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UK-Kettering Job Profile
Exciting Opportunity with the Data Team Overview Join our dynamic data team during this thrilling period of growth. As key contributors in shaping the future of a FTSE 100 company, we are proud to have developed a cutting-edge Automated Valuation Model (AVM). We are seeking a skilled Data Scientist to enhance our machine learning (ML), analysis, modelling, and data processing capabilities. Your insights and contributions to this high-profile project will be prominently recognized and valued. Responsibilities Implement existing methodologies to create robust house price indices. Collaborate with the Principal Data Scientist to improve valuation performance in niche geographic areas. Advance our AVM models to ensure they are at the forefront of innovation. Design and roll out new valuation models and techniques leveraging millions of unique data points. Analyze and interpret model results, delivering actionable insights to stakeholders. Skills Required Outstanding communication skills, both verbal and written. Proven experience thriving in small, agile teams or SMEs (Small to Medium Enterprises). A proactive "can-do" attitude with a commitment to supporting fellow team members. Ability to excel under pressure and consistently meet deadlines. Essential Qualifications At least 2 years of experience as a Data Scientist Deep understanding of machine learning techniques and algorithms. Expertise in analyzing, processing, and interpreting extensive datasets. Proficiency in PostgreSQL. Strong expertise in Python programming. Desirable Qualifications Experience working with property data. Knowledge of geospatial analysis. Familiarity with text manipulation and extraction techniques. Reward & Benefits Career progression opportunities Holiday Purchase Scheme Share schemes (SAYE & BAYE) Enhanced maternity and paternity HSF, subsidised health fund Private healthcare, Critical illness cover and Health assessments via salary sacrifice Life assurance Wellbeing support - subsidised gym membership - cycle to work scheme - health assured employee assistance scheme Dental insurance - subsidised Discounted mortgage advice, estate agency fees and home surveys Cycle to work scheme Charitable giving scheme About us The UK’s number one residential surveying brand, e.surv Chartered Surveyors and Walker Fraser Steele have been providing property risk expertise and residential surveying services for over 35 years. We are the trusted partner for a variety of stakeholders ranging from high street mortgage lenders and building societies to national landlords and equity release brands. Every 12 seconds, one of our 600 RICS accredited surveyors completes a property inspection from Land’s End to John O’Groats and across Northern Ireland. Apply If you feel you match our requirements and are looking for your next career chapter, or for a confidential discussion on the full details of this role please contact
Alka Tarafdar at 07751808563
alternatively apply with your CV and covering letter for a quick response. Be a part of our journey to shape the future of our company! Join us and make your voice heard!
#J-18808-Ljbffr
UK-Kettering Job Profile
Exciting Opportunity with the Data Team Overview Join our dynamic data team during this thrilling period of growth. As key contributors in shaping the future of a FTSE 100 company, we are proud to have developed a cutting-edge Automated Valuation Model (AVM). We are seeking a skilled Data Scientist to enhance our machine learning (ML), analysis, modelling, and data processing capabilities. Your insights and contributions to this high-profile project will be prominently recognized and valued. Responsibilities Implement existing methodologies to create robust house price indices. Collaborate with the Principal Data Scientist to improve valuation performance in niche geographic areas. Advance our AVM models to ensure they are at the forefront of innovation. Design and roll out new valuation models and techniques leveraging millions of unique data points. Analyze and interpret model results, delivering actionable insights to stakeholders. Skills Required Outstanding communication skills, both verbal and written. Proven experience thriving in small, agile teams or SMEs (Small to Medium Enterprises). A proactive "can-do" attitude with a commitment to supporting fellow team members. Ability to excel under pressure and consistently meet deadlines. Essential Qualifications At least 2 years of experience as a Data Scientist Deep understanding of machine learning techniques and algorithms. Expertise in analyzing, processing, and interpreting extensive datasets. Proficiency in PostgreSQL. Strong expertise in Python programming. Desirable Qualifications Experience working with property data. Knowledge of geospatial analysis. Familiarity with text manipulation and extraction techniques. Reward & Benefits Career progression opportunities Holiday Purchase Scheme Share schemes (SAYE & BAYE) Enhanced maternity and paternity HSF, subsidised health fund Private healthcare, Critical illness cover and Health assessments via salary sacrifice Life assurance Wellbeing support - subsidised gym membership - cycle to work scheme - health assured employee assistance scheme Dental insurance - subsidised Discounted mortgage advice, estate agency fees and home surveys Cycle to work scheme Charitable giving scheme About us The UK’s number one residential surveying brand, e.surv Chartered Surveyors and Walker Fraser Steele have been providing property risk expertise and residential surveying services for over 35 years. We are the trusted partner for a variety of stakeholders ranging from high street mortgage lenders and building societies to national landlords and equity release brands. Every 12 seconds, one of our 600 RICS accredited surveyors completes a property inspection from Land’s End to John O’Groats and across Northern Ireland. Apply If you feel you match our requirements and are looking for your next career chapter, or for a confidential discussion on the full details of this role please contact
Alka Tarafdar at 07751808563
alternatively apply with your CV and covering letter for a quick response. Be a part of our journey to shape the future of our company! Join us and make your voice heard!
#J-18808-Ljbffr
