Data Scientist (Hyderabad, India)

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 a keen 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 Company’s data solutions. You will be an active 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. 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 Data Scientist to join 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 Kline’s 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 Essential Skills: Knowledge of analytical and data science techniques Coding background and proficiency Excel formula and functionality experience A logical and problem solving mindset Excellent English verbal and written communication skills Additional Skills: Experience with any of the following is a plus: Python or other similar coding background SQL Server and database management AI and Machine Learning competency Databricks or similar code management platform Experience with Power BI, Azure Data Factory or Azure Analysis Services SSIS, SSAS, Multidimensional Cubes, DAX or MDX