Data Scientist

**Role**: Data Scientist

**Reporting to**: Manager, Data Science

**Location**: Bengaluru, India

**Background Who we are**:
We are Data Tech, a programme that comprises a number of agile, cross-functional teams between London, Sofia and Bangalore. We grow data platforms, build front-end data products and create predictive models for News UK. We focus on the capture, management and utilization of customer, clickstream and content data, in order to drive growth and increase revenue for our users. Our users include the newsroom editors, marketing, advertising and product teams associated with our world-leading digital and print publications. From operations and infrastructure support to data technology and software development, we are committed to finding creative solutions to deliver essential news around the globe. We believe that technology will always be a tool that’s driven by human intent.

**About the role**

Who we are looking for

Data Tech, the home of Data Science, is a growth area in News UK and we strongly believe in giving our people a clear direction of travel with lots of autonomy to innovate. We want to attract people who have a passion for data and the bravery to take risks with bold ideas. We are building self-organized, highly motivated teams who have the curiosity to ask questions of everything and the optimism to take on exciting challenges.

We have a strong team of data scientists, our work is highly sought-after, and our impact on the business is tremendous. We are looking for a Data Scientist who has strong analytical skills in the areas of Machine Learning, Statistics and Optimization and has the ability to work in an agile environment and while seeing the big picture takes attention to detail. Keeping up with the fast-changing world of technology takes someone who recognizes that. You know

what’s happening in big data and you’re ready to influence what’s next.

Duties & Responsibilities
- Firm sense of accountability and ownership for end-to-end project lifecycle
- Build ML models that generate or lead to the answer to some of the most challenging questions we have
- Research, design and prototype robust and scalable models based on machine learning, data mining, and statistical modelling to answer key business problems
- Partner with the business to deliver high impact. Find impactful problem and provide end to end solutions
- Evangelize your insights through compelling storytelling that inspires action
- Design machine learning systems, and oversee the platform on which the solutions would be deployed
- Ensure data integrity through - data quality, validation, governance and transparency
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Keep abreast of the latest developments in the field by continuous learning and proactively champion promising new methods relevant to the problems at hand
- Deliver production quality, modular, reproducible code in Python
- Create data visualizations to visualize raw data and analytics insights to demonstrate efficacy of the solution
- A go-getter attitude with a drive for execution
- Collaborate within the Data Science group to review and refine your work to ensure the highest quality

Skills & Competencies
- Minimum 2+ years of working experience as a hands-on data scientist is must; ideally in B2C digital products
- Advanced Degree in the field of Computer Science, Statistics, Mathematics, Data Science or equivalent discipline
- Strong programming experience with Python
- Great analytical and problem solving skills, with a strong bias for quality and engineering excellence
- Prior experience with applied statistics, experimental design, machine learning and Git version control is a must
- Experience with efficiently querying big datasets using SQL
- Experience or willingness to learn tools to create data pipelines using Airflow
- Experience with experimenting on different modelling techniques (supervised and unsupervised learning) and develop data visualization for data stories
- Able to recognize business needs and ability to communicate with multiple stakeholders including PMs, business owners and operational teams
- Able to work independently and collaboratively in an interdisciplinary team environment
- Experience working with Agile methodologies (SCRUM)
- Experience in working on distributed or cloud computing platforms such as Google Cloud is a strong plus
- Able to build and deploy AI models into production with focus on scaling, monitoring and performance
- A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science
- Lover of math with a strong understanding of statistical methods
- Solid understanding of statistics, probability, optimization, ML and DL

Keywords:
Techniques - supervised and unsupervised learning; clustering; regression; decision trees; random forest; boosting; neural networks; natural