Lead Data Scientist

Here at Kline our amazing Innovation team has grown rapidly from a small three person set up to a thriving, twelve strong multi-functional team in the space of just three years. We are now looking for top talent to take our capabilities in developing digitized, data-oriented products to the next level. So, if you are an experienced Data Scientist, have a curious mindset and are interested in working in the Personal Care, Energy and Chemicals market research space then please reach out.

What does life in Kline look like? We offer a rewarding and inclusive culture where each colleague can grow, thrive, express ideas and support our mission for innovating Kline and Companys data solutions. You will be the critical member in the successful design and delivery of our next-gen cloud-based market research products.

Kline is aiming to establish a highly effective Data Science Centre of Excellence, based in Hyderabad, who will spearhead the next phase of growth. This team will be responsible for the enhancement of existing solutions and develop new, world-class products. We are looking for an experienced Data Scientist to lead this team, growing the skills of the junior members as well as actively develop new and improved data science technique and processes that effectively deliver value to our clients.

Here is a little more about the role. The role will be varied, solving new problems from:

• Designing new data science and analytical solutions to real-world business challenges
• Wrangling and cleaning big datasets ready for use in data science code
• Coding effective algorithm scripts that analyse and organise unstructured data
• Working on a combination of client and internal stakeholder use cases
• Developing AI solutions which increase efficiency and offer enhanced user capabilities

Now here is the official job description: Kline and Company is currently seeking a Lead Data Scientist to lead its Analytics Centre of Excellence, part of the wider Digital innovation team. The successful candidate will profoundly collaborate across the organization, with technical experts in the Digital Innovation team, our key Technology partners and domain subject matter experts globally.

Please apply if you have a degree in Computing, Mathematics or Science based subject, alternatively experienced professionals with proven success in the realm of Data Science and Analytics should also apply.

Day-to-Day activities and goals:

• Responsibility for Klines QI Analytics service desk, delivering analytics and data science tasks for real-life business scenarios
• Building predictive models which size and forecast market growth across different segments
• Developing social media, web traffic and consumer search workflows which track ingredient, competitor and consumer trends
• Working across big datasets, effectively implementing fit for purpose data cleaning and wrangling processes
• Designing automated architecture, connecting data pipelines across multiple software and platforms, including web scraping activities
• Leveraging AI, ranging from chat functionality which extracts insight from big datasets or attributing metadata based on product information
• Combining multiple data sources to produce greater detail and segmentation
• Utilising numerous data science techniques, such as NLP, clustering, decision tree algorithms, anomaly analytics and Bayesian recursion to name but a few
• Input into the UX design of the dashboard consumption layer
• Teach, grow and oversee the two junior data scientists in the team
• Incorporate best practice into all Klines solutions and constantly review and implement cutting edge techniques from the world of data science
• Design, build and review project goals at all stages of the product development lifecycle

Essential Skills:

• 5-10 years in data science, or similar role
• Advanced knowledge of analytical and data science techniques
• Data cleaning, wrangling and mapping
• Extensive coding experience, Python essential
• SQL Server and database management
• Databricks or similar code management platform expertise
• Azure or similar full stack experience
• Excel formula and functionality
• A logical and problem solving mindset
• Excellent English verbal and written communication skills

Additional Skills:

Experience with any of the following is a plus:

• AI and Machine Learning
• Experience with Power BI
• Market research or data management industry experience a bonus
• SSIS, SSAS, Multidimensional Cubes, DAX or MDX