Data Scientist jobs at Deluxe Corporation - 852 jobs

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do-from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master's degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. CompensationThe base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

General information Career area Technology Work Location(s) 601 S. Tryon Street, NC Remote? No Ref # 21581 Posted Date 01-29-26 Working time Full time Ally and Your Career Ally Financial only succeeds when its people do - and that's more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You're constantly evolving, so shouldn't your opportunities be, too? Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need. The Opportunity In this role, you will build, test, and deploy machine learning, generative AI, and agent-based solutions end to end. You will develop GenAI workflows such as prompt-driven systems, tool-calling agents, and evaluation pipelines, while also owning Responsible AI execution across the lifecycle. This includes identifying and resolving issues related to data usage, bias, model risk, evaluation quality, and release readiness. You will partner closely with business, engineering, and risk teams to turn Responsible AI requirements into practical development and validation standards, ensuring AI solutions are production-ready, compliant, and scalable. At this time, Ally will not sponsor a new applicant for employment authorization for this position. The Work Itself Lead experimentation initiatives, leveraging A/B testing, and novel AI approaches to continuously improve model performance and business outcomes. Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment. Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems. Incorporate sophisticated algorithms, experimental design, and emerging AI methodologies to solve real-world challenges and push the boundaries of innovation. Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Required: 5+ years of experience in machine learning and data science, with demonstrated impact in applied, real-world systems. Bachelor's degree in a quantitative or technical field (Computer Science, Engineering, Mathematics, Statistics, or similar). Strong coding skills in Python, with experience building maintainable, production-grade ML/AI systems. Experience working in cloud data and ML platforms such as AWS, Snowflake, SageMaker, or equivalent environments. Experience influencing technical direction beyond individual projects, including setting best practices, mentoring others, and driving alignment across teams. Ability to proactively identify risks and gaps in AI systems (e.g., reliability, bias, safety, explainability, monitoring) and drive pragmatic solutions at scale. Nice-to-Haves: Graduate degree (MS or PhD) in a relevant field. Hands-on GenAI, agent, and ML engineering experience, including frameworks and tools such as LangChain, Hugging Face, vector databases, or similar ecosystems. Experience with Responsible AI, Model Risk Management, or AI governance in regulated environments. Experience helping build or mature Responsible AI practices. Proven ability to work with multiple partners and drive consensus on technical direction, standards, and trade-offs across diverse stakeholders. #LI-Hybrid How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including: Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level). Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access. Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially. Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts. Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers program and other employee discount programs. Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity. To view more detailed information about Ally's Total Rewards, please visit this link: ****************************************************************************** Who We Are: Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit ************* Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at *****************. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation. Base Pay Range: $110000 - $180000 USDAn individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. Incentive Compensation: This position is eligible to participate in our annual incentive plan.

Remote Job Must Have Technical/Functional Skills: * 7-10 years hands-on with Python for machine learning - especially XGBoost, scikit-learn and NumPy/pandas. * Proficiency in PySpark for reading, transforming and analyzing large datasets stored in parquet. * Experience in validating or reverse engineering ML models from business logic or legacy implementation. * Exposure to Java-based ML libraries or understanding of how internals map across languages. * Hands-on with Python frameworks for meta-modelling libraries. Roles & Responsibilities: * Interpret data transformation logic and validate feature pipelines from existing Java implementations. * Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks. * Collaborate with model validation teams to review performance, consistency and explain metric deviations if any. * Design unit tests and validation scenarios to support each migrated model's readiness for signoff. * Ingest model input data from parquet files using PySpark and pandas to reproduce training and scoring workflows. * Conduct EDA and spot-check row-level predictions where needed Collaborate with the customer team to * understand the logic, structure and parameters of the Java-based XGBoost models. Salary :130,000-145,000/Per Annum

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance. The Data Scientist in this role will be primarily embedded within Wealthfront's Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications. The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning. A key desired trait for this role is an ability to collaboratively create experiments based on clients' hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.Responsibilities Suggest and analyze Lifecycle Marketing campaigns rooted in clients' delight and friction. Employ and exemplify rigor in mathematical analyses and sound design principles in software development. Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives. Turn initiatives into projects with clear rationale, candidate approaches and milestones. Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings. Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations. Absorb and articulate the Marketing strategy and project rationales to Data Scientists. Requirements Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist. Proficiency in Python and SQL A strong foundation in practical Statistics including the use of causal inference. Strong mathematical and software engineering skills. Fluency in long and short form oral and written communication. Ability to sharpen or reframe project requirements through effective collaboration. Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills. Experience in a Marketing facing role preferred, but not required Estimated annual salary range: $164,000 - $184,000 plus Equity and a discretionary bonus. Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more! About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money. We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including: • A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features. • A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions. • Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing-which we offer at industry-leading low costs and accessible minimums. Our award-winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings-and we're far from done. If you're inspired to help us reshape the financial industry as we create our next chapter, let's talk! For more information please visit ********************** are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please review our candidate privacy notice. Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn't provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services-which are not FDIC insured-are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details. By “award-winning products”, please refer to *************************** for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.

Ameriprise Financial has an opportunity for a Data Scientist Manager to join the team! The individual in this role will play an integral role in supporting modeling and data analysis, campaign execution, and database needs for Marketing and Digital Analytics. They will also manage the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Key Responsibilities Identify, develop and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc. Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results. Consult and coordinate campaign execution for direct to client campaigns. Identify and execute targeting and optimization opportunities. Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge. Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed. Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Support multiple projects collaboratively. Demonstrate strong technical/problem solving skills. Required Qualifications Master degree or equivalent Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.) 3 - 5 years relevant experience required Knowledge of advanced statistical concepts and techniques; skilled in linear algebra. Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment. Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively in a collaborative team environment. Preferred Qualifications Ph.D 3+ years of experience in statistical modeling and the collating processes necessary to create modeling data. Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, Dataiku, Amazon SageMaker etc.. Self-starter with the ability to work effectively in a matrix environment while (at times) working autonomously. Proven flexibility and adaptability in effectively driving results in an environment of changing priorities. Knowledge of credit risk analytics. Background in banking - lending, credit card and mortgage. Background in financial services. About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $107,000- $147,100/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business CSIRM Information Management

Must Have Technical/Functional Skills Primary: Artificial intelligence, ML, LLM Secondary: Data science, Python, NLP, Agile tools Experience: 10+ Roles & Responsibilities Experience with NLP, deep learning, or time series analysis. Experience deploying models to production environments. Knowledge of regulatory requirements and compliance in banking and finance. Familiarity with MLOps practices and tools. Experience with Agile methodology and tools (JIRA or Rally) Proven experience as a Data Scientist in Banking or a similar domain Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. Strong knowledge of statistics, machine learning, and data mining techniques. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with Big Data Platforms (Hadoop). Familiarity with SQL and working with relational databases. Excellent problem-solving, communication, and collaboration skills. Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Analyze large financial datasets to extract insights and support business decisions. Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations through reports, dashboards, and presentations. Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $120,000-$135,000 a year

⦁ Defines , creates and enhances database models for operational and reporting needs for specified domain. ⦁ Create , build, design database schemas to enable high throughput OLTP transactions ⦁ Code stored procs , packages, triggers using standard database patterns and ensure optimal performance and a secure codebase. ⦁ Troubleshoot and identify areas of improvement and recommend solutions to fix observed or potential issues with design, performance or security. ⦁ Ensures adherence to Enterprise data movement , quality and accountability standards in technology. ⦁ Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space. ⦁ Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value. Challenges data and information integrity. Works as a business partner that provides decision support to various LOB unit leaders. ⦁ Leads discussion in the ongoing development and operations of both operational data models and business intelligence architecture that enables fast real time access to data as well as fact-based decision making and ad hoc analysis and insight generation. ⦁ Operational Data Store modeling, design and development ⦁ Design and prototype new analyses, reports, applications and systems ⦁ Enhancing old processes and defining new ones ⦁ Data mining and producing novel reports for management ⦁ Works closely with Line of Business Client to develop and enhance SQL data base solution Salary Range- $125,000-$130,000 a year

Must Have Technical/Functional Skills Technical Skills * Machine Learning (ML) techniques and algorithms * Hypothesis Testing and Statistical Analysis * Regression Analysis and Predictive Modeling * Natural Language Processing (NLP) * Programming in Python and/or R * SQL for data manipulation and querying * Experience with PyTorch and TensorFlow Functional Skills * Strong foundation in Mathematics and Statistics * Familiarity with Machine Learning product system design * Understanding of Large Language Models (LLMs) * Proficiency in model documentation and model governance Roles & Responsibilities * Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. * Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. * Present insights using data visualization techniques and communicate findings effectively. * Assess the accuracy and effectiveness of new data sources and data gathering techniques. * Develop processes and tools to monitor and analyze model performance. Salary Range- $95,000-$130,000 a year

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Must Have Technical/Functional Skills Primary Skill: Sr. Developer with strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. Experience: Minimum 8 years Roles & Responsibilities * Bachelor's or master's degree in computer science or related field. * The candidate must have strong technical background with 8+ years of IT experience. Sr. Developer with * strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. * Strong experience in Machine Learning, NLP, Deep Learning, Statistical Modeling, understanding of machine learning techniques and algorithms. * Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API's. Strong hands-on design and development experience in Python. * Experience with data visualization tools. * Worked on the Data analysis libraries like pandas · Experience in web API calls. * Automations experience. * Strong problem solving, analytical and interpersonal skills · Ability to work effectively in a team environment. * Strong written and oral communication skills. Should have the ability to clearly express ideas. * Experience working with Agile Methodology. TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $100,000 - $120,000 a year

Perform exploratory data analysis to identify trends, patterns, and anomalies for tier 0 applications/products. Develop and implement statistical models, machine learning algorithms, and data mining techniques for Service Management initiatives. Key Responsibilities Collect, clean, and preprocess structured and unstructured data from various sources. Develop and implement statistical models, machine learning algorithms, and data mining techniques. Perform exploratory data analysis to identify trends, patterns, and anomalies. Communicate findings through visualizations, dashboards, and reports. Collaborate with engineering, product, and business teams to deploy models and integrate data solutions. Monitor model performance and continuously improve accuracy and efficiency. Stay current with industry trends, tools, and best practices in data science and analytics. LI_DNI Required Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. 0-1 years of experience. Proficiency in programming languages such as Python or R. Strong knowledge of SQL and data manipulation tools. Understanding of data engineering concepts: ETL/ELT, data quality, logging, monitoring. Exposure to AWS CloudWatch, S3, Lambda, EC2. Understanding of infrastructure concepts such as compute, storage, networking, IAM. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Excellent problem-solving and communication skills. Preferred Qualifications Exposure to Snowflake and Iceberg. Comfortable with model validation, monitoring, and basic MLOps concepts. Ability to write scripts to automate reporting or operational tasks Experience with API integrations (REST, boto3 for AWS, etc.). Basic understanding of containerization (Docker) is a plus. About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Base Pay Salary The estimated base salary for this role is $71,300 - $96,000 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. Full-Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business TECH Technology

Must Have Technical/Functional Skills * Programming & Technologies: Proficient in Python, SQL, and R coding languages coupled with expertise in Domo, SAS, and web development languages. Adept in leveraging cloud technologies including AWS, Azure, and Hadoop ecosystems for scalable data solutions. * Advanced Modeling: Skilled in utilizing techniques like PCA, Lasso, and Elastic Net for feature selection, and deploying machine learning algorithms such as Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM for high-impact results. * Data Visualization & Data Storytelling: Adept at designing visually appealing data presentations and utilizing data storytelling techniques to effectively communicate insights. Proficient with Domo, Tableau, PowerBI, D3.js, and Matplotlib for creating data visualizations and dashboards. Experienced in transforming complex findings into actionable insights and narratives that resonate with diverse audiences. * Palantir & Skywise experience is a plus point Roles & Responsibilities * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. * Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib. * Communicate insights through compelling data storytelling for diverse stakeholders. * Collaborate with cross-functional teams to integrate data solutions into business processes. Salary Range-$100,000-$140,000 a year #LI-KR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Must Have Technical/Functional Skills Proficiency in Python, SQL, and R programming languages. Hands-on experience with Domo, SAS, and web development languages. Strong knowledge of cloud platforms (AWS, Azure) and big data ecosystems (Hadoop). Expertise in machine learning techniques and statistical modeling. Excellent data visualization and storytelling skills. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. Preferred Skills Experience with advanced analytics and big data tools. Familiarity with NLP, deep learning frameworks, and modern visualization libraries. Strong problem-solving and communication skills. Roles & Responsibilities * Design and implement predictive models and machine learning algorithms to solve business problems. * Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. * Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. * Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. * Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib. * Communicate insights through compelling data storytelling for diverse stakeholders. * Collaborate with cross-functional teams to integrate data solutions into business processes. Salary Range-$100,000-$125,000 a year #LI-KR3 TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

We are seeking a highly capable Data Scientist with approximately three years of experience to accelerate our journey toward data-driven wealth management. In this role, you will partner closely with advisors, investment professionals, and technology teams to unlock insights that enhance portfolio construction, client personalization, and operational performance. This position blends financial domain knowledge with advanced analytics and machine learning, offering an opportunity to influence the evolution of our data ecosystem and the future of our platform. This role can be located in St. Louis, MO; Boston, MA. Primary Responsibilities Analyze large, complex financial and client datasets to uncover trends, behavioral patterns, and investment signals. Design, validate, and operationalize predictive models to support asset allocation, risk assessment, and client segmentation strategies. Collaborate with business and financial stakeholders to translate strategic objectives into analytical approaches and data-driven solutions. Build and maintain scalable data pipelines and workflows, ensuring reliable data ingestion, transformation, and quality within Snowflake environments. Develop intuitive dashboards, visualizations, and reporting artifacts (Power BI, Tableau, or similar) to communicate insights and influence decision-making. Work closely with engineering teams to integrate analytical outputs and models directly into core wealth management systems and workflows. Maintain thorough documentation and uphold data governance, controls, and compliance standards aligned with financial regulations and industry best practices. Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Finance, or a related quantitative field. 3+ years of hands-on experience in Data Science, ideally within financial services, wealth management, investment analytics, or related sectors. Strong programming experience in Python or R for statistical modeling, machine learning, and data manipulation. Proficiency in SQL and demonstrated experience with Snowflake for data warehousing and analytical workloads. Solid understanding of financial instruments, portfolio construction, performance metrics, and risk modeling concepts. Experience with data visualization and business intelligence platforms (e.g., Tableau, Power BI, Looker). Familiarity with cloud environments (AWS, Azure, or GCP) and modern data stack components. Exceptional communication and stakeholder engagement skills, with the ability to convey complex concepts to non-technical audiences. Experience with OpenAI function calling, MCP servers, or custom agent integration Experience with Retrieval-Augmented Generation (RAG) and vector database expertise Experience working with modern LLMs (OpenAI, Anthropic, Google) This is an exempt position. The annualized base pay range for this role is expected to be between $180,000-$240,000. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate's experience and education. Focus is a leading partnership of fiduciary wealth management and related financial services firms. Focus provides access to best practices, greater resources, and continuity planning for its affiliated advisory firms, which serve individuals, families, employers, and institutions with comprehensive financial services. Focus firms and their clients benefit from the solutions, synergies, scale, economics, and best practices offered by Focus to achieve their business objectives. For more information about Focus, please visit ******************************* The following language is for US based roles only For California Applicants: Information on your California privacy rights can be found here For Indiana Applicants: It is unlawful for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For Maryland Applicants: I UNDERSTAND THAT UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT OR CONTINUED EMPLOYMENT, THAT ANY INDIVIDUAL SUBMIT TO OR TAKE A POLYGRAP OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this shall be subject to criminal penalties and civil liability. For Montana Applicants: If hired, the employment relationship is governed by the Wrongful Discharge from Employment Act. Mont. Code Ann. Section 39-2-901. For Rhode Island Applicants: Focus is subject to Chapters 29-38 of Title 28 of the General Laws of Rhode Island and is therefore covered by the state's workers' compensation law. If you willfully provide false information about your ability to perform the essential functions of the job, with or without reasonable accommodations, you may be barred from filing a claim under the provisions of the Workers' Compensation Act of the State of Rhode Island if the false information is directly related to the personal injury that is the basis for the new claim for compensation. The Company complies fully with the Americans with Disabilities Act.

Must Have Technical/Functional Skills Experience: 3+ years of experience in AI, Machine Learning, or Data Science, with a strong preference for experience in a manufacturing or industrial setting. Technical Prowess: Proficiency in Python and its key ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong SQL skills for data querying and manipulation. Familiarity with data visualization tools (e.g., Power BI, Tableau). Basic understanding of MLOps concepts for model deployment and management. Domain Knowledge (Nice to have): Understanding of manufacturing processes, data sources (like MES, ERP), and common challenges (e.g., quality control, predictive maintenance, order backlog etc). Problem-Solving Skills: A curious mind and the ability to break down complex problems into manageable, data-driven solutions. Collaboration & Communication: Excellent communication skills to work effectively with diverse teams, from plant operators to senior leadership. Nice-to-Haves: Experience with cloud platforms (AWS, Azure, GCP). Knowledge of time-series analysis, anomaly detection, or optimization techniques. Roles & Responsibilities Groom AI/ML Use Cases: Collaborate with our manufacturing and business teams to pinpoint opportunities where AI and machine learning can solve problems, improve efficiency, and create value. You will help define project scopes and success metrics. Execute End-to-End ML Projects: Take ownership of machine learning initiatives from start to finish. This includes everything from data collection and preparation to model development, deployment, and ongoing monitoring in production environments. Programming & Data Engineering: Write clean, efficient code (primarily in Python) to build data pipelines, develop machine learning models, and automate analytical workflows. You will also work with SQL for data extraction and manipulation. Data Analysis & Modeling: Dive deep into manufacturing data (from sources like MES, ERP, and IoT sensors) to uncover patterns, engineer features, and build robust predictive or prescriptive models (e.g., for quality, maintenance, or process optimization). Communicate Insights: Translate complex technical findings into clear, understandable recommendations for non-technical stakeholders, helping them make data-driven decisions. Base Salary Range: $110,000 - $135,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

Must Have Technical/Functional Skills Technical: * Strong proficiency in Python / R (Pandas, NumPy, Scikit-learn, PySpark) * Experience with time-series data and event/alarm analytics,sliding winsows, inmemory DB * Knowledge of machine learning algorithms for classification, clustering, and anomaly detection * Experience with SQL, big data platforms (Spark, Hadoop),Kafka * Visualization tools: Tableau, Power BI, Grafana, or Python visualization libraries Domain * Understanding of Wireless Networks (2G/3G/4G/5G, RAN, Core) * Knowledge of IEN / IP / Ethernet networking concepts * Familiarity with network alarms, fault management, OSS/NMS systems Roles & Responsibilities Data Analysis & Insight Generation * Analyze large-scale wireless (RAN, Core) and IEN network alarm data from OSS/NMS systems * Identify patterns, trends, and recurring fault signatures across network domains * Develop KPIs and dashboards to track network health and fault trends Machine Learning & Modeling * Build models for: * Alarm correlation and noise reduction * Root cause analysis (RCA) * Anomaly detection * Predictive fault and failure forecasting * Apply supervised and unsupervised learning techniques (clustering, classification, time-series analysis) Data Engineering & Automation * Clean, normalize, and enrich alarm data from multiple sources * Integrate data from OSS, EMS, NMS, CMDB, and performance systems * Automate fault insight pipelines and model deployment Collaboration & Operations Support * Work closely with NOC, Network Engineering, and Reliability teams * Translate analytical findings into operational recommendations * Support proactive maintenance and incident prevention initiatives Visualization & Reporting * Create interactive dashboards and reports for real-time fault monitoring * Present insights clearly to technical and non-technical stakeholders Generic Managerial Skills: * Strong analytical and problem-solving skills * Ability to communicate insights effectively * Experience working in cross-functional operational teams Salary Range: $120,000-$150,000 a year #LI-DM1

* Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets. * Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering. * Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance. * Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling. * Deploy models using Azure, ensuring scalability and governance with MLOps best practices. * Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes. * Collaborate with engineering teams for productionization and monitoring of models. * Drive continuous improvement through metrics-driven insights and iterative refinements Salary Range: $110,000 $140,000 Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.

We are looking for a Data Scientist! This position will play a key role in shaping data-driven strategies that directly influence the bank's profitability, customer value, and market competitiveness. This role sits at the intersection of analytics, finance, and product strategy - transforming data into pricing intelligence that supports smarter, faster business decisions. Will design and implement advanced pricing and profitability models for retail banking products, leveraging internal performance metrics, market benchmarks, and third-party data sources. Through predictive modeling, elasticity analysis, and scenario testing, will help the organization optimize deposit and loan pricing, forecast financial outcomes, and identify growth opportunities. Collaborating across product, finance, and executive teams, will translate complex analytical findings into clear business recommendations that drive strategic action. Will also contribute to enhancing our analytics infrastructure - improving data pipelines, model governance, and reporting capabilities to strengthen enterprise-wide decision-making. Core Expertise: Pricing strategy · Profitability modeling · Financial forecasting · Machine learning · SQL · Python · R · Data visualization · Strategic analytics · Cross-functional collaboration CapFed is an equal opportunity employer.