Data Scientist London, England
Job description
Permanent
London or Mumbai (Hybrid)
Collinson Group is a global leader in driving loyalty and engagement for many of the world’s largest companies. Predominantly through the provision of travel related benefits within a market leading digital travel ecosystem. The group offers a unique blend of industry and sector specialists who together provide market-leading experience in delivering products and services across four core capabilities: Loyalty, Lifestyle Benefits and Insurance.
The group provides unrivalled insight and expertise around affluent consumers and frequent travellers, creating and delivering products and services now accessible to over 400m end consumers.
We have more than 25 years’ experience, with 28 global locations, servicing over 800 clients in 170 countries, employing 1,800 people.
We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.
Key clients include: Visa, Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.
Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.
Never short of ambition, the success of our business is delivered through the diverse and talented team of over 1,800 colleagues globally.
The Role
We are seeking a highly skilled Data Scientist to join our growing Data Science team. The successful candidate will play a critical role in delivering innovative and customer-centric data solutions, with a focus on hands-on execution and quick delivery of reports and insights.
The Data Scientist will be expected to provide analytical and statistical expertise across Collinson group. Stakeholders will include both internal and external clients from across the Collinson group’s global footprint. This role will also be responsible for bringing in the innovation into the team, hence bringing innovation for the entire Collinson group using Machine learning, Deep Learning technology and other framework. Data Scientist will also be responsible for the mentoring junior members of the team and help them get up to speed in short amount of time. A key part of this role is to help Data team to manage the growing team better. This role will have include a lot of interaction with the stakeholder and external client, so Data scientist needs to be both technical and people based.
Key responsibilities:
The Data Scientist will work across a number of divisions working with datasets from marketing, ecommerce and financial services within the Collinson group in addition to data sourced from clients in external organisations.
The Data Scientist will work on all aspects of the design, development and delivery of data products including problem definition, data acquisition, data exploration and visualization, feature engineering, experimenting with algorithms, machine learning, evaluating and comparing metrics, deploying models, iteratively improving the solution and building the tools for this process etc. You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and potentially various formats including tabular, audio, text and time series
Day to Day Activities will include:
- Working on all stages of projects (planning, development, quality control, production)
- Design, build and ongoing maintenance of our strategic platform and tooling.
- Converting proof-of-concept projects to enterprise solutions
- Exploring customer, transactional, pricing, text based data
- Producing machine learning models including supervised and unsupervised methods
- Producing reports and presentations to communicate findings to stakeholders
- Rapidly prototyping proof-of-concept idea
- Managing our infrastructure in AWS
- Being instrumental in architecting and executing solutions
Knowledge skills and experience:
- Knowledge of common data science techniques including data preparation, exploration and visualisation
- Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimization, information retrieval
- Ability to produce workflows using classification, clustering, regression, and dimensionality reduction
- Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains
Core Skills
- Python & Pyspark
- Data science and analytical background
- Interacting with technical and non-technical stakeholders
- Machine learning and exploratory data analysis
Desirable Technical Skills
- Data Science and Engineering: PySpark, PySpark ML, Python, Hive, Postgres, Sk-learn
- Machine Learning: Collaborative filtering, NLP, TF-IDF, Decision trees, Regression, Clustering
- Deep Learning and artificial Intelligence : MLP, CNN, DCNN, RNN, R-CNN, GANS
- AWS: EC2, RDS, EMR, Kinesis, S3
- Cloud Providers: AWS (primary), Azure
- Visualization & UI: Tableau, Plotly, Python Flask, Zeppelin
Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.
We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Act smarter, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.
In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
If you need any extra support throughout the interview process, then please email us at [email protected]
We also have our very own Beacons (Domestic Abuse Advisors) supporting within each of our global offices. Our Beacons will be your point of contact if you or someone you know needs support.
