degree or higher in STEM fields.
• Strong commercial experience with a strong track record of shipping successful end to end AI//DL/ML products.
• Experience leading a data science team, and being responsible for all aspects of data science projects, including development and deployment.
• Expert in Python with a strong understanding of object-oriented programming principles
• Industry experience machine learning and deep learning methods for natural language process or inference and computational advertising related applications
• Experience with PyTorch and related deep learning toolings such as Flair, Fastai, Optuna, Horovod and etc.
• Experience with model management and serving in machine learning such as BentoML, Cortex, TF Serving and etc.
• Experience with cloud environments (e.g. AWS, GCP)

Preferred Qualifications

• Experience with design and implementation of industrial leading MLOPs infrastructure and best practices would be preferred 
• Familiar with the usage of 3rd parties data (e.g. Google Analytics, Google Adwords, Omniture Analytics, Adobe Campaign etc.) would be beneficial
• Track record of industry recognition which could be in the form of high impact research outputs, contribution to high impact open source projects or performance in open source competitions such as Kaggle would be a bonus

Why Join Adthena?

• Work on a multi-award winning product in a position where you are being valued and feel you can make your mark
• Remote-Friendly
• Untracked annual leave
• Flexible working environment
• Receive stock options. Our employees do incredible work, so as we grow everyone shares the rewards.
• Family care package (6 months fully paid maternity & 2 months paternity cover)
• Private Medical Insurance (Vitality health)
• Home Office Stipend (Up to £200)
• Training & career development pathway
• Monthly Hackathons
• Great culture- helping all employees to learn, grow and develop their skillset
• Join a company with an extremely fast growth trajectory. (We’ve now got three offices globally and we don’t plan to stop there!)
• Free pair of trainers when you join (you choose what ones you want)
• Lots of social activities to join in; Regular off-sites, bake-offs, office table tennis tournaments and much more!
• Strong culture values: Deliver Remarkable Quality, Smart and Always Improving, Freedom with Responsibility, and Get Shit Done!