Applied Data Scientist

Role Overview: As an Applied Data Scientist at dunnhumby, you will have the opportunity to apply your expertise in distilling complex problems into compelling insights. You will utilize a combination of machine learning and human creativity to deliver effective solutions for clients. Working within the advanced data science team, you will collaborate with intelligent colleagues to challenge and rewrite the rules of the industry. Key Responsibilities: - Investigate, develop, implement, and deploy a variety of complex applications and components - Utilize analytical techniques and technology to connect your work directly to the customer experience - Apply statistical modeling and data science principles to solve client problems - Demonstrate logical thinking and problem-solving skills - Strong communication skills to effectively convey insights and recommendations Qualifications Required: - Degree in Statistics, Maths, Physics, Economics, or a similar field - Proficiency in programming languages such as Python and SQL - 2 to 5 years of relevant experience - Experience and passion for making a tangible impact through data-driven solutions Additional Company Details: dunnhumby is dedicated to defying expectations by utilizing big data, deep expertise, and AI-driven platforms to transform the human experience in meaningful ways. The company's client portfolio includes renowned brands like Tesco, Coca-Cola, Procter & Gamble, and PepsiCo. At dunnhumby, you can expect a comprehensive rewards package, personal flexibility, and a commitment to diversity and inclusion through various employee networks. Flexible Working Approach: dunnhumby values work-life balance and offers flexible working options to help employees balance their career with personal commitments and interests outside of work. The company believes that employees perform their best when they have a supportive environment that allows for agility and work-life balance. If flexible working is important to you, feel free to discuss agile working opportunities during the hiring process with your recruiter. Role Overview: As an Applied Data Scientist at dunnhumby, you will have the opportunity to apply your expertise in distilling complex problems into compelling insights. You will utilize a combination of machine learning and human creativity to deliver effective solutions for clients. Working within the advanced data science team, you will collaborate with intelligent colleagues to challenge and rewrite the rules of the industry. Key Responsibilities: - Investigate, develop, implement, and deploy a variety of complex applications and components - Utilize analytical techniques and technology to connect your work directly to the customer experience - Apply statistical modeling and data science principles to solve client problems - Demonstrate logical thinking and problem-solving skills - Strong communication skills to effectively convey insights and recommendations Qualifications Required: - Degree in Statistics, Maths, Physics, Economics, or a similar field - Proficiency in programming languages such as Python and SQL - 2 to 5 years of relevant experience - Experience and passion for making a tangible impact through data-driven solutions Additional Company Details: dunnhumby is dedicated to defying expectations by utilizing big data, deep expertise, and AI-driven platforms to transform the human experience in meaningful ways. The company's client portfolio includes renowned brands like Tesco, Coca-Cola, Procter & Gamble, and PepsiCo. At dunnhumby, you can expect a comprehensive rewards package, personal flexibility, and a commitment to diversity and inclusion through various employee networks. Flexible Working Approach: dunnhumby values work-life balance and offers flexible working options to help employees balance their career with personal commitments and interests outside of work. The company believes that employees perform their best when they have a supportive environment that allows for agility and work-life balance. If flexible working is important to you, feel free to discuss agile working opportunities during the hiring process with your recruiter.